The document proposes a Digital Transformation Maturity Model (DTMM) to help companies evaluate the status of their digital transformation initiatives. The model is based on two dimensions: 1) maturity levels adapted from the CMM model, ranging from initial to innovating, and 2) organizational levers like strategy, technology, people that impact digital transformation. The document outlines the maturity levels and levers, and provides an initial mapping of how the levers map to the levels to create the DTMM. Next steps are identified to further develop the model into a quantitative assessment tool.
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.
Key Elements of a Successful Data Governance ProgramDATAVERSITY
At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics. This webinar will focus on four key DG elements:
- Keeping DG practically focused
- DG must exist at the same level as HR
- Gradually add ingredients (practicing and getting better)
- Data Governance in action: storytelling
Data Integration, Access, Flow, Exchange, Transfer, Load And Extract Architec...Alan McSweeney
These notes describe a generalised data integration architecture framework and set of capabilities.
With many organisations, data integration tends to have evolved over time with many solution-specific tactical approaches implemented. The consequence of this is that there is frequently a mixed, inconsistent data integration topography. Data integrations are often poorly understood, undocumented and difficult to support, maintain and enhance.
Data interoperability and solution interoperability are closely related – you cannot have effective solution interoperability without data interoperability.
Data integration has multiple meanings and multiple ways of being used such as:
- Integration in terms of handling data transfers, exchanges, requests for information using a variety of information movement technologies
- Integration in terms of migrating data from a source to a target system and/or loading data into a target system
- Integration in terms of aggregating data from multiple sources and creating one source, with possibly date and time dimensions added to the integrated data, for reporting and analytics
- Integration in terms of synchronising two data sources or regularly extracting data from one data sources to update a target
- Integration in terms of service orientation and API management to provide access to raw data or the results of processing
There are two aspects to data integration:
1. Operational Integration – allow data to move from one operational system and its data store to another
2. Analytic Integration – move data from operational systems and their data stores into a common structure for analysis
Data-Ed Webinar: Best Practices with the DMMDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
•Our profession is advancing its knowledge and has a wide-spread basis for partnerships
•New industry assessment standard is based on successful CMM/CMMI foundation
•Clear need for data strategy
•A clear and unambiguous call for participation
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!
Analytics plays a critical role in supporting strategic business initiatives. Despite the apparent value of providing the data infrastructure for these initiatives, many executives question the economic feasibility of business intelligence and analytics. This requires information professionals to calculate and present the business value in terms business executives can understand.
Unfortunately, most IT professionals lack the knowledge required to develop comprehensive cost-benefit analyses and return on investment (ROI) measurements.
This session provides a framework to help IT professionals research, measure, and present the economic value of a proposed or existing analytics initiative. The session will provide practical advice about how to calculate ROI, the formulas in use, and how to collect necessary information.
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
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.
Key Elements of a Successful Data Governance ProgramDATAVERSITY
At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics. This webinar will focus on four key DG elements:
- Keeping DG practically focused
- DG must exist at the same level as HR
- Gradually add ingredients (practicing and getting better)
- Data Governance in action: storytelling
Data Integration, Access, Flow, Exchange, Transfer, Load And Extract Architec...Alan McSweeney
These notes describe a generalised data integration architecture framework and set of capabilities.
With many organisations, data integration tends to have evolved over time with many solution-specific tactical approaches implemented. The consequence of this is that there is frequently a mixed, inconsistent data integration topography. Data integrations are often poorly understood, undocumented and difficult to support, maintain and enhance.
Data interoperability and solution interoperability are closely related – you cannot have effective solution interoperability without data interoperability.
Data integration has multiple meanings and multiple ways of being used such as:
- Integration in terms of handling data transfers, exchanges, requests for information using a variety of information movement technologies
- Integration in terms of migrating data from a source to a target system and/or loading data into a target system
- Integration in terms of aggregating data from multiple sources and creating one source, with possibly date and time dimensions added to the integrated data, for reporting and analytics
- Integration in terms of synchronising two data sources or regularly extracting data from one data sources to update a target
- Integration in terms of service orientation and API management to provide access to raw data or the results of processing
There are two aspects to data integration:
1. Operational Integration – allow data to move from one operational system and its data store to another
2. Analytic Integration – move data from operational systems and their data stores into a common structure for analysis
Data-Ed Webinar: Best Practices with the DMMDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
•Our profession is advancing its knowledge and has a wide-spread basis for partnerships
•New industry assessment standard is based on successful CMM/CMMI foundation
•Clear need for data strategy
•A clear and unambiguous call for participation
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!
Analytics plays a critical role in supporting strategic business initiatives. Despite the apparent value of providing the data infrastructure for these initiatives, many executives question the economic feasibility of business intelligence and analytics. This requires information professionals to calculate and present the business value in terms business executives can understand.
Unfortunately, most IT professionals lack the knowledge required to develop comprehensive cost-benefit analyses and return on investment (ROI) measurements.
This session provides a framework to help IT professionals research, measure, and present the economic value of a proposed or existing analytics initiative. The session will provide practical advice about how to calculate ROI, the formulas in use, and how to collect necessary information.
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
Lufthansa Reference Architecture for the OpenGroupCapgemini
The presentation describes the aviation reference architecture framework including the meta model and a domain overview.
Author of paper and presentation:
Kai Schröder, Carsten Brockmann and Eldar Sultanow from
Capgemini Germany and
Carsten Breithaupt and Christian Vollmer from Lufthansa
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.
RWDG Slides: Data Governance Roles and ResponsibilitiesDATAVERSITY
Roles and responsibilities are the backbone to a successful Data Governance program. The way you define and utilize the roles will be the biggest factor of program success. From data stewards to the steering committee and everyone in between, people will need to understand the role they play, why they are in the role, and how the role fits in with their existing job.
Join Bob Seiner for this RWDG webinar, where he will provide a complete and detailed set of Data Governance roles and responsibilities. Bob will share an operating model of roles and responsibilities that can be customized to address the specific needs of your organization.
In this webinar, Bob will discuss:
• Executive, strategic, tactical, operational, and support-level roles
• How to customize an operating model to fit your organization
• Detailed responsibilities for each level
• Defining who participates at each level
• Using working teams to implement tactical solutions
This practical presentation will cover the most important and impactful artifacts and deliverables needed to implement and sustain governance. Rather than speak hypothetically about what output is needed from governance, it covers and reviews artifact templates to help you re-create them in your organization.
Topics covered:
- Which artifacts are most important to get started
- Important artifacts for more mature programs
- How to ensure the artifacts are used and implemented, not just written
- How to integrate governance artifacts into operational processes
- Who should be involved in creating the deliverables
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Find more Data-Ed webinars here: www.datablueprint.com
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges can often trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from reoccurring.
Learning objectives:
-Help you understand foundational Data Quality concepts for improving Data Quality at your organization
-Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
-Share case studies illustrating the hallmarks and benefits of Data Quality success
Data Democratization for Faster Decision-making and Business Agility (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3ogsO7F
Presented at 3rd Chief Digital Officer Asia Summit
The idea behind Data democratization is to enable every type of user in a company to have access to data and to ensure that there is no dependency on any single party that might create a bottleneck to data access. But this is easier said than done especially given the complex data management landscape that most organizations have today. Data virtualization is a modern data integration technique that not only delivers data in real time without replication but also simplifies data discovery, data exploration and navigating between related data sets.
In this on-demand session, you will understand how data virtualization enables enterprises to:
- Reduce up to 80% the time required to deliver data to the business adapted to the needs of each user
- Apply consistent security and governance policies across the self-service data delivery process
- Seamlessly implement the concept of 'Data Marketplace'
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
It is well known that an effective PMO is key to successful and efficient program and project execution. In other words, doing things “right”. Enterprise Architecture is the discipline that plans and monitors enterprise transformation and aligns the business strategy with information technology capabilities. In other words, doing the “right things” to support the business.
Why is it organizations despite having both of these disciplines still struggle with effective enterprise transformation? What can we done to use these disciplines more effectively to effect better business outcomes? What are the roles of each discipline and how do they work together to create business value?
In this presentation, Riaz will address these questions and will provide real life examples that can help build a strong relationship between the PMO and Enterprise Architecture.
Learning Objectives:
• How to build a strong relationship between the PMO and Enterprise Architecture (EA) to deliver positive outcomes for your organization
• Identify the different roles and functions of the PMO and EA as well as their similarities
How to develop and govern a Technology Strategy in 10 weeksLeo Barella
This presentation covers the organizational layout, EA Services and EA Governance processes necessary to develop and govern a technology strategy effectively.
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.
What is the Value of Mature Enterprise Architecture TOGAFxavblai
Judith Jones received the Open Group award for Outstanding Contributions to the development of TOGAF 9 at 19th Open Group Enterprise Architecture Practitioners Conference Chicago - July 21-23, 2008. Former CEO of Architecting the Enterprise which has been a member of The Open Group for 6 years, she is personnally involved since 1997. As an active member of The Open Group and she is a major contributor and an editor of TOGAF 7, 8 and 9 as well as leading TOGAF projects for localisation, case studies, ADML, synergy and collaboration projects.
http://www.opengroup.org/member/member-spotlight-jones.htm
Capital markets: The impact of business process operations improvementsGenpact Ltd
While Lean Six Sigma techniques reliably contribute to operational excellence, they do not necessarily identify the full impact of business process improvement programs. Specifically for Six Sigma, there has been reason for much criticism in the past. This article uses a real-life case related to the enhancement of a Capital Markets global business service delivery operation, and describes how to engage “client” and “delivery” executives in order to tightly align technical project execution with business strategy.
Lufthansa Reference Architecture for the OpenGroupCapgemini
The presentation describes the aviation reference architecture framework including the meta model and a domain overview.
Author of paper and presentation:
Kai Schröder, Carsten Brockmann and Eldar Sultanow from
Capgemini Germany and
Carsten Breithaupt and Christian Vollmer from Lufthansa
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.
RWDG Slides: Data Governance Roles and ResponsibilitiesDATAVERSITY
Roles and responsibilities are the backbone to a successful Data Governance program. The way you define and utilize the roles will be the biggest factor of program success. From data stewards to the steering committee and everyone in between, people will need to understand the role they play, why they are in the role, and how the role fits in with their existing job.
Join Bob Seiner for this RWDG webinar, where he will provide a complete and detailed set of Data Governance roles and responsibilities. Bob will share an operating model of roles and responsibilities that can be customized to address the specific needs of your organization.
In this webinar, Bob will discuss:
• Executive, strategic, tactical, operational, and support-level roles
• How to customize an operating model to fit your organization
• Detailed responsibilities for each level
• Defining who participates at each level
• Using working teams to implement tactical solutions
This practical presentation will cover the most important and impactful artifacts and deliverables needed to implement and sustain governance. Rather than speak hypothetically about what output is needed from governance, it covers and reviews artifact templates to help you re-create them in your organization.
Topics covered:
- Which artifacts are most important to get started
- Important artifacts for more mature programs
- How to ensure the artifacts are used and implemented, not just written
- How to integrate governance artifacts into operational processes
- Who should be involved in creating the deliverables
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Find more Data-Ed webinars here: www.datablueprint.com
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges can often trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from reoccurring.
Learning objectives:
-Help you understand foundational Data Quality concepts for improving Data Quality at your organization
-Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
-Share case studies illustrating the hallmarks and benefits of Data Quality success
Data Democratization for Faster Decision-making and Business Agility (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3ogsO7F
Presented at 3rd Chief Digital Officer Asia Summit
The idea behind Data democratization is to enable every type of user in a company to have access to data and to ensure that there is no dependency on any single party that might create a bottleneck to data access. But this is easier said than done especially given the complex data management landscape that most organizations have today. Data virtualization is a modern data integration technique that not only delivers data in real time without replication but also simplifies data discovery, data exploration and navigating between related data sets.
In this on-demand session, you will understand how data virtualization enables enterprises to:
- Reduce up to 80% the time required to deliver data to the business adapted to the needs of each user
- Apply consistent security and governance policies across the self-service data delivery process
- Seamlessly implement the concept of 'Data Marketplace'
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
It is well known that an effective PMO is key to successful and efficient program and project execution. In other words, doing things “right”. Enterprise Architecture is the discipline that plans and monitors enterprise transformation and aligns the business strategy with information technology capabilities. In other words, doing the “right things” to support the business.
Why is it organizations despite having both of these disciplines still struggle with effective enterprise transformation? What can we done to use these disciplines more effectively to effect better business outcomes? What are the roles of each discipline and how do they work together to create business value?
In this presentation, Riaz will address these questions and will provide real life examples that can help build a strong relationship between the PMO and Enterprise Architecture.
Learning Objectives:
• How to build a strong relationship between the PMO and Enterprise Architecture (EA) to deliver positive outcomes for your organization
• Identify the different roles and functions of the PMO and EA as well as their similarities
How to develop and govern a Technology Strategy in 10 weeksLeo Barella
This presentation covers the organizational layout, EA Services and EA Governance processes necessary to develop and govern a technology strategy effectively.
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.
What is the Value of Mature Enterprise Architecture TOGAFxavblai
Judith Jones received the Open Group award for Outstanding Contributions to the development of TOGAF 9 at 19th Open Group Enterprise Architecture Practitioners Conference Chicago - July 21-23, 2008. Former CEO of Architecting the Enterprise which has been a member of The Open Group for 6 years, she is personnally involved since 1997. As an active member of The Open Group and she is a major contributor and an editor of TOGAF 7, 8 and 9 as well as leading TOGAF projects for localisation, case studies, ADML, synergy and collaboration projects.
http://www.opengroup.org/member/member-spotlight-jones.htm
Capital markets: The impact of business process operations improvementsGenpact Ltd
While Lean Six Sigma techniques reliably contribute to operational excellence, they do not necessarily identify the full impact of business process improvement programs. Specifically for Six Sigma, there has been reason for much criticism in the past. This article uses a real-life case related to the enhancement of a Capital Markets global business service delivery operation, and describes how to engage “client” and “delivery” executives in order to tightly align technical project execution with business strategy.
Digital Transformation as a Service!
EA-Driven Enterprise Digital Transformation with BLUEPRINT framework
This presentation introduces the BLUEPRINT Framework, a practical and pragmatic, proven and tested framework and methodology to plan, manage, and execute Digital Transformation at organnizations.
Business & Software Factories (BSF), the future of corporate ITinfosistema
The Portfolio Management and the need to introduce technological innovation along with the need to keep up and running all the legacy systems, represents today a huge challenge for IT departments and information systems in all organizations. The diversity of manufacturers, platforms, technologies and skills to maintain them is another huge challenge for CIOs in organizations, which have increasingly reduced budgets, thus forcing a cut in structural or strategic investments and to seek other solutions that will enhance the processes performance in organizations (Forrester, 2014; Pereira, 2014).
How to Get Started with Digital Transformationbasilmph
Digital transformation has become a critical necessity in today's business landscape. A McKinsey study underpins that to remain competitive, businesses must adapt and innovate. It not only enhances operational efficiency but also brings about improved customer experience. Digital transformation strategy can open up new revenue streams, improve staff productivity, and enable quick decision-making.
THE POWER OF DIGITAL TECHNOLOGIES AND POSITIVE TRANSFORMATION ON BUSINESSES.pdfPaul Mbua
The training focused on The Power of Digital Technologies and the positive transformation they can have on their businesses.
Objectives Included:
•Clear Understanding of digital transformation
• Assessing your level of digital transformation
• Things to Consider in your digital transformation journey
• Digital transformation framework and strategy
• Effective use of tools and their Application
Operating Model Design in a Digital WorldRobert Cade
Operating Models have defined the way that we work and operate for centuries. A good set of architectural blueprints are essential to successfully build a new office. The same is true if you want to build a successful business; you need a good set of blueprints on which to lay the foundations and undertake the detailed design and implementation. In other words you need an Operating Model.
Like modern office designs, businesses are responding to digital stimuli and the changing needs of their customers. Digital is taking the world by storm, transforming everything in its path. Those who transform reap the benefits; those that don’t get left behind. So, just as the blueprints for offices have changed in the digital age, the blueprints for businesses – their Operating Models – also need to evolve.
Ten strategic advantages provided by an architecture approach. Including a capability based approach to governance and change, and operating optimally.
4Ps of Digital Transformation (Platform, People, Project, Process), by Jasbir...Jasbir Sandhu
Digital Transformation strategy is driven by PEOPLE responsible for implementing successful PROJECTs to optimize and streamline PROCESS. The core foundation of Digital Transformation is the choice of PLATFORM, a Platform that can fit within the existing IT infrastructure or that can integrate with the greater IT ecosystem... by, Jasbir Sandhu
Digital Transformation Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Digital Transformation Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 3,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation Toolkit. It includes all the Frameworks, Tools & Templates required to successfully undertake the Digital Transformation of your organization.This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
Similar to Defining a digital transformation maturity model (20)
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
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Defining a digital transformation maturity model
1. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
1
PROPOSAL PAPER:
A DIGITAL TRANSFORMATION
MATURITY MODEL FOR BUSINESSES
Shekar K. Rao
12 July, 2017
2. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
2
EXECUTIVE SUMMARY
Digital transformation is shifting consumer habits and challenging traditional
business models. Driven by the growing number of platforms, devices, and
payment factors, product and service oriented companies need to develop
and execute a forward looking strategy that transforms their digital offerings to
remain relevant across the customer lifecycle.
Based upon the needs of a rapidly changing global economy, and increased
competition within an ever-increasing confined space, a number of companies
have earnestly begun the difficult journey to overhaul themselves and ensure
that they stay relevant, and their businesses remain profitable in the digital
world.
However, many struggle to either plan out the transformation well, or are left
clueless about the current status of their journey. In both cases, effort and
cost get expended, which can turn out to be a terrible nightmare for CxO level
executives. The major pain point turns out to be establishing a waypoint in a
quantitative fashion; a milestone or a flag-post that shows where the
organization is, and where it should go next.
This is where a Digital Transformation Maturity Model (DTMM) can be of
immense help.
It builds upon modified versions of traditional, successful maturity
models like the CMM or the CMMI to identify clear stages and
symptoms of the various phases of a Digital Transformation journey,
and forms one of the two main dimensions of the model.
The second dimension of the DTMM comes from traditional impact
areas for a business such as Strategy, Leadership, Processes, Data,
People and Technology. Most, or all, of these areas are referred to in
popular business excellence models like the MBNQA or EFQM
Frameworks in one way or the other. Hence they can be tailored and
used as per the nature of the business.
This paper is an effort in developing such a DTMM using these two
dimensions, and can be considered as a first step in the definition and
development of a more quantifiable and user-friendly methodology to evaluate
the status of a Digital Transformation initiative.
3. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
3
TABLE OF CONTENTS
EXECUTIVE SUMMARY.....................................................2
TABLE OF CONTENTS.......................................................3
INTRODUCTION.................................................................4
BACKGROUND...................................................................5
PROPOSED DIGITAL MATURITY MODEL.........................7
NEXT STEPS......................................................................8
CONCLUSION ....................................................................8
ADDITIONAL RESOURCES AND READING ......................9
4. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
4
INTRODUCTION
Digital Transformation(DT) has become the preferred solution of expansion for a
number of businesses in the 21st
century. An increasing number of organizations
are being forced to undertake DT as a means of staying relevant, or because
competition is forcing them to do so, or quite simply based upon the fact that their
customers have become more commercially and technologically savvy in an era
of multiple product and service providers. It seems to be assumed to a large
extent that if technology is thrown at a business solution in the forms of new
tools, platforms and services, it will automatically help the business expand and
grow. This has led to a spurt in implementation of DTs across the board, and
many of them are tending to lean towards a display of technological prowess to
showcase progress of achieving business goals and performance.
At this point, it is imperative to understand that achievement of business
excellence through DT needs a number of other factors, or levers, to be
successfully applied as a consistent organizational change program.
Organizations are currently finding it difficult to use an objective evaluation
mechanism to find out these additional levers that are influencing or impeding
their DT journeys, or are choosing to forego identification and implementation of
such levers on the assumption that technology will override everything else. Even
if the levers are somehow determined, using these levers for effective and
objective governance of the DT program is proving to be a hard nut to crack.
There are a number of alternative frameworks and models available in the
industry which can be used to identify these levers, or quantitatively provide an
in-depth analysis of the current status of a DT. Some of them focus exclusively
on attaining a superior level of business excellence (MBNQA & EFQM being
prime examples), while others confine themselves to improving business areas in
silos (ITIL, CMMI, ISO etc.). However, the more effective models tend to use a
staged representation, which is then extrapolated as a quantitative
representation of the status of a DT journey.
This whitepaper proposes a digital maturity evaluation methodology that is based
upon the Maturity Model as defined by the SEI-CMM, and is intended to help in
categorizing the DT effort across a set of 5 predefined levels, in a prescriptive
and aspirational manner. It is intended to help companies take an objective look
at the current state of their DT journey, and/ or provide a defined set of stages
through which they must pass on the journey to achieve digital excellence.
5. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
5
BACKGROUND
Before outlining a solution that utilizes a Maturity Model and a defined set of
Organizational Levers, it would be useful to provide a definition of both these
components. This will help in defining a concrete architecture to the proposed
Digital Maturity solution based upon a clear blending of these two dimensions.
a) Defining the Levels of a Generic Maturity Model
The most common form of a 5-level Maturity Model is as illustrated below.
Level – Name Key Purpose Expected Outcomes
1 – Initial
Motivate people to
overcome problems and just
"get the job done"
Ad hoc processes
Inconsistent outcomes
Rework
2 – Managed
Build disciplined work unit
management to stabilize
work and control
commitments
Repeatable practices
Reduced rework
Satisfied commitments
3 – Standardized
Develop standard
processes, measures, and
training for product and
service offerings
Productivity growth
Effective automation
Economy of scale
4 – Predictable
Manage process and results
quantitatively and exploit
benefits of standardization
Stable processes
Reuse / knowledge
management
Predictable results
5 – Innovating
Implement continuous
proactive improvements to
achieve business goals
Planned innovations
Change management
Capable processes
6. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
6
b) Identifying the Levers affecting Digital Transformation of a Business
Digital Transformation impacts all areas of an enterprise, and the ultimate
success of a DT initiative is defined by the reworking of several key business
functions, processes, and models, with the state of each contributing to the
evolution of digital maturity. Combined, in any size and shape, investments in
any or all of these levers help determining digital transformation in an objective
manner.
Based upon business requirement and popular excellence models, the following
levers can be proposed*:
# Lever Relevance and Coverage
1 Strategy Articulation of vision, governance, planning, and
management processes that will support the
implementation of the digital strategy.
2 Organization Defining and implementing the changes in
communications, culture, structure, training, and
knowledge management within the organization that will
enable it to become a digital player.
3 Customer
Focus
Using the digital transformation of customer journeys to
improve focus on customer participation and
empowerment, and identification of new benefits created
in customer experience
4 Technology Improving the capabilities that enable effective
technology planning, deployment, and integration to
support the digital business, as well as keeping ahead of
the competition.
5 Operations Focusing on the capabilities that support the product/
service provision that lead to higher automation, and
dynamically flexible operations in delivering the
products/services.
6 Partnerships Increased involvement of partners in a digital ecosystem
development, and sustenance of partnerships as a key
element for a digital business.
7 Innovation Improving capabilities that enable more flexible and agile
ways of idea generation, as well as evolution of ways of
working that will form the basis for an effective digital
business.
*Note: The above levers have been defined from a basic evaluation of popular Business Excellence models
like MBNQA and EFQM. The list is not intended to be exhaustive, and additional levers may be identified
based upon the type and nature of the business being evaluated for digital maturity.
7. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
7
PROPOSED DIGITAL MATURITY MODEL
The table below provides a view as to how the two components can be blended together to develop a cohesive Digital
Transformation Maturity Model (DTMM), which can be used in a practical manner to evaluate the stages or status of a DT journey.
8. SHEKAR K. RAO.
(PMP | CISA | LSSBB | CSM)
12-07-2017 shekarkr@yahoo.com | +91 9886571932
All Rights Reserved. Not to be used or reproduced without written consent of author.
8
NEXT STEPS
1. Additional levers may be identified based upon the requirement of the
business and the nature of the industry, and mapping to the relevant
maturity levels done accordingly.
2. Based upon the high level outline tasks proposed in each level of the
model for each of the levers, a questionnaire needs to be developed for
gauging the status of the DT journey on a quantitative, objective scale.
3. Weightages can be given to each of the levers for the assessed
organization, so that they can choose the priority of which lever they want
to use to obtain a more effective DT implementation
4. A cumulative rating for the overall DT program can then be fixed as a
baseline from which the organization can start improving.
5. Based upon assessment results, a roadmap can then be constructed with
inbuilt governance reviews to review the progress at key milestones of the
journey.
CONCLUSION
Digital Transformation programs are complex to monitor and evaluate over a long
period of time. The effects of the transformation may take a longer time to
manifest themselves as benefits to the organization, especially in an age of
economic turbulence and frequent technical improvements. These can be
assuaged by having a clear staged roadmap as part of the strategy, and usage of
a user-friendly maturity model to showcase the current status and future potential
across the organization.
Maturity models have had a long and successful history in tracking and
governance of organization-wide change initiatives. The original version of the
CMM has indeed lent itself to multiple interpretations, and has withstood the test
of time as the premier model used by organizations to evaluate different aspects
of the IT components of their businesses.
Hence, it is highly recommended that organizations use a Digital Transformation
Maturity Model as both a Gap Analysis tool and a Strategic Roadmap to guide
them along the journey to digital excellence. This will help in getting a deeper
understanding of the aspects impacting the business, and also ensure that
organizations are able to have a 360° view of the environment in which they
operate in. Governance also increases by leaps and bounds, thus ensuring that
companies do not expend money, effort or technical knowhow on a failing
organizational change initiative.