Overview of the DAMA Certified Data Management Professional (CDMP) examination.
Session presented at DAMA Australia November 2013
chris.bradley@dmadvisors.co.uk
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Data Governance Powerpoint Presentation SlidesSlideTeam
Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Modelling 101 half day workshop presented by Chris Bradley at the Enterprise Data and Business Intelligence conference London on November 3rd 2014.
Chris Bradley is a leading independent information strategist.
Contact chris.bradley@dmadvisors.co.uk
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
This presentation reports on data governance best practices. Based on a definition of fundamental terms and the business rationale for data governance, a set of case studies from leading companies is presented. The content of this presentation is a result of the Competence Center Corporate Data Quality (CC CDQ) at the University of St. Gallen, Switzerland.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Data Governance Powerpoint Presentation SlidesSlideTeam
Create a policy of your data elements using Data Governance PowerPoint Presentation Slides. With the help of this data warehouse management PPT template, you can measure and capture the effectiveness of stored information. You can monitor the third-party data providers' performance by using a data management PowerPoint complete deck. If you want to highlight the importance of analytical activities and reporting issues, then use these data architecture PPT slides. There are several problems that companies suffer while gathering the statistics, thus describe that point with the help of an information governance PowerPoint presentation deck. By using our professionally designed business semantics management PPT visuals, you can compare the data in manually as well as in automated form. The data management framework PPT contains exclusive diagrams and high-grade icons with which you can make your presentation even more engaging. This data integration PowerPoint presentation comprises of a total of twenty-five slides. Therefore, download this ready-to-use data collection system PPT template and envelope the liquidities and accountabilities. https://bit.ly/3ku95BZ
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Modelling 101 half day workshop presented by Chris Bradley at the Enterprise Data and Business Intelligence conference London on November 3rd 2014.
Chris Bradley is a leading independent information strategist.
Contact chris.bradley@dmadvisors.co.uk
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Information Management training developed by Chris Bradley.
Education options include an overview of Information Management, DMBoK Overview, Data Governance, Master & Reference Data Management, Data Quality, Data Modelling, Data Integration, Data Management Fundamentals and DAMA CDMP certification.
chris.bradley@dmadvisors.co.uk
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Information Management Training & Certification from Data Management Advisors.
info@dmadvisors.co.uk
Courses available include:
Information Management Fundamentals,
Data Governance,
Data Quality Management,
Master & Reference Data,
Data Modelling,
Data Warehouse & Business Intelligence,
Metadata Management,
Data Security & Risk,
Data Integration & Interoperability,
DAMA CDMP Certification,
Business Process Discovery
Dubai training classes covering:
An Introduction to Information Management,
Data Quality Management,
Master & Reference Data Management, and
Data Governance.
Based on DAMA DMBoK 2.0, 36 years practical experience and taught by author, award winner CDMP Fellow.
Visualising Energistics WITSML XML Data Structures in Data Models. ECIM E&P conference, Haugesund Norway, September 2013.
chris.bradley@dmadvisors.co.uk
Information Management Fundamentals DAMA DMBoK training course synopsisChristopher Bradley
The fundamentals of Information Management covering the Information Functions and disciplines as outlined in the DAMA DMBoK . This course provides an overview of all of the Information Management disciplines and is also a useful start point for candidates preparing to take DAMA CDMP professional certification.
Taught by CDMP(Master) examiner and author of components of the DMBoK 2.0
chris.bradley@dmadvisors.co.uk
Data modelling for the business half day workshop presented at the Enterprise Data & Business Intelligence conference in London on November 3rd 2014
chris.bradley@dmadvisors.co.uk
Are you ready for Big Data? This assessment review from Data Management Advisors will provide pragmatic recommendations & actionable transition steps to help you achieve your Big Data goals & deliver actionable insights.
info@dmadvisors.co.uk
A 3 day examination preparation course including live sitting of examinations for students who wish to attain the DAMA Certified Data Management Professional qualification (CDMP)
chris.bradley@dmadvisors.co.uk
DAMA BCS Chris Bradley Information is at the Heart of ALL architectures 18_06...Christopher Bradley
Information is at the heart of ALL architectures and the business.
Presentation by Chris Bradley to BCS Data Management Specialist Group (DMSG) and DAMA at the event "Information the vital organisation enabler" June 2015
The what, why, and how of master data managementMohammad Yousri
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space.
The presentation is summarizing the article of Microsoft in a simple way.
https://msdn.microsoft.com/en-us/library/bb190163.aspx
Presentation by Chris Bradley, From Here On at the joint BCS DMSG/ DAMA event on 18/6/15.
YouTube video is here
• “In our division any internal unit we cross charge services to is called a Customer”
• “Marketing call Customers Clients”
• “Sales refer to Prospects and Suspects, but to me they all look similar to Customers”
• “We have “Customers” who’ve signed up for a service even though they haven’t yet placed an order – it’s about the Customer status”
This is by no means an unfamiliar dialogue when trying to get agreement on terms for a Business Modelling or Architecture planning exercise. There’s no point in trying to define business processes, goals, motivations and so on unless we have a common understanding on the language of the things we’re describing.
Since Information has to be understood to be managed, it stands to reason that something whose very purpose is to gain agreement on the meaning and definition of data concepts will be a key component. That is one of the major things that the Information Architecture provides.
At its heart, the Information Architecture provides the unifying language, lingua franca, the common vocabulary upon which everything else is based. Each other modelling technique within the complimentary architecture disciplines will interact with each other, forming a supportive; cross checked, integrated and validated set of techniques.
Furthermore. the way in which data modelling is being taught in many academic institutions and it’s perception in many organisations does not reflect the real value that data models can realise. Information Professionals must move away from the DBMS design mentality and deliver models in consumable formats which are fit for many purposes, not simply for technical design.
This talk emphasises the role of Information at the heart of all Enterprise Architecture disciplines & how well formed Information artefacts can be exploited in complimentary practices.
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningDATAVERSITY
How to get your MDM program up & running”
This session will deliver a Master Data Management primer to introduce:
Master vs Reference data
Multi vs Single domain MDM solutions
A MDM reference architecture and
MDM implementation architectures
This will be illustrated with a real world example from describing how to identify & justify the appropriate data subjects areas that are right for mastering and how to align an MDM initiative with in-flight business initiatives and make the business case.
Introduction to Data Governance
Seminar hosted by Embarcadero technologies, where Christopher Bradley presented a session on Data Governance.
Drivers for Data Governance & Benefits
Data Governance Framework
Organization & Structures
Roles & responsibilities
Policies & Processes
Programme & Implementation
Reporting & Assurance
“Opening Pandora’s box” - Why bother data model for ERP systems?
This presentation covers :
a. Why should you bother with data modelling when you’ve got or are planning to get an ERP?
i. For requirements gathering.
ii. For Data migration / take on
iii. Master Data alignment
iv. Data lineage (particularly important with Data Lineage & SoX compliance issues)
v. For reporting (Particularly Business Intelligence & Data Warehousing)
vi. But most importantly, for integration of the ERP metadata into your overall Information Architecture.
b. But don’t you get a data model with the ERP anyway?
i. Errr not with all of them (e.g. SAP) – in fact non of them to our knowledge
ii. What can be leveraged from the vendor?
c. How can you incorporate SAP metadata into your overall model?
i. What are the requirements?
ii. How to get inside the black box
iii. Is there any technology available?
iv. What about DIY?
d. So, what are the overall benefits of doing this:
i. Ease of integration
ii. Fitness for purpose
iii. Reuse of data artefacts
iv. No nasty data surprises
v. Alignment with overall data strategy
Big Data, why the Big fuss.
Volume, Variety, Velocity ... we know the 3 V's of Big Data. But Big Data if it yields little Information is useless, so focus on the 4th V = Value.
If you haven't sorted quality & data governance for your "little data" then seriously consider if you want to venture into the world of Big Data
DAS Slides: Building a Future-State Data Architecture Plan - Where to Begin?DATAVERSITY
With technology changing at an ever more rapid pace and business requirements ever-evolving to meet the needs of the market, building a future-state Data Architecture plan can be a challenge. Join this webinar to learn practical ways to balance technology and business needs as you develop your future-state architecture for the coming years.
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
Data Modeling is hotter than ever, according to a number of recent surveys. Part of the appeal of data models lies in their ability to translate complex data concepts in an intuitive, visual way to both business and technical stakeholders. This webinar provides real-world best practices in using Data Modeling for both business and technical teams.
DAS Slides: Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in data architecture, along with practical commentary and advice from industry expert Donna Burbank.
DAS Slides: Best Practices in Metadata ManagementDATAVERSITY
Metadata is hotter than ever, according a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies and approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies and technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption and use.
Conference Chairman Keynote & Welcome
Capitalizing on MDM in Times of Crisis
Aaron Zornes, Founder & Chief Research Officer, The MDM Institute
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MDM is particularly important in today’s increasingly complex and harsh global business landscape – in part due to increasingly demanding suppliers, trading partners, customers … as well as financial challenges and government regulations. Despite the current economic crisis, analyst firms have declared MDM to be “recession proof” as businesses strive to dramatically reduce costs, meet compliance reporting mandates, deliver increased sales and marketing effectiveness, and provide superior service to customers and suppliers. MDM and its variants – customer data integration (CDI), product information management (PIM), and data governance – all significantly contribute to these tactical business priorities.
Research analysts at the MDM Institute annually produce a set of twelve milestones for their MDM Road Map to help Global 5000 enterprises focus efforts for their own large-scale, mission-critical MDM projects. This keynote will focus on this set of strategic planning assumptions and present an enlightening view of the key trends and issues facing IT organizations during 2009-10 and beyond by highlighting:
Understanding the impact of MDM market momentum, maturation, and consolidation
Coping with the skills shortage for data governance, MDM project leadership, & enterprise architecture
Identifying the essential (vs. desirable) features of an enterprise-strength MDM solution
Lessons in Data Modeling: Why a Data Model is an Important Part of Your Data ...DATAVERSITY
Data can provide tremendous value to an organization in today’s information-driven economy. New customer insights, better efficiency, and new product innovation are just some of the ways organizations are obtaining value through data. But in order to achieve this value, a strong data architecture is required to ensure that the data infrastructure runs smoothly, while at the same time aligning with business needs and corporate culture. A Data Strategy can assist in building a data architecture foundation through:
Identifying business requirements, rules & definitions via a business-centric data model
Creating a data inventory & integrating disparate data sources
Building a technical data architecture through data models & related artifacts
Coordinating the people, processes and culture necessary for success
Identifying tools & technology needed for creating & maintaining high quality data
Data management requires a very special skillset. Data management necessitates IT skills to understand data operations, flows, and technology stack. It calls for the ability to engage and understand strategic business logic and needs. It requires an appreciation of legal and security concerns. It demands an understanding of data, a valuable but much-misunderstood asset, must be managed. And, above all, it requires a passion for data. We cannot offers consultants who check all the boxes, but as an agency, we do have the range of skills across our 60 data engineers and consultants to take on even the most challenging enterprise-level projects.
Since our first client, P&G, in 2005, we have had the privilege to work with some prestigious firms, leaders in their sectors. Those sectors have included everything from FMCG & Retail, Banking & Insurance, Oil & Gas, and manufacturing. We have implemented complex data technology stocks that have become case studies for major partners such as IBM, advised leading brands on their journey to digital transformation, and developed data strategies at the national level. We are genuinely proud of our team's achievements and look forward to new and ever greater challenges.
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Matt Turner
There is much more to becoming truly data driven and delivering the value of data investments. Overcoming the “Data Chaos” means making data accessible with data governance, creating a data culture, sharing knowledge through collaboration and data literacy to put data into action. This session will help enrich your data strategy and enable your organization to deliver data value.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
Paper which discusses the notion that Data is NOT the "new Oil". We hear copious amounts said that Data is an asset, it's got to be managed, few people in the business understand it & so on. The phrase "Data is the new Oil" gets used many times, yet is rarely (if ever) justified. This paper is aimed to raise the level of debate from a subliminal nod to a conscious examination of the characteristics of different "assets" (particularly Oil) and to compare them with those of the 'Data asset".
Written by Christopher Bradley, CDMP Fellow, VP Professional Development DAMA International & 38 years Information Management experience, much of it in the Oil & Gas industry.
Information Management Training Courses & Certification approved by DAMA & based upon practical real world application of the DMBoK.
Includes Data Strategy, Data Governance, Master Data Management, Data Quality, Data Integration, Data Modelling & Process Modelling.
A Data Management Advisors discussion paper comparing the characteristics of different types of "assets" and asking the question "Is the data asset REALLY different"?
Information is at the heart of all architecture disciplinesChristopher Bradley
Information is at the Heart of ALL the business & all architectures.
A white paper by Chris Bradley outlining why Information is the "blood" of an organisation.
This is a 3 day advanced course for students with existing data modelling experience to enable them to build quality data models that meet business needs. The course will enable students to:
* Understand and practice different requirements gathering approaches.
* Recognise the relationship between process and data models and practice capturing requirements for both.
* Learn how and when to exploit standard constructs and reference models.
*Understand further dimensional modelling approaches and normalisation techniques.
* Apply advanced patterns including "Bill of Materials" and "Party, Role, Relationship, Role-Relationship"
* Understand and practice the human centric design skills required for effective conceptual model development
* Recognise the different ways of developing models to represent ranges of hierarchies
This is a 3 day introductory course introducing students to data modelling, its purpose, the different types of models and how to construct and read a data model. Students attending this course will be able to:
Explain the fundamental data modelling building blocks. Understand the differences between relational and dimensional models.
Describe the purpose of Enterprise, conceptual, logical, and physical data models
Create a conceptual data model and a logical data model.
Understand different approaches for fact finding.
Apply normalisation techniques.
Information is at the heart of all architecture disciplines & why Conceptual ...Christopher Bradley
Information is at the heart of all of the architecture disciplines such as Business Architecture, Applications Architecture and Conceptual Data Modelling helps this.
Also, data modelling which helps inform this has been wrongly taught as being just for Database design in many Universities.
chris.bradley@dmadvisors.co.uk
Data modelling has been around since the mid 1970's but in many organisations there is considerable scepticism and downright distrust regarding the place dta modelling should occupy. So why does data modelling still have to be "sold" in many companies, and in others people simply don't believe it's necessary " the software package has all I need"! This paper looks at the failure of organisations to capitalise on the benefits data modelling can yield and examines where in the changing information systems landscape modelling is relevant.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
CDMP Overview Professional Information Management Certification
1. P / 1
C H R I S T O P H E R B R A D L E Y ( D A M A C D M P F E L L O W )
DAMA Certified
Data Management
Professional (CDMP)
Overview
DAMA Australia November 2013
2. P / 2
Christopher Bradley
I N F O R M AT I O N M A N A G E M E N T S T R AT E G I S T
Information Management, Life & Petrol
http://infomanagementlifeandpetrol.blogspot.com
@InfoRacer
uk.linkedin.com/in/christophermichaelbradley/
+44 7973 184475 (mobile)
Chris.Bradley@DMAdvisors.co.uk
+44 1225 923000 (office)
3. P / 3
Christopher BradleyChris has 36 years of Information Management experience &
is a leading Independent Information Management strategy
advisor.
In the Information Management field, Chris works with
prominent organizations including Alba Leasing, HSBC,
Celgene, GSK, Pfizer, Icon, Quintiles, Total, Barclays, ANZ,
GSK, Shell, BP, Statoil, Riyad Bank & Aramco. He addresses
challenges faced by large organisations in the areas of Data
Governance, Master Data Management, Information
Management Strategy, Data Quality, Metadata Management
and Business Intelligence.
He is President of DAMA UK, DAMA- I DMBOK 2 author.
In April 2016 he became the inaugural CDMP Fellow, and
received the DAMA lifetime professional
achievement award.
He is an author & examiner for CDMP, a Fellow of the
Chartered Institute of Management Consulting (now IC) a
member of the MPO, and SME Director of the DM Board.
A recognised thought-leader in Information Management
Chris is the author of numerous papers, books, including
sections of DMBoK 2.0, a columnist, a frequent contributor
to industry publications and member of several IM
standards authorities.
He leads an experts channel on the influential
BeyeNETWORK, is a sought after speaker at major
international conferences, and is the co-author of “Data
Modelling For The Business – A Handbook for aligning
the business with IT using high-level data models”. He
also blogs frequently on Information Management (and
motorsport).
5. Recent Presentations
MDM DG Europe: May 2016 London; “Data Governance by Stealth”
Webinar: May 2016; “Data Modelling is not JUST for DBMS design”
Enterprise Data World: April 2016 San Diego; “DAMA CDMP Workshop”
DAMA Webinar: April 2016; “Data Integration & Interoperability” Disciplines of the DAMA
DMBoK”
DAMA Webinar: March 2016; “Document & Content Management” Disciplines of the DAMA
DMBoK”
DAMA Webinar: February 2016; “Data Operations Management” Disciplines of the DAMA
DMBoK”
Oil & Gas Data Management Conference: February 2016, London; “Developing An Information
Strategy To Align With In-Flight Business Programs”
DAMA Webinar: January 2016; “Data Governance” Disciplines of the DAMA DMBoK”
DAMA Webinar: December 2015; “Information Lifecycle Management” Disciplines of the DAMA
DMBoK”
DAMA Webinar: November 2015; “MetaData Management” Disciplines of the DAMA DMBoK”
Enterprise Data & BI Europe (IRM): November 2015, London; “Is the Data Asset really different?”
& “CDMP Examination Preparation” & “Data Management Room 101”
DAMA Webinar: October 2015; “Data Risk & Security” Disciplines of the DAMA DMBoK”
DAMA Webinar: September 2015; “Data Warehousing & Business Intelligence” Disciplines of the
DAMA DMBoK”
DAMA Webinar: August 2015; “Data Quality Management” Disciplines of the DAMA DMBoK”
BCS & DAMA Seminar: June 2015; “Is the Data Asset really different?”
DAMA Webinar: June 2015; “Data Modelling” Disciplines of the DAMA DMBoK”
PRISME Pharmaceutical Congress: May 2015, Basel, CH; “Building & exploiting a Pharmaceutical
Industry consensus data model”
MDM DG Europe (IRM): May 2015, London; “CDMP Examination Preparation” & “Data Governance By
Stealth?, Can you ‘sell’ Data Governance if the stakeholders don’t get it?”
DAMA Webinar: April 2015; “Master & Reference Data Management” Disciplines of the DMBoK”
Enterprise Data World: April 2015, Washington DC USA; “Data Modelling For The Business” and
“Evaluating Information Management Tools”
DAMA Webinar: February 2015; “An Introduction to the Information Disciplines of the DMBoK”
Dataversity Webinar: February 2015; “How to successfully introduce Master & Reference data
management”
Petroleum Information Management Summit 2015: February 2015, Berlin DE,
“How to succeed with MDM and Data Governance”
Enterprise Data & Business Intelligence 2014: (IRM), November 2014, London, UK “Data Modelling 101”
Enterprise Data World: (DataVersity), May 2014, Austin, Texas, “MDM Architectures & How to identify the right
Subject Area & tooling for your MDM strategy”
E&P Information Management Dubai: (DMBoard),17-19 March 2014, Dubai, UAE “Master Data Management
Fundamentals, Architectures & Identify the starting Data Subject Areas”
DAMA Australia: (DAMA-A),18-21 November 2013, Melbourne, Australia “DAMA DMBoK 2.0”, “Information
Management Fundamentals” 1 day workshop”
Data Management & Information Quality Europe: (IRM Conferences), 4-6 November 2013, London, UK; “Data
Modelling Fundamentals” ½ day workshop: “Myths, Fairy Tales & The Single View” Seminar; “Imaginative Innovation
- A Look to the Future” DAMA Panel Discussion
IPL / Embarcadero series: June 2013, London, UK, “Implementing Effective Data Governance”
Riyadh Information Exchange: May 2013, Riyadh, Saudi Arabia; “Big Data – What’s the big fuss?”
Enterprise Data World: (Wilshire Conferences), May 2013, San Diego, USA, “Data and Process Blueprinting – A
practical approach for rapidly optimising Information Assets”
Data Governance & MDM Europe: (IRM Conferences), April 2013, London, “Selecting the Optimum Business
approach for MDM success…. Case study with Statoil”
E&P Information Management: (SMI Conference), February 2013, London,
“Case Study, Using Data Virtualisation for Real Time BI & Analytics”
E&P Data Governance: (DMBoard / DG Events), January 2013, Marrakech, Morocco, “Establishing a successful
Data Governance program”
Big Data 2: (Whitehall), December 2012, London, “The Pillars of successful knowledge management”
Financial Information Management Association (FIMA): (WBR), November 2012, London; “Data Strategy as a
Business Enabler”
Data Modeling Zone: (Technics), November 2012, Baltimore USA; “Data Modelling for the business”
Data Management & Information Quality Europe: (IRM), November 2012, London; “All you need to know to
prepare for DAMA CDMP professional certification”
ECIM Exploration & Production: September 2012, Haugesund, Norway:
“Enhancing communication through the use of industry standard models; case study in E&P using WITSML”
Preparing the Business for MDM success: Threadneedles Executive breakfast briefing series, July 2012, London
Big Data – What’s the big fuss?: (Whitehall), Big Data & Analytics, June 2012, London,
Enterprise Data World International: (DAMA / Wilshire), May 2012, Atlanta GA,
“A Model Driven Data Governance Framework For MDM - Statoil Case Study”
“When Two Worlds Collide – Data and Process Architecture Synergies” (rated best workshop in conference);
“Petrochemical Information Management utilising PPDM in an Enterprise Information Architecture”
Data Governance & MDM Europe: (DAMA / IRM), April 2012, London,
“A Model Driven Data Governance Framework For MDM - Statoil Case Study”
AAPG Exploration & Production Data Management: April 2012, Dead Sea Jordan; “A Process For Introducing
Data Governance into Large Enterprises”
PWC & Iron Mountain Corporate Information Management: March 2012, Madrid; “Information Management &
Regulatory Compliance”
DAMA Scandinavia: March 2012, Stockholm,
“Reducing Complexity in Information Management” (rated best presentation in conference)
Ovum IT Governance & Planning: March 2012, London; “Data Governance – An Essential Part of IT
Governance”
American Express Global Technology Conference: November 2011, UK,
“All An Enterprise Architect Needs To Know About Information Management”
FIMA Europe (Financial Information Management):, November 2011, London; “Confronting The Complexities Of
Financial Regulation With A Customer Centric Approach; Applying a Master Data Management And Data
Governance Process In Clydesdale Bank “
Data Management & Information Quality Europe: (DAMA / IRM), November 2011, London, “Assessing &
Improving Information Management Effectiveness – Cambridge University Press Case Study”; “Too Good To Be
True? – The Truth About Open Source BI”
ECIM Exploration & Production: September 12th 14th 2011, Haugesund, Norway: “The Role Of Data
Virtualisation In Your EIM Strategy”
Enterprise Data World International: (DAMA / Wilshire), April 2011, Chicago IL; “How Do You Want Yours Served?
– The Role Of Data Virtualisation And Open Source BI”
Data Governance & MDM Europe: (DAMA / IRM), March 2011, London; “Clinical Information Data
Governance”
Data Management & Information Management Europe: (DAMA / IRM), November 2010, London,
“How Do You Get A Business Person To Read A Data Model?
DAMA Scandinavia: October 26th-27th 2010, Stockholm, “Incorporating ERP Systems Into Your Overall Models &
Information Architecture” (rated best presentation in conference)
BPM Europe: (IRM), September 27th – 29th 2010, London; “Learning to Love BPMN 2.0”
Information Management in Pharmaceuticals: September 15th 2010, London,
“Clinical Information Management – Are We The Cobblers Children?”
ECIM Exploration & Production: September 13th 15th 2010, Haugesund, Norway: “Information Challenges and
Solutions” (rated best presentation in conference)
6. P / 6
Recent Publications
Book: “Data Modelling For The Business – A Handbook for aligning the business with IT using high-level data models”; Technics
Publishing; ISBN 978-0-9771400-7-7; http://www.amazon.com/Data-Modeling-Business-Handbook-High-Level
Book: “DAMA Data Management Body Of Knowledge 2.0” ; Technics Publishing; ISBN TBD
Article: Back to the future for Data management? September 2015
Article: Is the “Data Asset” really different? July 2015
Article: A visit to the vet & a BA flight reminded me about Data Governance; June 2015
White Paper: “Information is at the heart of ALL Architecture disciplines”,; March 2014
White Paper: “Are you ready for Big Data ?”, November 2013
Article: The Bookbinder, the Librarian & a Data Governance story ; July 2013
Article: Data Governance is about Hearts and Minds, not Technology January 2013
White Paper: “The fundamentals of Information Management”, January 2013
White Paper: “Knowledge Management – From justification to delivery”, December 2012
Article: “Chief INFORMATION Officer? Not really” Article, November 2012
White Paper: “Running a successful Knowledge Management Practice” November 2012
White Paper: “Big Data Projects are not one man shows” June 2012
Article: “IPL & Statoil’s innovative approach to Master Data Management in Statoil”, Oil IT Journal, May 2012
White Paper: “Data Modelling is NOT just for DBMS’s” April 2012
Article: “Data Governance in the Financial Services Sector” FSTech Magazine, April 2012
Article: “Data Governance, an essential component of IT Governance" March 2012
Article: “Leveraging a Model Driven approach to Master Data Management in Statoil”, Oil IT Journal, February 2012
Article: “How Data Virtualization Helps Data Integration Strategies” BeyeNETWORK (December 2011)
Article: “Approaches & Selection Criteria For organizations approaching data integration programmes” TechTarget (November 2011)
Article: Big Data – Same Problems? BeyeNETWORK and TechTarget. (July 2011)
Article “10 easy steps to evaluate Data Modelling tools” Information Management, (March 2010)
Article “How Do You Want Your Data Served?” Conspectus Magazine (February 2010)
Article “How do you want yours served (data that is)” (BeyeNETWORK January 2010)
Article “Seven deadly sins of data modelling” (BeyeNETWORK October 2009)
Article “Data Modelling is NOT just for DBMS’s” Part 1 BeyeNETWORK July 2009 and Part 2 BeyeNETWORK August 2009
Web Channel: BeyeNETWORK “Chris Bradley Expert Channel” Information Asset Management
http://www.b-eye-network.co.uk/channels/1554/
Article: “Preventing a Data Disaster” February 2009, Database Marketing Magazine
7. P / 7
Training, Mentoring, and Executive Workshops
We offer a number of training courses for practitioners and management, and custom-built, training & awareness
seminars can also be delivered.
The following training courses are available:
• Information Management Fundamentals – 4 (or 5) day introductory course covering all of the components of Information
Management as defined in the DAMA Body of Knowledge (DMBoK) & the forthcoming changes in DMBoK 2.0
• Data Modelling Fundamentals – 3 day intermediate course introducing students to data modelling, its purpose, the different
types of models and how to construct and read a data model.
• Advanced Data Modeling – 3 day advanced course for students with data modelling experience to understand the human centric
aspects of data modelling to enable them to build quality models that meet business needs.
• IM Fundamentals & Practitioner Courses – A series of 1 day (foundation) and 2 day (practitioner) classes to give practitioners a solid
background in a specific Information Management topics. The 2 day practitioner workshops explore more detail on the
implementation aspects of the particular Information Management discipline
• Data Modelling Foundation (1 day only)
• Data Governance Foundation & Practitioner
• Master & Reference Data Foundation & Practitioner
• Data Quality Management Foundation & Practitioner
• Data Warehouse & Business Intelligence Foundation & Practitioner
• Data Integration Foundation & Practitioner
• Executive Workshops – ½ and 1 day executive workshop(s) designed to give non-technical managers a basic understanding of a
various Information Management topics and their importance to the organisation.
• CDMP Certification – 3 day workshop “exam cram” designed to help attendees pass the DAMA CDMP certification. Sitting the live
examinations is included as part of the workshop.
• Integrated Business Process, Data & Requirements Definition – 5 day intensive class to show students an integrated
requirements discovery and definition approach covering business process, different types of requirements modelling, and the
critical role of the conceptual data model.
9. Information
Management
Foundation
(1 day)
Data Modelling
Foundation
(1 day)
Introductory Intermediate Advanced / Deep Dive
Advanced Data Modelling
(3 days)
Integrated Business Process, Data Requirements and
Discovery
(5 days)
DAMA-I CDMP
Exam Cram &
Certification
(3 days)
Level
Information
Management For
The Business
(½ and 1 day)
Multiple Levels of Training for Various Audiences
Data Modelling Fundamentals
(3 days)
The “client Way” Information Management Mentoring
Information Management Fundamentals
(4 or 5 days)
Data Quality Management
Implementation & Practice (1 and 2
day)
Data Warehouse & Business Intelligence
Implementation & Practice (1 and 2
day)
Reference & Master Data Management
Implementation & Practice (1 and 2
day)
Data Governance Implementation &
Practice (1 and 2 day)
Data Integration Implementation &
Practice (1 and 2 day)
10. P / 1 0
Information Management Fundamentals
Course Objectives: T o g i v e p a r t i c i p a n t s
a s o l i d g r o u n d i n g i n a l l o f t h e c o r e
I n f o r m a t i o n M a n a g e m e n t c o n c e p t s .
A d d i t i o n a l l y i t p r o v i d e s a f o u n d a t i o n
f o r s t u d e n t s c o n s i d e r i n g D A M A C D M P
p r o f e s s i o n a l c e r t i f i c a t i o n
C o u r s e D e s c r i p t i o n : A 4 ( o r 5 )
d a y c o u r s e c o v e r i n g a l l t h e
d i s c i p l i n e s o f I n f o r m a t i o n
M a n a g e m e n t a s d e f i n e d i n t h e
D A M A b o d y o f k n o w l e d g e ( D M B o K ) .
T a u g h t b y D A M A D M B o K ( 2 . 0 ) a u t h o r
& C D M P ( F e l l o w ) t h i s p r o v i d e s a
s o l i d f o u n d a t i o n a c r o s s t h e
c o m p l e t e I n f o r m a t i o n M a n a g e m e n t
s p e c t r u m .Course Content:
Introduction to the DMBoK: What is the DMBoK, its intended purpose and audience of the DMBoK. Changes due in DMBoK 2.0, relationship
of the DMBoK with other frameworks (TOGAF / COBIT etc.). DAMA CDMP professional certification overview & CDMP exam coverage by DMBoK section.
Data Governance: Why Data Governance is at the heart of successful IM. A typical DG reference model. DG roles & responsibilities, the role of the DGO & its relationship with the PMO.
How to get started with Data Governance.
Data Quality Management: The Dimensions of Data Quality, policies, procedures, metrics, technology and resources for ensuring Data Quality is measured and ultimately continually
improved. DQ reference model. Capabilities & functionality of tools to support Data Quality management.
Master & Reference Data Management: Differences between Reference & Master Data. Identification and management of Master Data across the enterprise. 4 generic MDM
architectures & their suitability in different cases. MDM maturity assessment to consider business procedures for MDM and the provision and appropriateness of MDM solutions per major
data subject area. How to incrementally implement MDM to align with business priorities.
Data Warehousing & BI Management: Provision of Business Intelligence (BI) to the enterprise and the manner in which data consumed by BI solutions and the resulting reports are
managed. Particularly important if the data is replicated into a Data Warehouse. Types of BI, DW and Analytics.
Data Modelling & Metadata Management: Provision of metadata repositories and the means of providing business user access and glossaries from these. The development, use and
exploitation of data models, ranging from Enterprise, through Conceptual to Logical, Physical and Dimensional. Maturity assessment to consider the way in which models are utilized in the
enterprise and their integration in the Software Development Life Cycle (SDLC).
Data Architecture Management: Approaches, plans, considerations and guidelines for provision of Data Integration and access. Consideration of P2P, ETL, CDC, Hub & Spoke, Service-
orientated Architecture (SOA), Data Virtualization and assessment of their suitability for the particular use cases.
Data Lifecycle Management: Proactive planning for the management of Data across its entire lifecycle from inception through, acquisition, provisioning, exploitation eventually to
destruction. This IM discipline and its maturity assessment determine how well this is planned for and accomplished.
Data Security & Privacy: Identification of threats and the adoption of defences to prevent unauthorized access, use or loss of data and particularly abuse of personal data. Exploration of
threat categories, defence mechanisms & approaches, and implications of security & privacy breaches.
Regulatory Compliance: The polices and assurance processes that the enterprise is required to meet. Adapting to the changing legal and regulatory requirements related to information
and data. Assessing the approach to regulatory compliance & understanding the sanctions of non-compliance.
Data Risk Management: Identification of risks (not just security) to data and its use, together with risk mitigation, controls and reporting.
Data Management Tools & Repository: Examination of the categories of tools supporting the IM disciplines. How to select the appropriate toolset. Discussion of an example policy for
use of specific technology to ensure consistency and interoperability across the enterprise.
Data Integration & Interoperability: A new discipline introduced into DMBoK 2.0. DI&I covers addresses the different types of Data Integration approaches ranging from P2p through
ETL to DV and EAI. The applicability of the different approaches, issues and implications of each will be discussed together with an outline of the technologies that support these styles of
integration.
11. P / 1 1
Data Modelling Fundamentals
C o u r s e O b j e c t i v e s : E x p l a i n t h e
f u n d a m e n t a l d a t a m o d e l l i n g b u i l d i n g
b l o c k s . U n d e r s t a n d t h e d i f f e r e n c e s
b e t w e e n r e l a t i o n a l a n d d i m e n s i o n a l
m o d e l s . D e s c r i b e t h e p u r p o s e o f
E n t e r p r i s e , C o n c e p t u a l , L o g i c a l , a n d
P h y s i c a l d a t a m o d e l s C r e a t e a
C o n c e p t u a l a n d a L o g i c a l D a t a
m o d e l . U n d e r s t a n d d i f f e r e n t
a p p r o a c h e s f o r f a c t f i n d i n g & h o w t o
a p p l y n o r m a l i s a t i o n t e c h n i q u e s .
C o u r s e D e s c r i p t i o n : A 3 d a y
i n t e r m e d i a t e c o u r s e i n t r o d u c i n g
s t u d e n t s t o d a t a m o d e l l i n g , i t s
p u r p o s e , t h e d i f f e r e n t t y p e s o f
m o d e l s , h o w t o c o n s t r u c t a n d r e a d
a d a t a m o d e l , a n d t h e w i d e r u s e o f
d a t a m o d e l s .
Course Content:
• What is Data Modeling and why does it matter? What is the
relationship between a data model and other types of models?
• What is a Conceptual Data model, why it’s important and the
pivotal role it plays in all architecture disciplines;
• The major differences between Enterprise, Conceptual, Logical,
Physical and Dimensional data models
• How to use high-level data models to communicate with business
people to get the core information you require to build robust
applications.
• What core information is needed to create a data model, how this
can be easily communicated to business people, and what visual
constructs to use to get their attention?
• Templates and guidelines for a step-by-step approach to
implementing a high-level data model in your organization
• Data vs MetaData; what’s the difference and why does it matter
• Approaches for creating a data model (Top Down, Bottom Up,
Middle out) and when to use them.
• Data Modelling Basics; Entities, Attributes, Relationships Keys
• How to identify Entities and Subtypes
• Basic standards
• Relationships: Cardinality, Optionality, Identifying,, Non-
identifying, recursive, and many-to-many
• Rules for handling Super types, subtypes, many to many and
recursive relationships
• Keys: Primary, Natural, Surrogate, Alternate, Inverted, Foreign
• Attribute properties & attribute domains
• Data Modelling Notations and tooling
• Normalisation: 1st, 2nd and 3rd normal form and a brief overview
of other normal forms
• A checklist for Data Model quality
• Layout, presenting, and communication a data model to non
modellers
• Why data modelling is NOT just for RDBMS’s (its relevance to
Packages, SOA, XML, Business Communication,
Data Lineage and BI)
12. P / 1 2
Advanced Data Modelling
Course Objectives: U n d e r s t a n d a n d p r a c t i c e
d i f f e r e n t r e q u i r e m e n t s g a t h e r i n g
a p p r o a c h e s . R e c o g n i s e t h e r e l a t i o n s h i p
b e t w e e n p r o c e s s a n d d a t a m o d e l s a n d
p r a c t i c e c a p t u r i n g r e q u i r e m e n t s f o r b o t h .
L e a r n h o w a n d w h e n t o e x p l o i t s t a n d a r d
c o n s t r u c t s a n d r e f e r e n c e m o d e l s .
U n d e r s t a n d f u r t h e r d i m e n s i o n a l d a t a
m o d e l l i n g a p p r o a c h e s a n d n o r m a l i s a t i o n
t e c h n i q u e s .
C o u r s e D e s c r i p t i o n : A 3 d a y
a d v a n c e d c o u r s e f o r s t u d e n t s w i t h
d a t a m o d e l l i n g e x p e r i e n c e t o
e x p l o r e t h e h u m a n c e n t r i c a s p e c t s
o f c o n c e p t u a l d a t a m o d e l l i n g , u s e
o f p a t t e r n s a n d o t h e r a d v a n c e d
t o p i c s t o e n a b l e t h e m t o b u i l d
q u a l i t y d a t a m o d e l s t h a t m e e t
b u s i n e s s n e e d s .
Course Content:
• Data modeling recap: Modeling basics, major constructs,
identifying entities, model levels and linkage between them.
• Understanding the purpose of the model: Why is this being
created & what are we trying to accomplish with a model?
• Top down requirements capture: When is it appropriate, what are
the limitations.
• Bottom up requirements synthesis: When this works, where is it
appropriate. How do we cope with existing DBMS’s and systems.
• Middle out: Is this always the best approach for requirements?
• Interviews, Questionnaires, Workshops: How to select the fact
fining approach and when the are and are not appropriate.
• Why Information Architects need to understand Business
Processes since information is acted on by the processes.
• How to capture requirements for both Data and Process needs.
• Creating a Conceptual data model and Conceptual process
model.
• Improving communication between modellers and business
stakeholders, & how to use high-level data models to aid
communication (and when not to).
• Presenting data models to business users and how to conduct
feedback sessions. A data model quality checklist
• Checking the Data vs the MetaData; why does it matter?
• Use of standard data model constructs, and pattern models:
• Understanding the Bill of materials (BOM) construct. Where can it
be applied, why it’s one of the most powerful modelling
constructs.
• Party; Role; Relationship: Why mastering this construct can
provide phenomenal flexibility.
• Mastering Hierarchies: Different approaches for modelling
hierarchies.
• Dimensional data modelling: Beyond the basics with conformed
dimensions, bridges, junk dimensions & factless facts.
• Data Modelling Notations and tooling
• Normalisation: Progressing beyond 3NF. 4NF, 5NF Boyce-Codd,
and why, and when to use them.
• Data modelling is NOT just for RDBMS’s: Case studies on other
uses.
13. P / 1 3
Data Modelling Foundation
Course Description: Part of the Information Management “Foundation” series: A 1 day
foundation class in Data Modelling to give practitioners an overview of Data Modelling, one
of the most crucial of the Information Management disciplines.
Data Modeling Foundation (1 day):
• Overview of Data Modeling: What is Data Modelling, Why is Important, What areas are
impacted and influenced by Data models, what are the benefits and uses of data models.
• Levels and purposes of data models. What are the different types and why (and when) are they
appropriate.
• Data modelling basics, entities, attributes & relationships. The major constructs in data models.
• Identifying entities, model levels and linkage between them.
• Understanding the purpose of the model: Why is this being created & what are we trying to
accomplish with a model?
• Different approaches to capturing requirements for creation of data models.
• Why Information Architects need to understand Business Processes since information is acted on
by the processes.
• Creating a Conceptual data model.
• How to use high-level data models to communicate with business people.
• Why Data modeling is NOT just for RDBMS’s: How data models are important for Package
selection & implementation, DW/BI, Data Integration, SOA and Communication with the
business.
• Case studies on different uses of Data Models.
14. P / 1 4
Data Governance Foundation & Practitioner
Course Description: Part of the Information Management “Foundation” and ”Practitioner” series: The
class covering the need for Data Governance, its outcome, typical organization structures for Data
Governance, the roles responsibilities and activities involved in establishing successful Data Governance, and
metrics for measuring progress of a Data Governance initiative. The 2 day class explores a Framework for and
how to get started with Data Governance.
Data Governance Foundation (1 day) & Practitioner (2 day):
• Introduction to Data Governance: What is Data Governance & why it matters.
• The relationship between Data Governance & the other Information disciplines
• Data Governance & IT Governance; is there a difference and why it matters.
• A pragmatic workable framework for Data Governance
• How to make the case for Data Governance and the issues faced when Data Governance is not
present.
• Starting a Data Governance Program: Establishing Data Governance, program establishment
and set up, developing the business case & foundation activities.
• The typical roles, responsibilities, organization structures and principles for successful Data
Governance.
• Keeping it going: Now its started; how do you sustain Data Governance. Baking Data
Governance into Business As Usual activities and making it real
• The role of the Data Governance Office
• Data Governance metrics and their relationship with Data Quality
15. P / 1 5
Master & Reference Data Management Foundation &
Practitioner
Course Description: Part of the Information Management “Foundation” and “Practitioner” series: A 1
day foundation class or 2 day practitioner class covering the different MDM architectures, genres,
applications and activities involved in running a successful Master Data Management initiative. The 2 day
class explores how to get started with Reference & MDM and outlines a successful framework for achieving
MDM success.
Master & Reference Data Management Foundation (1 day) & Practitioner (2 day):
• What is Master Data Management, what is the difference between Master and Reference Data
and why it matters.
• What are the different types of MDM Architectures. These vary from a full central hub, through
hybrid to virtualised with many flavours and variants along the way.
• The applicability of different MDM architectural styles to differing business problems and why
identifying the correct architecture for your type and usage of Master Data is crucial.
• An Reference Architecture Model for Master & Reference Data Management and exploration of the
typical components and functions in the Reference Architecture.
• How to identify & select the right tooling for your environment and Master Data business needs.
• More MDM architecture considerations: Single domain and Multi domain MDM solutions, the advantages & disadvantages of each
and how to determine what's most appropriate for you.
• Implementation styles: Operational & Analytical MDM. The issues and implications associated with the different approaches and
why getting this right impacts future MDM success.
• How to build the case for a Master Data initiative.
• A proven approach for identifying the Data Subject Areas aligned to Business initiatives to start on your MDM program.
• How to create an incremental MDM implementation plan that wont break the bank.
16. P / 1 6
Data Quality Foundation & Practitioner
Course Description: Part of the Information Management “Foundation” and “Practitioner”
series: A 1 day foundation class or 2 day practitioner class covering the principles, processes and
activities involved in creating a Data Quality function. The 2 day class explores further detail on how
to get started with Data Quality & outlines 7 steps for achieving Data Quality success.
Data Quality Foundation (1 day) & Practitioner (2 day):
• Examples of Data Quality issues and their implications: How could these have been avoided?
• What is Data Quality vs Data Quality Management and why does it matter?
• The DAMA Dimensions of Data Quality, plus alternative views on Data Quality Dimensions.
• The relationship between DQ Dimensions, DQ Measures & Metrics and their applicability.
• The benefits and impact of Data Quality.
• A workable framework for establishing Data Quality in your organization.
• The role and applicability of tools to support a Data Quality initiative.
• A reference architecture model for Data Quality tools, common functions & capabilities, differences, what to look out
for & a framework for selecting DQ tooling.
• Types & applicability of Data Quality Reporting
• The relationship between Data Quality and Data Governance & the other Information disciplines
• Data Quality metrics & their relationship with Data Governance.
• Starting and sustaining a Data Quality initiative: 7 steps for achieving Data Quality success, the activities & structures
required, & foundation activities
• The typical roles, responsibilities, organization structures and principles for successful Data Quality.
• Now its started; how do you sustain Data Quality. Baking DQ into Business As Usual activities and making it real
17. P / 1 7
Data Warehousing & Business Intelligence Foundation &
Practitioner
Course Description: Part of the Information Management “Foundation” and “Practitioner”
series: A 1 day foundation class or 2 day practitioner class covering the architectures, technologies,
applicability and activities surrounding Data Warehousing & Business Intelligence (DW&BI). The 2 day
class explores further detail on Dimensional Data Modelling together with different Data Visualization
and DW&BI architectural approaches.
Data Warehousing & Business Intelligence Foundation (1 day)
& Practitioner (2 day):
• A reference model for Data Warehousing and Business Intelligence.
• Understand the differences between Business Intelligence, and Data Warehousing, both the
disciplines and the software environments.
• Explore the benefits and application of Business Intelligence
• Understand the architectures and key components of Business Intelligence and Data Warehousing
• Discover the differences between architecture styles including the Kimball & Inmon approaches.
• Learn how to create and apply a Dimensional Data model
• Determine how to assess your current DW&BI readiness using a Business Intelligence maturity model
• Explore different Data Visualization approaches.
• Gain an outline understanding of the different Data Integration approaches available for DW & BI initiatives.
• Understand the different reporting & analytics styles and the data and process implications.
• Understand the role and suitability of different technology approaches in addressing DW&BI need.
18. P / 1 8
Data Integration Foundation & Practitioner
Course Description: New for DMBoK 2.0: Part of the Information Management “Foundation” and
“Practitioner” series: A 1 day foundation class or 2 day practitioner class covering the considerations for Data
Integration, the different architectures available and their applicability. Discuss the technologies, and
activities involved in Data Integration and migration. The 2 day class also explores use cases of the differing
Data Integration architectures.
Data Integration Foundation (1 day) & Practitioner (2 day):
• What are the business (and technology) issues that Data Integration is seeking to address.
• The different styles of Data Integration, their applicability and implications.
• Understand the role and applicability of a canonical model in Data Integration.
• Discuss different use cases of the various Data Integration architectures and approaches.
• Understand the issues and implications of using different Data Integration approaches including:
• Point to Point,
• Extract Transform & Load,
• Change Data Capture,
• Services Oriented Architecture,
• Data federation & Virtualisation.
• Understand the relationship of Data Integration with the other Information Management disciplines in DMBoK 2.0.
Note: Data Integration is a new “Knowledge Area” introduced for DMBoK 2.0
• Outline a process for undertaking Data Integration initiatives and the typical artefacts required.
19. P / 1 9
Executive Workshops
Course Description: ½ day and 1 day Executive workshop(s) designed to give non-technical
managers a basic understanding of a various Information Management topics and their importance
to the organization. The workshops introduce the Information Management topic, its drivers, benefits
and actions organizations should take to ensure Information is managed as a key asset.
Workshop Content:
Often, technical practitioners express frustration in not being able to convince non-technical management of the importance of
information management. Likewise, executives do not need to be encumbered with distracting technical jargon.
These workshops are designed to present core Information Management fundamentals to non-technical stakeholders in an
easy-to-understand, practical manner. Case studies and real-world examples are used to provide context and rationale for the
need for Information Management. Topics include:
• Information Management: What is it & why is it important
• The core disciplines of Information management including:
• Data Modelling & why Conceptual Data Models are an essential business tool
• Data Quality Management
• Data Governance, the glue holding all Information Management activities together
• Big Data – what it is, and what it isn’t
• Master & Reference Data Management (MDM)
• Case studies illustrating what works & what to avoid
20. P / 2 0
CDMP Certification – Exam Cram
Course Objectives: G a i n f a m i l i a r i t y w i t h
t h e C D M P e x a m i n a t i o n f o r m a t , t y p e s o f
q u e s t i o n s a n d t h e m o s t a p p r o p r i a t e w a y
o f a n s w e r i n g t h e m . U n d e r s t a n d a n d
r e v i s e t h e m a j o r s y l l a b u s p o i n t s .
P r a c t i c e t a k i n g t h e e x a m i n a t i o n s t o
p a s s t h e C D M P e x a m i n a t i o n s a n d g a i n
r e c o g n i t i o n f o r y o u r p r o f e s s i o n a l
e x p e r i e n c e .
Pre requisites:
There are 4 levels of accomplishment for the CDMP certification,
Associate, Practitioner and Master, and Fellow.
Associate Certificate pre requisites:
• 2 years relevant Data Professional work experience
• Pass rate for all 1 exam (DMCORE) is 60%
Practitioner Certificate pre requisites:
• 3-5 years relevant Data Professional work experience
• Pass rate for all 3 exams 70%
Mastery Certificate pre requisites:
• 10+ years relevant Data Professional work experience
• Pass rate for all 3 exams at 80% or better
Course Content:
• Workshop examination preparation for each of the 3
examinations
• Data Management Core Exam
• 2 elective exams of the participants choosing based on one
of the following:
• Data Warehousing
• Business Intelligence & Analytics
• Data & Information Quality
• Data Governance and Stewardship
• Data Modelling
• Data Operations
• Zachman Enterprise Architecture Framework * TBD
• Pay exam fees only if you pass
• An optional (at no additional cost) examination to improve
scores on one exam (e.g. to attain “Mastery”) or resit a
failed exam.
Course Approach:
• Delivered over 3 days in an interactive workshop
• 3 live exams taken during the course – Students can leave this course
with a professional certification
• Pay exam fees only if you pass offer
• Optional 4th exam (at no additional cost) to improve score / resit
failed examination.
C o u r s e D e s c r i p t i o n : A 3 d a y
e x a m i n a t i o n p r e p a r a t i o n c o u r s e a n d
t a k i n g o f e x a m i n a t i o n s f o r s t u d e n t s
w h o w i s h t o a t t a i n t h e C e r t i f i e d D a t a
M a n a g e m e n t P r o f e s s i o n a l
q u a l i f i c a t i o n .
21. P / 2 1
Integrated Business Process, Data & Requirements Definition
Course Description: A 5 day intensive class to show students an integrated requirements discovery and
definition approach covering business process, different types of requirements modelling, and the critical
role of the conceptual data model.
Understanding Business processes is critical as it’s the business
processes where value is delivered. Appreciating how to work
with business processes is now a core skill for business analysts,
process and application architects, functional area managers,
and even corporate executives. Additionally, Information
Architects need to understand Business Processes since
information is acted on by the processes. But too often,
teaching on the topic either floats around in generalities and
familiar case studies, or descends rapidly into technical details
and incomprehensible models. This workshop shows in a
practical way how to discover and scope a business process,
clarify its context, model its workflow with progressive detail, and
assess it, and transition to the design of a new process by
determining, verifying, and documenting its essential
characteristics.
Requirements Definition: Use cases have offered great
promise as a requirements definition technique, but many
analysts get disappointing results. That’s because published
methods are often inconsistent, complex, or focused on internal
design. The requirements definition component of the workshop
clears up the confusion. It shows how to employ use cases to
discover external requirements – how users wish to interact with
an application – and how to use service specifications to define
internal requirements – the validation, rules, and data
manipulation performed behind the scenes. Better yet, it shows
in concrete terms how the two perspectives interact, and
demonstrates synergies with data modeling and business
process workflow modeling.
Conceptual Data Modelling: Information is at the heart of all architecture disciplines and Data modeling is critical to the design not
simply of quality databases, but is also essential to other requirements techniques. These include workflow modeling and requirements
modeling (use cases and services). This is because Data Modelling ensures a common understanding of the things – the entities – that
processes and applications deal with. This component of the workshop introduces entity-relationship modeling from a non-technical
perspective, provides tips and guidelines for the analyst, and explores contextual, conceptual, and detailed modeling techniques that
maximize user involvement.
22. P A G E 2 2D A T A M A N A G E M E N T A D V I S O R S
Contents
• What is CDMP?
• Why do I need it?
• How can I get CDMP?
• How many exams for CDMP?
• Which Specialty Exam?
• Experience/Education
Requirements
• Costs
• Exam Preparation
23. P A G E 2 3D A T A M A N A G E M E N T A D V I S O R S
What is CDMP?
• CDMP stands for “Certified Data Management
Professional”
• It is the only International, non-proprietary,
widely recognized data management
certification.
• The certification program was jointly
constructed by DAMA International (DAMA)
and the Institute for Certification of Computer
Professionals (ICCP).
• DAMA owns the CDMP certification, and ICCP
administers and delivers exams, provides all
record keeping
24. P A G E 2 4D A T A M A N A G E M E N T A D V I S O R S
Why do I need it?
“Certification, in itself, is not a goal, but Professionalism is”
Credential
Company Requirement
Professional Growth
Self Evaluation
Financial Reward
Other
Increase in Salary
Credibility within Organisation
Credibility with Customers
Greater Self Esteem
Solve Problems Quicker
Source: ICCP Research Study
(Athabasca University)
Why People Certify
Primary Achievement Resulting
from Certification
25. P A G E 2 5D A T A M A N A G E M E N T A D V I S O R S
How can I get CDMP?
• Fill out application
• Pass the Information Systems Core Exam
• Pass the Data Management Core Exam
• Pass one Specialty Exam, from:
• Data Development
• Data Warehousing
• Business Intelligence & Analytics
• Data Governance & Stewardship
• Data Operations & Security
• Data & Information Quality
• Zachman Enterprise Architecture Framework
• Integrated IT Project Management
• Meet the Experience & Education qualifications
• Sign the ICCP Code of Ethics
26. P A G E 2 6D A T A M A N A G E M E N T A D V I S O R S
How many Exams for CDMP?
• Three examinations:
• Information Systems Core
• Data Management Core
• Plus one other “specialty” exam
• Each exam: 90 minutes, 110 multiple choice questions each
• Pass all 3 exams at 70% or better for Mastery Level
• 50%-69% for Practitioner Level
27. P A G E 2 7D A T A M A N A G E M E N T A D V I S O R S
DATA
ARCHITECTURE
MANAGEMENT
DATA
DEVELOPMENT
DATABASE
OPERATIONS
MANAGEMENT
DATA SECURITY
MANAGEMENT
REFERENCE &
MASTER DATA
MANAGEMENT
DATA QUALITY
MANAGEMENT
META DATA
MANAGEMENT
DOCUMENT & CONTENT
MANAGEMENT
DATA
WAREHOUSE
& BUSINESS
INTELLIGENCE
MANAGEMENT
DATA
GOVERNANCE
› Enterprise Data Modelling
› Value Chain Analysis
› Related Data Architecture
› External Codes
› Internal Codes
› Customer Data
› Product Data
› Dimension Management
› Acquisition
› Recovery
› Tuning
› Retention
› Purging
› Standards
› Classifications
› Administration
› Authentication
› Auditing
› Analysis
› Data modelling
› Database Design
› Implementation
› Strategy
› Organisation & Roles
› Policies & Standards
› Issues
› Valuation
› Architecture
› Implementation
› Training & Support
› Monitoring & Tuning
› Acquisition & Storage
› Backup & Recovery
› Content Management
› Retrieval
› Retention
› Architecture
› Integration
› Control
› Delivery
› Specification
› Analysis
› Measurement
› Improvement
Which Specialty Exam?
The 10 DMBoK Functions
(disciplines) of
Data Management
28. P A G E 2 8D A T A M A N A G E M E N T A D V I S O R S
Which Specialty Exam?
29. P A G E 2 9D A T A M A N A G E M E N T A D V I S O R S
30. P A G E 3 0D A T A M A N A G E M E N T A D V I S O R S
31. P A G E 3 1D A T A M A N A G E M E N T A D V I S O R S
The Information Lifecycle
Information Lifecycle (DAMA)
› IM strategy
› Governance
› Define
policies and
procedures
for quality,
retention,
security etc
› Architecture
› Conceptual,
logical and
physical
modelling
› Install or
provision
servers,
networks,
storage,
DBMSs
› Access
controls
› Data created,
acquired
(external),
extracted,
imported,
migrated,
organised
› Data
validated,
edited,
cleansed,
converted,
reviewed,
reported,
analysed
› Data
archived,
retained and
retrieved
› Data deleted
PURGEPLAN SPECIFY ENABLE
CREATE &
ACQUIRE
MAINTAIN
& USE
ARCHIVE
&
RETRIEVE
(SOURCE DAMA)
32. P A G E 3 2D A T A M A N A G E M E N T A D V I S O R S
33. P A G E 3 3D A T A M A N A G E M E N T A D V I S O R S
34. P A G E 3 4D A T A M A N A G E M E N T A D V I S O R S
35. P A G E 3 5D A T A M A N A G E M E N T A D V I S O R S
36. P A G E 3 6D A T A M A N A G E M E N T A D V I S O R S
37. P A G E 3 7D A T A M A N A G E M E N T A D V I S O R S
38. P A G E 3 8D A T A M A N A G E M E N T A D V I S O R S
39. P A G E 3 9D A T A M A N A G E M E N T A D V I S O R S
40. P A G E 4 0D A T A M A N A G E M E N T A D V I S O R S
Other Requirements
Experience & Education
• 48 months experience
(CDMP Mastery level)
• 24 months experience
(CDMP Practitioner level)
• Substitute up to 24 months of the experience requirement
with appropriate undergraduate or graduate degree
• Three-year recertification cycle (CPD requirements)
41. P A G E 4 1D A T A M A N A G E M E N T A D V I S O R S
Information Management Fundamentals
C o u r s e O b j e c t i v e s : To g i v e
p a r t i c i p a n t s a s o l i d g r o u n d i n g i n a l l
o f t h e c o r e I n f o r m a t i o n M a n a g e m e n t
c o n c e p t s . A d d i t i o n a l l y i t p r o v i d e s a
f o u n d a t i o n f o r s t u d e n t s c o n s i d e r i n g
D A M A C D M P p r o f e s s i o n a l c e r t i f i c a t i o n
C o u r s e D e s c r i p t i o n : A 5 d a y c o u r s e
c o v e r i n g a l l t h e d i s c i p l i n e s o f
I n f o r m a t i o n M a n a g e m e n t a s d e f i n e d
i n t h e D A M A b o d y o f k n o w l e d g e
( D M B o K ) . T a u g h t b y D A M A
D M B o K ( 2 . 0 ) a u t h o r & C D M P ( M a s t e r )
t h i s p r o v i d e s a s o l i d f o u n d a t i o n
a c r o s s t h e c o m p l e t e I n f o r m a t i o n
M a n a g e m e n t s p e c t r u m .
Course Content:
Introduction to the DMBoK: What is the DMBoK, its intended purpose and audience of the DMBoK. Changes due in DMBoK 2.0, relationship
of the DMBoK with other frameworks (TOGAF / COBIT etc.). DAMA CDMP professional certification overview & CDMP exam coverage by DMBoK section.
Data Governance: Why Data Governance is at the heart of successful IM. A typical DG reference model. DG roles & responsibilities, the role of the DGO & its relationship
with the PMO. How to get started with Data Governance.
Data Quality Management: The Dimensions of Data Quality, policies, procedures, metrics, technology and resources for ensuring Data Quality is measured and ultimately
continually improved. DQ reference model. Capabilities & functionality of tools to support Data Quality management.
Master & Reference Data Management: Differences between Reference & Master Data. Identification and management of Master Data across the enterprise. 4 generic
MDM architectures & their suitability in different cases. MDM maturity assessment to consider business procedures for MDM and the provision and appropriateness of MDM
solutions per major data subject area. How to incrementally implement MDM to align with business priorities.
Data Warehousing & BI Management: Provision of Business Intelligence (BI) to the enterprise and the manner in which data consumed by BI solutions and the resulting
reports are managed. Particularly important if the data is replicated into a Data Warehouse. Types of BI, DW and Analytics.
Data Modelling & Metadata Management: Provision of metadata repositories and the means of providing business user access and glossaries from these. The
development, use and exploitation of data models, ranging from Enterprise, through Conceptual to Logical, Physical and Dimensional. Maturity assessment to consider the
way in which models are utilized in the enterprise and their integration in the Software Development Life Cycle (SDLC).
Data Architecture Management: Approaches, plans, considerations and guidelines for provision of Data Integration and access. Consideration of P2P, ETL, CDC, Hub &
Spoke, Service-orientated Architecture (SOA), Data Virtualization and assessment of their suitability for the particular use cases.
Data Lifecycle Management: Proactive planning for the management of Data across its entire lifecycle from inception through, acquisition, provisioning, exploitation
eventually to destruction. This IM discipline and its maturity assessment determine how well this is planned for and accomplished.
Data Security & Privacy: Identification of threats and the adoption of defences to prevent unauthorized access, use or loss of data and particularly abuse of personal data.
Exploration of threat categories, defence mechanisms & approaches, and implications of security & privacy breaches.
Regulatory Compliance: The polices and assurance processes that the enterprise is required to meet. Adapting to the changing legal and regulatory requirements related
to information and data. Assessing the approach to regulatory compliance & understanding the sanctions of non-compliance.
Data Risk Management: Identification of risks (not just security) to data and its use, together with risk mitigation, controls and reporting.
Data Management Tools & Repository: Examination of the categories of tools supporting the IM disciplines. How to select the appropriate toolset. Discussion of an
example policy for use of specific technology to ensure consistency and interoperability across the enterprise.
42. P A G E 4 2D A T A M A N A G E M E N T A D V I S O R S
CDMP Certification – Exam Cram
Course Objectives: G a i n f a m i l i a r i t y w i t h t h e C D M P
e x a m i n a t i o n f o r m a t , t y p e s o f q u e s t i o n s a n d
t h e m o s t a p p r o p r i a t e w a y o f a n s w e r i n g
t h e m . U n d e r s t a n d a n d r e v i s e t h e m a j o r
s y l l a b u s p o i n t s . P r a c t i c e t a k i n g t h e
e x a m i n a t i o n s t o p a s s t h e C D M P e x a m i n a t i o n s
a n d g a i n r e c o g n i t i o n f o r y o u r p r o f e s s i o n a l
e x p e r i e n c e .
Pre requisites:
There are 2 levels of accomplishment for the CDMP certification,
Practitioner and Mastery.
Practitioner Certificate pre requisites:
• 2 years relevant Data Professional work experience
• Pass rate for all 3 exams 50%-69%
Mastery Certificate pre requisites:
• 4+ years relevant Data Professional work experience
• Pass rate for all 3 exams at 70% or better
Course Content:
• Workshop examination preparation for each of the 3
examinations
• IS Core Exam
• Data Management Core Exam
• A third elective exam of the participants choosing based on
one of the following:
• Data Warehousing
• Business Intelligence & Analytics
• Data & Information Quality
• Data Development
• Data Operations
• Zachman Enterprise Architecture Framework
• Integrated IT Project Management
• Data Governance and Stewardship
• Pay exam fees only if you pass
• An optional (at no additional cost) examination to improve
scores on one exam (e.g. to attain “Mastery”) or resit a
failed exam.
Course Approach:
• Delivered over 3 days in an interactive workshop
• 3 live exams taken during the course – Students can leave this
course with a professional certification
• Pay exam fees only if you pass offer
• Optional 4th exam (at no additional cost) to improve score / resit
failed examination.
C o u r s e D e s c r i p t i o n : A 3 d a y
e x a m i n a t i o n p r e p a r a t i o n c o u r s e a n d
t a k i n g o f e x a m i n a t i o n s f o r s t u d e n t s w h o
w i s h t o a t t a i n t h e C e r t i f i e d D a t a
M a n a g e m e n t P r o f e s s i o n a l
q u a l i f i c a t i o n .
43. P A G E 4 3D A T A M A N A G E M E N T A D V I S O R S
After Certification
• Annual membership fee of $75
• Every 3 years 120 credits of mandatory
Continuing Education Units (CEU's) in
Data Management must be performed and
registered with the ICCP in order to keep the CDMP
certification in good standing
44. P A G E 4 4D A T A M A N A G E M E N T A D V I S O R S
Trainer Profile
45. P A G E 4 5D A T A M A N A G E M E N T A D V I S O R S
Christopher Bradley has spent 35 years in the
forefront of the Information Management field,
working for leading organisations in Information
Management Strategy, Data Governance, Data
Quality, Information Assurance, Master Data
Management, Metadata Management, Data
Warehouse and Business Intelligence. Studying
Chemical Engineering at University Mr. Bradley’s
post academic career started for the UK Ministry
of Defence where he worked on several major
Naval Database systems and on the
development of the ICL Data Dictionary System
(DDS). His career included Volvo as lead data
base architect, Thorn EMI as Head of Data
Management, Readers Digest Inc as European
CIO, and Coopers and Lybrand (later PWC)
where he established the International Data
Management specialist practice. During this time
he led many major international assignments
including Data Management Strategies, Data
Warehouse Implementations and establishment
of data governance structures and the largest
Data Management strategy ever undertaken in
Europe. After PWC Chris created and ran a UK
Consultancy practice specializing in Information
Management and led many Information
Management strategy assignments in the
Financial Services, Oil and Gas and Life Sciences
sectors.
Chris works with International clients including
Alinma Bank, American Express, ANZ, Bank of
England, BP, Celgene, GSK, HSBC, Shell, TOTAL,
Statoil, Saudi Aramco, Riyad Bank, and Emirates
NBD. Most recently he has delivered an MDM
review for a Global Pharmaceutical organization,
a comprehensive appraisal of Information
Management practices at an Oil & Gas super
major, an Enterprise Information Management
strategy for a Life Sciences organization, a Data
Governance strategy for a Middle East Bank, and
Information Management training for Retail, Oil
& Gas and Financial services companies.
Chris advises Global organizations on
Information Strategy, Data Governance,
Information Management best practice and how
organisations can genuinely manage Information
as a critical corporate asset. Frequently he is
engaged to evangelise Information Management
and Data Governance to Executive management,
to introduce data governance and new business
processes for Information Management and to
deliver training and mentoring.
Chris is author of sections of DMBoK 2.0, co
author of “Data Modeling for the Business”
together with several white papers and articles.
He is an acknowledged thought leader in
Information Strategy with considerable expertise
in Enterprise Information Management,
Information Strategy development, Data
Governance, Master and Reference Data
Management, Information Assurance,
Information Exploitation, Metadata Management
and Information Quality, and has successfully
introduced information led business
transformation programmes across multiple
geographies.
Christopher Bradley
46. P A G E 4 6D A T A M A N A G E M E N T A D V I S O R S
Delivery Competencies
Capability Junior Consultant
IPL Grade 5
Consultant
IPL Grade 6
Senior Consultant
IPL Grade 7
Principal Consultant
IPL Grade 8
Director / Officer
IPL Grade C/D
Delivering Business
Change
Aligns work with project
business change requirements
acting in a QA role to ensure
business change is delivered.
Engages with client staff on
the project to explain to them
the change a particular
project is introducing.
Works sensitively with client’s
staff who may be reacting to
the changes Business
Consulting are initiating
within their company.
Aligns projects with business
change requirements ensuring
required change is delivered.
Engages with client staff to lead
them comfortably through
change.
Anticipates any negative
reactions in client staff to the
changes IPL are initiating within
their company and proactively
addresses any likely responses.
Proactively devises and manages
significant programmes of change
within a client operation.
Maintains a focus on core objectives
during periods of change.
Uses uncertainty, where appropriate, as
an opportunity to shape change.
Understands, anticipates and eases
personal resistance to change.
Works effectively with
organisations on the design and
implementation of programmes of
large scale change.
Manages client staff in a
supportive and professional way
through difficult periods of change.
Provides personal leadership
for programme and other client
staff in delivering major change.
Delivering Results
and meeting
Customer
Expectations
Able to build and maintain
credibility with the client
throughout and beyond the
assignment.
Makes a sound judgement
and has the confidence to act
on it.
Aware of the required
standard of quality that needs
to be delivered and takes
personal responsibility for
delivering it.
Demonstrates the confidence to
challenge through questioning,
to move the assignment
forward.
Able to build rapport quickly
with the client to ensure they
create the most productive
working relationship.
Identifies when a client is asking
for something greater than their
brief and asks for support/advice
to ensure the client’s
expectations are exceeded.
Facilitates the client to identify their
perception of the situation through
adopting an effective questioning
technique and correctly interprets and
addresses the true situation while
acknowledging the clients
perception of it.
Provides insightful solutions based on
logical factual data.
Challenges both the client and the
project team to ensure best possible
solutions are implemented.
Has the confidence to assertively
deliver bad news to clients in an
objective manner
Demonstrates a commercial
awareness that enables them to
step outside of their role to make
logical and informed decisions.
Identifies potential risks and
minimises their effect for the client
and the project team.
Applies good judgement when
making decisions that affect the
assignment.
Manages post project reviews
Demonstrates a commercial
awareness that enables Team
members to step outside of
their role to make logical and
informed decisions.
Identifies potential risks and
minimises their effect for the
client and the assignment team.
Ensures project review learning
is embedded
Intellectual Rigour Can take a relatively straight
forward business issue and
define the capabilities needed
to address this issue.
Can take a complex business
issue and define the capabilities
needed to address the issue.
Recommends well conceived
courses of action to clients
which address their
requirements exactly.
Helps clients explore the range of
possibilities in a complex situation.
Leads clients through a rigorous
decision making process towards the
capabilities they need to address this
issue.
Uses current approaches such as
SIPOCs & Critical Thinking, Treacy
Wiersema Value Disciplines, CMMI
confidently in new client situations.
Uses existing approaches
confidently in situations that
are new to IPL as well as to the
client.
Is confident with techniques
such as SIPOC’s, Critical
Thinking, Treacy Wiersema
Value Disciplines, CMMI.
Develops new approaches
which add value in solving
client problems.
Leadership & Management Competencies
Capability Junior Consultant
IPL Grade 5
Consultant
IPL Grade 6
Senior Consultant
IPL Grade 7
Principal Consultant
IPL Grade 8
Director / Officer
IPL Grade C/D
Build Key Skills
& Competencies
Identifies gaps in knowledge
capital and assists in the
development of “consulting
core tools” skill set.
Contributes to specific areas of
practice development.
Manages specific areas of
practice development.
Leads and directs a significant area of
Capability Development, such as
Information Management, Enterprise
Architecture, Business process
Management, or Programme
Management.
Leads and directs multiple areas of
Capability Development.
Is acknowledged as expert in one or
more capability areas.
Thought
Leadership
Contributes to specific capability
group areas through research
and knowledge gathering to
help build the latest thinking on
the subject matter.
Supports the Capability Group to
apply the research and
knowledge ensuring that the
latest thinking is mapped across
the capability group expertise.
Supports SC in producing
articles on approaches and
thought leadership within
their own functional area of
expertise (if one exists).
Actively contributes to the development
of thought leadership in a given area on
behalf of IPL.
Supports IPL in producing articles on
approaches and thought leadership.
Leads the development of thought
leadership in a given area on behalf
of IPL
Regularly leads / writes articles on
approaches and thought leadership.
Business
Management
Contributes in the research and
development of information for
PCs and Directors which helps
to better manage the business.
Supports the PCs and Directors
in managing the business
through being involved in
internal work, developing
knowledge objects, etc.
Supports the PCs and Directors
in managing the business
through being involved in
internal work, developing
knowledge
objects, etc.
Support Directors in meeting Business
plan objectives.
Ensure business plan objectives are
met.
Actively monitors their area of the
business for opportunities,
divergence from the plan, areas of
risk etc. and feeds this back into the
business management process.
Recruitment Identifies potential recruits in
the marketplace.
Identifies potential recruits in
the marketplace.
Identifies potential recruits in
the marketplace.
Identifies the type and quantity of
resource required and their profile.
Identifies potential senior recruits in the
market place.
Identifies the type and quantity of
resource required and their profile.
Identifies potential senior recruits in
the market place.
Knowledge
Management
Keeping information up to date. Keeping information up to date. Keeping information up to
date.
Actively contributing
knowledge papers to the IPL
knowledge bank on
approaches, methods, etc.
Keeping information up to date.
Actively contributing knowledge papers
to the IPL knowledge bank on
approaches, methods, etc.
Keeping information up to date.
Actively contributing knowledge
papers to the IPL knowledge bank on
approaches, methods, etc.
Training /
Coaching
Seeks to build relationships with
peers and colleagues for
learning support.
Identifies personal goals, takes
account of business
requirements and then
identifies development
opportunities.
Identifies personal goals, takes
account of business
requirements and then identifies
development opportunities.
Acts as a coach and mentor to
staff.
Identifies personal goals, takes
account of business
requirements and then
identifies development
opportunities.
Manages own personal
development planning.
Acts as a coach and mentor to
staff
Ensures and helps their staff manage
their training and development
requirements.
Ensures staff are developed reflecting
their own personal objectives and the
organisations goals.
Acts as a coach and mentor to staff
being managed.
Ensures and helps their staff manage
their training and development
requirements.
Ensures staff are developed reflecting
their own personal objectives and the
organisations goals.
Acknowledged as highly competent
by staff and acts as a coach and
mentor.
Competencies, Capabilities & Skills
Irrespective of role, staff
should exhibit desired
behaviours & attitudes.
Typically these are observed in
4 core areas.
As staff become more senior,
their capabilities &
competencies in key
disciplines should improve &
mature. Typically these are
recorded in 5 main areas.
Core Competencies
Capability Junior Consultant
Grade 5
Consultant
Grade 6
Senior Consultant
Grade 7
Principal Consultant
Grade 8
Director / Officer
Grade C/D
Insight Builds understanding of technical
matters.
Demonstrates commercial acumen
Lead input in specialist
area.
Highlights integration
issues.
Resourceful investigation
and resolution of technical
matters.
Frontline knowledge
transfer to client
Lead role in solution
development and project
planning.
Expert input in own area.
Crossdiscipline integration.
Deep expertise in core skill area.
Strong capability in related areas,
enabling content leadership of complex
cross-discipline consulting programmes
Expert assurance role, e.g.
subcontractors’ work, overseeing
suppliers’ responsibilities
Externally and Internally recognised
as expert in a service specialisation.
Expert advisor to clients.
Provides significant contributions to
professional eminence (e.g.
publications, public speaking,
standards committees)
Business
Development
Supports bid development and
solution design.
May be responsible for some areas of
bid development
Identifies new
opportunities.
Contributes key content to
project bids and proposed
solution design
Bid/Project Manager.
Evidence of maintaining
client relationships after
project completion.
Using existing relationships
to generate access to new
relationships
Relationships with senior clients and
identified rising Clients Account opening
and development:
initial sale, on-sale, Non-competitive
sale
Pricing and negotiation experience from
large bids.
Senior Client relationship building and
development.
Board-level consulting (strategy,
programme control)
Planning and revenue responsibility
for major accounts or segment
Leadership and
Relationships
Seeks to build relationships with peers
and colleagues for learning support.
Accurate recording of personal
financial information.
Contributes to the development and
delivery of IPL BC activities.
Learning support to peers,
juniors and colleagues.
Accurate collection of team
and personal financial
information.
Management of staff
matters within team.
Professional mentor to more
junior staff.
Revenue management and
collection at project level.
Formal staff responsibilities – career
counselling / appraisal for 3 - 6 staff
Professional Mentor to more junior
staff.
Delegated P&L responsibility at
Account/Segment level?
Service Group leadership
responsibility for engagements of
staff
Business planning & management.
P&L responsibility within Business
Unit
Assignment
Management
Responsible for discrete areas of
project work.
Identifies issues in project delivery
and communicates to team,
identifying solutions where possible.
Organises work documentation in a
methodical and efficient manner.
Leads project work stream
and small teams (mixed
staff)
Small to mid-scale project
management.
Leads joint client/consultant
teams, including sub-
contractors
Leads large projects and/or major
components of multi-stream
programmes.
Senior delivery responsibility in client’s
eyes.
Leads mixed programme teams
including client project managers.
Complex programme and project
delivery.
Accountable directly to senior client
for delivery / quality assurance
Consultancy
Skills
Able to break down simple problems
into parts and analyse.
Applies tools and techniques to
research data, document results and
present findings in a comprehensive
manner.
Builds relationships with clients.
Prepares quality deliverables.
Undertakes accurate and
insightful analysis
Communicates complex
ideas simply at the working
level.
Builds productive working
relationships and working
consensus.
Prepared high quality
deliverables
Leads creative analysis and
solution development
Builds consensus with
project leadership and key
stakeholders
Facilitates effective working
on dayto- day level.
Senior Supplier role at client’s
programme board.
Senior Influencer in client’s programme.
Expert intervention in the analytical
process
Provides Executive-level facilitation
and support.
Senior Client Board participation
Brings strategic perspective from
other clients’ experience and the
marketplace
A person undertakes a role(s).
The roles are part of a role
family such as “Architecture &
Design” or “Software
Engineering & Quality”. Each
role family has many
disciplines each with many
roles. So “Architecture &
Design” has many disciplines
including “Information
Architecture” with many roles
within it.
Each role requires skills at a
particular level of competency
from level 1 (awareness)
through to level 5 (expert).
Thus a roles is a combination
of many skills At levels & the
attainment of these is useful
for staff development &
appointment.
47. P A G E 4 7D A T A M A N A G E M E N T A D V I S O R S
Training, Mentoring, and Executive Workshops
We offer a number of training options for both practioners and management
The following training courses are available:
• Information Management Fundamentals – 5 day introductory course covering all of the components of Information Management as defined in the
DAMA Body of Knowledge (DMBoK) & forthcoming changes in DMBoK 2.0
• Data Modelling fundamentals – 3 day intermediate course introducing students to data modelling, its purpose, the different types of models and how to
construct and read a data model.
• Advanced Data Modeling – 3 day advanced course for students with data modelling experience to understand the human centric aspects of data
modelling to enable them to build quality models that meet business needs.
• IM Fundamentals & Practioner Courses– A series of 1 day (foundation) and 2 day (practitioner) classes to give practitioners a solid background in a specific
Information Management topics. The 2 day practitioner workshops explore more detail on the implementation aspects of the particular Information
Management discipline
• Data Modelling Foundation (1 day only)
• Data Governance Foundation & Practitioner
• Master & Reference Data Foundation & Practitioner
• Data Quality Management Foundation & Practitioner
• Data Warehouse & Business Intelligence Foundation & Practitioner
• Data Integration Foundation & Practitioner
• Executive Workshops – ½ and 1 day executive workshop(s) designed to give non-technical managers a basic understanding of a various Information
Management topics and their importance to the organisation.
• CDMP Certification– 3 day workshop “exam cram” designed to help attendees pass the DAMA CDMP certification. Testing is included as part of the
workshop.
• Integrated Business Process, Data & Requirements Definition– 5 day intensive class to show students an integrated requirements discovery and
definition approach covering business process, different types of requirements modelling, and the critical role of the conceptual data model.
Custom-built, on-site training & awareness seminars can also be delivered.
48. P A G E 4 8D A T A M A N A G E M E N T A D V I S O R S
Multiple Levels of Training for Various Audiences
Information
Management
Foundation
(1 day)
Data Modelling
Foundation
(1 day)
INTRODUCTORY INTERMEDIATE ADVANCED / DEEP DIVE
Advanced Data Modelling
(3 days)
Integrated Business Process, Data Requirements and
Discovery
(5 days)
DAMA-I CDMP
Exam Cram &
Certification
(3 days)
LEVEL
Information
Management For
The Business
(½ and 1 day)
Applied Data Modelling
(3 days)
Information Management Fundamentals
(5 days)
Data Quality Management Implementation &
Practice (1 and 2 day)
Data Warehouse & Business Intelligence
Implementation & Practice (1 and 2 day)
Reference & Master Data Management
Implementation & Practice (1 and 2 day)
Data Governance Implementation & Practice
(1 and 2 day)
Data Integration Implementation & Practice
(1 and 2 day)
The “client Way” Information Management Mentoring