This document provides an overview of a webinar on implementing data governance best practices. It discusses defining data governance best practices and assessing an organization's current practices against those best practices. Examples of best practices from different industries are provided. The document emphasizes communicating best practices in a non-threatening way and building best practices into daily operations. Key aspects covered include criteria for determining best practices, messages to convey to management, and best practices related to creating a best practices document.
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!
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
• History of Data Management
• Business Drivers for implementation of data governance • Building Data Strategy & Governance Framework
• Data Management Maturity Models
• Data Quality Management
• Metadata and Governance
• Metadata Management
• Data Governance Stakeholder Communication Strategy
Real-World DG Webinar: A Data Governance Framework for Success DATAVERSITY
A Data Governance Framework must include best practices, a practical set of roles & responsibilities for Data Governance built specifically for your organization, a plan for communicating with the entire organization and an action plan for applying governance in effective and measurable ways.
Join Bob Seiner for this Real-World Data Governance webinar as he discusses how to stay practical and work within the culture of your organization to develop and deliver a Data Governance Framework to meet your specifications and the business’ expectations.
This session will focus on:
Defining a Non-Invasive Operating Model of Roles & Responsibilities
Clearly Stating the Difference between Executive, Strategic, Tactical, Operational & Supporting Roles
Defining Data Stewards, Data Stewardship and How to Steward the Data
Recognizing & Identifying People into Roles Rather than Handing them to People as New Responsibilities
Leveraging the Framework to Implement a Successful Data Governance Program
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.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Improving Data Literacy Around Data ArchitectureDATAVERSITY
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
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!
This introduction to data governance presentation covers the inter-related DM foundational disciplines (Data Integration / DWH, Business Intelligence and Data Governance). Some of the pitfalls and success factors for data governance.
• IM Foundational Disciplines
• Cross-functional Workflow Exchange
• Key Objectives of the Data Governance Framework
• Components of a Data Governance Framework
• Key Roles in Data Governance
• Data Governance Committee (DGC)
• 4 Data Governance Policy Areas
• 3 Challenges to Implementing Data Governance
• Data Governance Success Factors
• History of Data Management
• Business Drivers for implementation of data governance • Building Data Strategy & Governance Framework
• Data Management Maturity Models
• Data Quality Management
• Metadata and Governance
• Metadata Management
• Data Governance Stakeholder Communication Strategy
Real-World DG Webinar: A Data Governance Framework for Success DATAVERSITY
A Data Governance Framework must include best practices, a practical set of roles & responsibilities for Data Governance built specifically for your organization, a plan for communicating with the entire organization and an action plan for applying governance in effective and measurable ways.
Join Bob Seiner for this Real-World Data Governance webinar as he discusses how to stay practical and work within the culture of your organization to develop and deliver a Data Governance Framework to meet your specifications and the business’ expectations.
This session will focus on:
Defining a Non-Invasive Operating Model of Roles & Responsibilities
Clearly Stating the Difference between Executive, Strategic, Tactical, Operational & Supporting Roles
Defining Data Stewards, Data Stewardship and How to Steward the Data
Recognizing & Identifying People into Roles Rather than Handing them to People as New Responsibilities
Leveraging the Framework to Implement a Successful Data Governance Program
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.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Improving Data Literacy Around Data ArchitectureDATAVERSITY
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
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
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.
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.
RWDG Slides: What is a Data Steward to do?DATAVERSITY
Most people recognize that Data Stewards play an essential role in their Data Governance and Information Governance programs. However, the manner in which Data Stewards are used is not the same from organization to organization. How you use Data Stewards depends on your goals for Data Governance.
Join Bob Seiner for this month’s RWDG webinar where he will share different ways to activate Data Stewards based on the purpose of your program. Bob will talk about options to extend existing Data Steward activity and how to build new functionality into the role of your Data Stewards.
In this webinar, Bob will discuss:
- The crucial role of the Data Steward in Data Governance
- Different types of Data Stewards and what they do
- Aligning Data Steward activities with program goals
- Improving existing Data Steward actions
- Finding new ways to use your Data Stewards
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJXDATAVERSITY
Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how well your program is adopted. This tutorial focuses on sharing a proven model guaranteed to represent your organization.
Join Bob Seiner for this lively webinar where he will dissect a complete Operating Model of Roles and Responsibilities that encompasses all levels of the organization. Seiner will detail the roles and describe the most effective way to associate people with the roles. You will walk out of this webinar with a model to apply to your organization.
In this session Bob will share:
- The five levels of Data Governance roles
- A proven Operating Model of Roles and Responsibilities
- How to customize the model to meet your requirements
- Setting appropriate role expectations
- How to operationalize the roles and demonstrate value
Real-World Data Governance: Data Governance ExpectationsDATAVERSITY
When starting a Data Governance program, significant time, effort and bandwidth is typically spent selling the concept of data governance and telling people in your organization what data governance will do for them. This may not be the best strategy to take. We should focus on making Data Governance THEIR idea not ours.
Shouldn’t the strategy be that we get the business people from our organization to tell US why data governance is necessary and what data governance will do for them? If only we could get them to tell us these things? Maybe we can.
Join Bob Seiner and DATAVERSITY for this informative Real-World Data Governance webinar that will focus on getting THEM to tell US where data governance will add value. Seiner will review techniques for acquiring this information and will share information of where this information will add specific value to your data governance program. Some of those places may surprise you.
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
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
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 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.
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.
Data Governance and Metadata ManagementDATAVERSITY
Metadata is a tool that improves data understanding, builds end-user confidence, and improves the return on investment in every asset associated with becoming a data-centric organization. Metadata’s use has expanded beyond “data about data” to cover every phase of data analytics, protection, and quality improvement. Data Governance and metadata are connected at the hip in every way possible. As the song goes, “You can’t have one without the other.”
In this RWDG webinar, Bob Seiner will provide a way to renew your energy by focusing on the valuable asset that can make or break your Data Governance program’s success. The truth is metadata is already inherent in your data environment, and it can be leveraged by making it available to all levels of the organization. At issue is finding the most appropriate ways to leverage and share metadata to improve data value and protection.
Throughout this webinar, Bob will share information about:
- Delivering an improved definition of metadata
- Communicating the relationship between successful governance and metadata
- Getting your business community to embrace the need for metadata
- Determining the metadata that will provide the most bang for your bucks
- The importance of Metadata Management to becoming data-centric
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
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
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
DataEd Slides: Data Strategy Best PracticesDATAVERSITY
Your Data Strategy should be concise, actionable, and understandable by business and IT! Data is not just another resource. It is your most powerful, yet poorly managed and therefore underutilized organizational asset. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Overcoming lack of talent, barriers in organizational thinking, and seven specific data sins are organizational prerequisites to be satisfied before (a measurable) nine out of 10 organizations can achieve the three primary goals of an organizational Data Strategy, which are to:
- Improve the way your people use data
- Improve the way your people use data to achieve your organizational strategy
- Improve your organization’s data
In this manner, your organizational Data Strategy can be used to best focus your data assets in precise support of your organization's strategic objectives. Once past the prerequisites, organizations must develop a disciplined, repeatable means of improving the data literacy, standards, and supply as business objectives in specific areas that become the foci of subsequent Data Governance efforts. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are covered, including:
- A cohesive argument for why Data Strategy is necessary for effective Data Governance
- An overview of prerequisites for effective Data Strategy, as well as common pitfalls that can detract from its implementation, such as the “Seven Deadly Data Sins”
- A repeatable process for identifying and removing data constraints, and the importance of balancing business operation and innovation while doing so
Do-It-Yourself (DIY) Data Governance FrameworkDATAVERSITY
A worthwhile Data Governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels, providing insight into key ideas and terminology used to attract participation across the organization. A framework plays a key role in setting up and sustaining a Data Governance program.
In this RWDG webinar, Bob Seiner will share two frameworks. The first is a basic cross-reference of components and levels, while the second can be used to compare and contrast different approaches to implementing Data Governance. When this webinar is finished, you will be able to customize the frameworks to outline the most appropriate manner for you to improve your likelihood of DG success.
In this webinar, Bob will discuss and share:
- Customizing a framework to match organizational requirements
- The core components and levels of an industry framework
- How to complete a Data Governance framework
- Using the framework to enable DG program success
- Measuring value through the DIY DG framework
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
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
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
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
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.
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.
RWDG Slides: What is a Data Steward to do?DATAVERSITY
Most people recognize that Data Stewards play an essential role in their Data Governance and Information Governance programs. However, the manner in which Data Stewards are used is not the same from organization to organization. How you use Data Stewards depends on your goals for Data Governance.
Join Bob Seiner for this month’s RWDG webinar where he will share different ways to activate Data Stewards based on the purpose of your program. Bob will talk about options to extend existing Data Steward activity and how to build new functionality into the role of your Data Stewards.
In this webinar, Bob will discuss:
- The crucial role of the Data Steward in Data Governance
- Different types of Data Stewards and what they do
- Aligning Data Steward activities with program goals
- Improving existing Data Steward actions
- Finding new ways to use your Data Stewards
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJXDATAVERSITY
Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how well your program is adopted. This tutorial focuses on sharing a proven model guaranteed to represent your organization.
Join Bob Seiner for this lively webinar where he will dissect a complete Operating Model of Roles and Responsibilities that encompasses all levels of the organization. Seiner will detail the roles and describe the most effective way to associate people with the roles. You will walk out of this webinar with a model to apply to your organization.
In this session Bob will share:
- The five levels of Data Governance roles
- A proven Operating Model of Roles and Responsibilities
- How to customize the model to meet your requirements
- Setting appropriate role expectations
- How to operationalize the roles and demonstrate value
Real-World Data Governance: Data Governance ExpectationsDATAVERSITY
When starting a Data Governance program, significant time, effort and bandwidth is typically spent selling the concept of data governance and telling people in your organization what data governance will do for them. This may not be the best strategy to take. We should focus on making Data Governance THEIR idea not ours.
Shouldn’t the strategy be that we get the business people from our organization to tell US why data governance is necessary and what data governance will do for them? If only we could get them to tell us these things? Maybe we can.
Join Bob Seiner and DATAVERSITY for this informative Real-World Data Governance webinar that will focus on getting THEM to tell US where data governance will add value. Seiner will review techniques for acquiring this information and will share information of where this information will add specific value to your data governance program. Some of those places may surprise you.
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
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
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 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.
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.
Data Governance and Metadata ManagementDATAVERSITY
Metadata is a tool that improves data understanding, builds end-user confidence, and improves the return on investment in every asset associated with becoming a data-centric organization. Metadata’s use has expanded beyond “data about data” to cover every phase of data analytics, protection, and quality improvement. Data Governance and metadata are connected at the hip in every way possible. As the song goes, “You can’t have one without the other.”
In this RWDG webinar, Bob Seiner will provide a way to renew your energy by focusing on the valuable asset that can make or break your Data Governance program’s success. The truth is metadata is already inherent in your data environment, and it can be leveraged by making it available to all levels of the organization. At issue is finding the most appropriate ways to leverage and share metadata to improve data value and protection.
Throughout this webinar, Bob will share information about:
- Delivering an improved definition of metadata
- Communicating the relationship between successful governance and metadata
- Getting your business community to embrace the need for metadata
- Determining the metadata that will provide the most bang for your bucks
- The importance of Metadata Management to becoming data-centric
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
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
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
DataEd Slides: Data Strategy Best PracticesDATAVERSITY
Your Data Strategy should be concise, actionable, and understandable by business and IT! Data is not just another resource. It is your most powerful, yet poorly managed and therefore underutilized organizational asset. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Overcoming lack of talent, barriers in organizational thinking, and seven specific data sins are organizational prerequisites to be satisfied before (a measurable) nine out of 10 organizations can achieve the three primary goals of an organizational Data Strategy, which are to:
- Improve the way your people use data
- Improve the way your people use data to achieve your organizational strategy
- Improve your organization’s data
In this manner, your organizational Data Strategy can be used to best focus your data assets in precise support of your organization's strategic objectives. Once past the prerequisites, organizations must develop a disciplined, repeatable means of improving the data literacy, standards, and supply as business objectives in specific areas that become the foci of subsequent Data Governance efforts. This process (based on the theory of constraints) is where the strategic data work really occurs, as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are covered, including:
- A cohesive argument for why Data Strategy is necessary for effective Data Governance
- An overview of prerequisites for effective Data Strategy, as well as common pitfalls that can detract from its implementation, such as the “Seven Deadly Data Sins”
- A repeatable process for identifying and removing data constraints, and the importance of balancing business operation and innovation while doing so
Do-It-Yourself (DIY) Data Governance FrameworkDATAVERSITY
A worthwhile Data Governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels, providing insight into key ideas and terminology used to attract participation across the organization. A framework plays a key role in setting up and sustaining a Data Governance program.
In this RWDG webinar, Bob Seiner will share two frameworks. The first is a basic cross-reference of components and levels, while the second can be used to compare and contrast different approaches to implementing Data Governance. When this webinar is finished, you will be able to customize the frameworks to outline the most appropriate manner for you to improve your likelihood of DG success.
In this webinar, Bob will discuss and share:
- Customizing a framework to match organizational requirements
- The core components and levels of an industry framework
- How to complete a Data Governance framework
- Using the framework to enable DG program success
- Measuring value through the DIY DG framework
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
Finding the perfect data governance environment is an elusive target. It’s important to govern to the least extent necessary in order to achieve the greatest common good. With the three data governance cultures, authoritarian, tribal, and democratic, the latter is best for a balanced, productive governance strategy.
The Triple Aim of data governance is: 1) ensuring data quality, 2) building data literacy, and 3) maximizing data exploitation for the organization’s benefit. The overall strategy should be guided by these three principles under the guidance of the data governance committee.
Data governance committees need to be sponsored at the executive board and leadership level, with supporting roles defined for data stewards, data architects, database and systems administrators, and data analysts. Data governance committees need to avoid the most common failure modes: wandering, technical overkill, political infighting, and bureaucratic red tape.
Healthcare organizations that are undergoing analytics adoption will also go through six phases of data governance including: 1) establishing the tone for becoming a data-driven organization, 2) providing access to data, 3) establishing data stewards, 4) establishing a data quality program, 5) exploiting data for the benefit of the organization, 6) the strategic acquisition of data to benefit the organization.
As U.S. healthcare moves into its next stage of evolution, the organizations that will survive and thrive will be those who most effectively acquire, analyze, and utilize their data to its fullest extent. Such is the mission of data governance.
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
Real-World Data Governance: Selecting the Right Data Governance ApproachDATAVERSITY
There are numerous approaches to delivering a Data Governance Program. Some people will say that no two programs look the same. Some of the approaches are stricter and more by the book – some may consider them to be about Command and Control. There are other approaches that focus more on formalizing accountability and that take a less invasive approach.
Join Bob Seiner for this installment of the Real-World Data Governance webinar series as he dissects several approaches to Data Governance and provides insight as to what may be the best approach for your organization. Bob will look at these approaches from a new program and existing program perspective.
In this session Bob will discuss:
Differences in Data Governance Approaches
How to Match Your Data Governance Approach to Your Culture
How to Blend Pieces of Different Approaches to Meet Your Objectives
How to Set Expectations Aligned with Your Approach
How to Evaluate if the Approach has been Successful
Van “Dumb” Naar “Smart” - Ingrediënten voor een Smart CityErik Van Der Zee
Steeds meer steden in Nederland willen graag een smart city worden. Maar wat is nou eigenlijk een smart city? Hoe maak ik van mijn stad een smart city, wat is de relatie tussen smart cities en concepten als Internet of Things en Big Data, en wat is de meerwaarde van locatie in smart cities? Op deze vragen probeert Erik van der Zee in deze sessie een antwoord te geven. Daarnaast besteed hij aandacht aan de Geonovum pilot Sensor Web & the Internet of Things. Deze start op 3 april 2014 en omvat onderwerpen als sensors en actuators, real-time data, privacy, governance en toepassingen voor Smart Cities. Concepten kunnen binnen de pilot worden uitgewerkt en getoetst in praktijkcases.
Presentatie op de Overheid en ICT beurs op 9 april 2014.
RWDG Webinar: DIY and Purchased Data Governance ToolsDATAVERSITY
Data Governance tools are enablers to program success. The metadata stored in these tools become the backbone of a successful Data Governance program. The question of whether to build your own Data Governance tools versus purchasing Data Governance tools must be answered early in the program development process. There are benefits and drawbacks to either way you answer this question.
This month’s RWDG webinar with Bob Seiner focuses on making smart choices when it comes to selecting or developing the tools to support your Data Governance program. Bob will share his experiences of evaluating tools on the market and also share templates and tools that he has created to assist programs through the growing pains of success. There is something in the webinar for newbies and experienced practitioners.
In this webinar Bob will address:
• How to answer the Build vs Buy question
• Criteria for evaluating tools on the market
• Examples of tools you can create yourself
• Complimentary nature of DIY and purchased tools
• Cost and benefits of Data Governance tool choices
This presentation illustrates best practices in master data governance through a rich set of case studies. The presentation leverages seven years of in-depth experience in the field from the Competence Center Corporate Data Quality.
With the Lightning Framework you can build modern apps faster and run them across all your devices. With the Winter ’17 Release, we’ve delivered a number of enhancements to Lightning to help you build even faster including new Lightning Base Components and Lightning Data Services. Learn about these important new features and more in this must-attend webinar.
- Accessing data more easily and efficiently with the new Lightning Data Service
- Building Lightning Components faster with new Lightning Base Components
- Developing more interactive experiences with new Lightning Quick Actions and the Utility Bar
The Data Model as a Data Governance ArtifactDATAVERSITY
Data Modelling lies at the core of many data management programs. The basic definition of data and the conceptual, logical and physical models can be used in many ways and benefit many people. Some of the uses of the Data Model may not be obvious or may not presently be followed by your organization. Find out why.
Join Bob Seiner for this installment of the Real-World Data Governance webinar series where he will discuss the use of the Data Model as an artifact of Data Governance. Bob will look at the data models as a way to effectively communicate along the path to better data definition, production and usage.
In this webinar, Bob will discuss:
•Applying DG Best Practices to Data Modelling
•The Data Model as an Effective Communications Tool
•Using Data Models to Improve Data Definition, Production and Use
•Appropriate Audiences for the Models
•The Relationship Between Data Governance and Data Modelling
Real-World Data Governance: Data Governance Policy - Components and ContentDATAVERSITY
Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering core metadata is an issue organizations have been struggling with for years. The Operational Metadata Store or OMS may be the answer.
The traditional Operational Data Store or ODS is a database designed to integrate data from numerous sources that supports business operations and then feeds that data back into the operational systems. This Real-World Data Governance webinar with Bob Seiner and a panel of industry pundits will hold a lively discussion on the practicality of creating the ODS using metadata as the data, utilizing the metadata from a variety of existing sources to operationalize your data stewards.
The session will focus on:
Identifying the most significant metadata for your organization
Identifying existing sources of metadata – known and hidden
Identifying when that metadata will be most useful to your data stewards
Defining a lifecycle that encourages data steward participation
Delivering a model that incorporates all of the above
Real-World Data Governance Webinar: Governance for Master DataDATAVERSITY
Join Bob Seiner and DATAVERSITY for the July installment of the Real-World Data Governance webinar series where the topic will be formally applying Data Governance to Master Data.
Real-World Data Governance: Modeling Data GovernanceDATAVERSITY
There are a lot of ways Data Modeling and Data Governance are connected. The discipline of quality data definition through Data Modeling, involving technicians and business people, is obvious. The practices of normalization, cardinality, business rules, domain definition … all reek of best practices in data discipline. This is what Data Governance is all about.
Join Bob Seiner and data modeling guru Donna Burbank for a Real-World Data Governance webinar that will focus on using a Data Model of the components of Data Governance as a way of describing the components themselves, the relationships between the components of Data Governance, and how to use this model as a way of getting everybody in your organization on-board with Data Governance.
The session will cover:
Data Modeling as a part of Data Governance
The Components of Data Governance as Entities
The Entity Relationships of Data Governance
Attribution of Data Governance Entities
Using the Model as a Communications Tool
Real-World Data Governance: Data Governance Roles & ResponsibilitiesDATAVERSITY
Well thought out data governance roles and responsibilities lie at the heart of successful data governance programs. All activities focus on the roles. From how we recognize stewards and apply governance, to how we engage and communicate with the people in the roles – the roles become the operating model for how governance works.
Join Bob Seiner for this month’s installment of the DATAVERSITY Real-World Data Governance webinar series focused on defining an operating model that can be assimilated to your organization. This model includes an easy-to-explain set of roles and responsibilities aligned with how your organization functions.
The session will cover:
Operational, Tactical, Strategic and Support Roles
How to recognize your stewards and other roles
How to apply roles consistently through all facets of your program
Providing incentive for active involvement
Real-World Data Governance: Agile Data Governance - The Truth Be ToldDATAVERSITY
The concepts of Agile Software Development have been applied in many ways in many organizations with differing levels of success. We should not be surprised that Agile is being used in terms of Data Governance. This application calls into question some of the key concepts of being Agile and Governing Data that are well worth discussing.
Join Bob Seiner and a Special Guest in this installment of the Real-World Data Governance webinar series to explore the idea of staying Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. All viewpoints will be considered.
This session will cover:
The Agile Manifesto
The value of staying Agile
What is meant by Agile Data Governance
Applying Governance to Agile efforts
Comparison with Other Methods of Governance
RWDG Webinar: Writing Data Governance Policies & ProceduresDATAVERSITY
A policy is a measured order of principles to guide decisions and achieve rational outcomes. Data Governance requires and delivers a way to get to these outcomes. Writing this policy and the associated procedures properly is paramount to program success.
In this RWDG webinar, Bob Seiner will speak about the core components that make up an effective Data Governance policy and what it takes to gain acceptance of this policy. Creating acceptable organizational policy may be easier than you think.
This webinar addresses:
* Essential Components of a Data Governance Policy
* Crafting Basic Data Governance Policy Principles
* Verbiage and Diagrams to Build a Data Governance Policy
* Why Policy is Necessary for Your Program
* Process and Procedure to Support the Policy
Real-World Data Governance: Governing Customer Data – Is There a Difference?DATAVERSITY
Many organizations select a specific domain or subject area of data to focus on as they kick off their data governance initiative. More often than not, it seems that subject area is Customer data. It is common practice these days for organizations to become customer-centric through being data-centric. Perhaps that is the case with your organization.
Good Data Governance to Great Data GovernanceDATAVERSITY
A dozen years ago Jim Collins authored the book Good to Great (Harper Business, 2001), the first business book that stretched far beyond the traditional business book audience and market. In this webinar (that was also a well-received session at EDW 2013) with Bob Seiner, he will borrow from the main points of this book to focus on the activities organizations should consider to extend their good data governance programs to become great data governance programs.
Seiner will briefly demonstrate factors that have led to “glass ceilings” and highlight those factors that world-class organizations have built governance into everyday activities. Attendees should expect to become part of the discussion while working toward a sensible list of these factors to be taken back to their organizations and applied accordingly.
Join Bob Seiner and DATAVERSITY for this Real-World Data Governance webinar that will focus on why some companies make the leap from good data governance to great data governance, while some do not.
Real-World Data Governance Webinar: Data Governance Framework ComponentsDATAVERSITY
There are several basic components that go into delivering a successful and sustainable data governance program. Many of these framework items can be developed using tools you already own and without going to great expense. Organizations swear by the items that will be discussed in this webinar.
Join Bob Seiner for this month’s installment of the Real-World Data Governance series to learn about how to build and deliver immediate and future value from your Data Governance program through the delivery of items that will formalize accountability for the management of data and information assets.
Bob will discuss these core components:
Gaining Leadership’s backing and understanding
Best Practice Analysis leading to Recommended Actions
Operating Model of Roles & Responsibilities
Communications Plan to improve awareness
Action Plan / Roadmap to success
RWDG Webinar: Agile Data Governance - How to Apply Governance to AgileDATAVERSITY
Agile development efforts and Data Governance efforts are at odds with each other. Even though they both have the sponsorship at the highest level of the organization, there is disconnect when it comes to understanding how the two disciplines interact. Supporters of both disciplines swear by their trade and leave little wiggle room when it comes to working together. Organizations want FAST and they require ACCURATE DATA. Organizations require both.
Bob Seiner will address Agile Data Governance in this month’s installment of the Real-World Data Governance webinar series. Agile efforts are typically corporate priority efforts. Data as an asset is an integral corporate priority. Both disciplines are here to stay to address rapidly changing business requirements and improved analytical and data protection capabilities. Organizations must address this separation and they must act quickly.
This webinar will focus on:
•Relating the Disciplines for Senior Leadership
•Finding Common Ground between Agile and Data Governance
•Applying Data Governance to Agile Efforts
•Best Practices for Agile Data Governance
•Gaining Agile Support for Data Activities
RWDG Webinar: A Data Governance Framework for Smart DataDATAVERSITY
Does your organization have smart data? How does your company define smart data? Smart data is data that is used in non-traditional ways such as through machine learning, through the semantic web and by taking advantage of new data opportunities such as the Internet of Thing. Businesses have embraced the importance of Big Data. Now we are being asked to embrace and govern Smart Data.
Join Bob Seiner and a Smart Data Expert for this Real-World Data Governance webinar focused on the governing the use of emerging data technologies and smart data practices as a way of maximizing the value of data in your organization. Smart data is new. Smart data will be the next Big Data. Attend this webinar to learn why Smart Data must be governed.
In the webinar, Bob and a special guest will share:
• An easy to understand definition of Smart Data
• Why you should provide a framework to govern Smart Data
• How Smart Data Governance sources differs from traditional Data Governance
• How Smart Data can and will be used in the present and future
• What it means to provide a Framework to govern Smart Data
Real-World Data Governance: Build Your Own Data Governance ToolsDATAVERSITY
There are many tools available to assist your organization to govern your data better. The value from these tools is proven and organizations come to rely on using these tools to deliver high quality and protected data. Some of these tools are available for purchase however many can be developed and provided internally.
This RWDG webinar with Bob Seiner will address the design, development and deployment of several key instruments of data governance success. Bob will describe the purpose of these tools, ways to build these tools and how to deliver value from tools you can construct with little or no cost.
In this webinar, Bob will discuss tools focused on:
Formalizing accountability for governing data definition, production and use
Recording critical data governance metadata
Applying governance to existing and/or new processes
Providing necessary awareness and communications
Building and improving data understanding
Real-World Data Governance Webinar: Agile and Data Governance - Bridging the GapDATAVERSITY
The concepts of both Data Governance and Agile Development continue to be applied in many organizations with differing levels of success. Nobody is surprised that Data Governance and Agile Methods can be at odds with each other. Perhaps they can partner to demonstrate success in both disciplines. Can Data Governance be applied to agile projects? Can Data Governance be applied in an agile way? These are two fascinating questions.
Join Robert S. Seiner for this RWDG Webinar to explore ideas for how to stay Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. This session focuses on discovering ways of bridging the gap.
This session will cover:
Data Governance and Agile Roles & Responsibilities
Applying Governance to Agile Projects
Being Agile with our Governance Requirements
Can the two coexist? “Selling” Agile to Governance People and the other way around
Real-World Data Governance Webinar: Data Governance and Metadata Best PracticeDATAVERSITY
Best practices are defined as a method or technique that has consistently shown results superior to those achieved with other means, and that is used as a benchmark. In addition the definition goes on to say that a "best" practice can evolve to become better as improvements are discovered. A best practice can also be considered a target behavior to which you can compare your organization to deliver the actionable steps you can follow to achieve best practice.
In this Real-World Data Governance webinar, Bob Seiner focuses on defining, assessing and deploying Data Governance and metadata best practice that will move your organization in the best possible direction of success. Participants can expect to leave the webinar with a working list that can be used for self or contracted assessment.
This session will cover:
Criteria to Determine if Something is Best Practice
Development of Data Governance Best Practice
The Process to Complete the Best Practice Assessment
The Delivery of the Assessment to Management
How to Use the Assessment to Deliver Action
Seiner dataversity-rwdg2017-05-operating modelofdatagovernanceroles-20170518f...DATAVERSITY
Roles and responsibilities are the foundation of a successful Data Governance program. An operating model of roles focuses on all levels of the organization including the executive, strategic, tactical and operational responsibilities. A complete model also includes roles that support the program.
In this month’s RWDG webinar, Bob Seiner will present a proven Operating Model of Data Governance Roles & Responsibilities that can be applied to the existing culture of any organization. This webinar may be the most important webinar of the year because of its impact on the rest of your data governance program.
In this webinar Bob will share information about:
The Operating Model as a pyramid diagram
Three different approaches to stewardship
Five distinct levels of responsibilities
Who is expected to participate at each level?
What will be “the ask” of these people?
Real-World Data Governance: Governing Data – Big and Small, Come One Come AllDATAVERSITY
With Big Data being such a hot topic, a frequent question for panels at conferences and on webinars has been “is there any such thing as Big Data Governance?” Bob Seiner has been asked that question many times in many venues. In this webinar Bob tries to answer that question once and for all. Perhaps you will agree with him. As always, there is a strong chance you won’t.
As many organizations consider Big Data solutions they recognize that there are aspects of big data that require specific attention. Some of these management issues are the same as issues with normal size or small data. Some of these management issues differ. What are the differences and what impact do they have on the governance of that data?
Join Bob Seiner and DATAVERSITY for a Real-World Data Governance webinar focused on investigating the similarities and differences between managing and governing big data versus small data.
Data Governance Best Practices and Lessons LearnedDATAVERSITY
Best practices and lessons learned are powerful tools used to assess an organization’s readiness and initial activities associated with delivering a Data Governance program. There are two criteria to determine if something is best practice for your organization. And the definition of data governance best practice is best way to learn from others and begin with the end in mind.
Bob Seiner will share industry data governance best practices in this month’s installment of the RWDG webinar series. Learn how to use the best practices defined in this webinar to address opportunities to improve your organization’s data governance implementation. Attend this webinar and learn that assessing your organization may not be as difficult as you think.
During this webinar Bob will discuss:
How to define data governance best practices for your organization
Criteria used to determine if a practice is best practice
How to assess your organization against industry best practice
Assessing risks associated with best practice gaps
Addressing opportunities to improve gaps uncovered in the assessment
Data Management and Data Governance are the same thing! Aren’t they? Most people would say that this line of thinking is absurd – or even worse. There is NO WAY that they are the same thing. Or are they?
Join Bob Seiner and Anthony Algmin for a lively, interactive, and entertaining discussion targeted at providing attendees ways to consider relating these two disciplines. You’ve never attended a session like this.
In this session, Bob and Anthony will discuss:
- The similarities between Data Management and Data Governance
- The differences between the two
- How to use Data Management to sell Data Governance … and the other way around
- Deciding if the two disciplines are the same … or different
Real-World Data Governance: A Different Way of Defining Data Stewards & Stewa...DATAVERSITY
What if everybody in your organization was considered a steward of the data they define, produce and use? What would it take to get that message across? How would we communicate with everybody, all the time, in an effective way … or this just a pipe dream? What exactly would it take to change the mindset of the organization as to the value of governance and stewardship of our most critical of assets? Bob Seiner thinks he has the answer. And he wants to share it with you during this installment of his Real-World Data Governance webinar series.
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Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.
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Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
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What is data literacy? Which organizations, and which workers in those organizations, need to be data-literate? There are seemingly hundreds of definitions of data literacy, along with almost as many opinions about how to achieve it.
In a broader perspective, companies must consider whether data literacy is an isolated goal or one component of a broader learning strategy to address skill deficits. How does data literacy compare to other types of skills or “literacy” such as business acumen?
This session will position data literacy in the context of other worker skills as a framework for understanding how and where it fits and how to advocate for its importance.
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, to customer centricity, to 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.
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:
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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.
In this webinar, Bob will focus on:
-Selecting the appropriate metadata to govern
-The business and technical value of a data catalog
-Building the catalog into people’s routines
-Positioning the data catalog for success
-Questions the data catalog can answer
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization. This webinar illustrates data modeling as a key activity upon which so much technology and business investment depends.
Specific learning objectives include:
- Understanding what types of challenges require data modeling to be part of the solution
- How automation requires standardization on derivable via data modeling techniques
- Why only a working partnership between data and the business can produce useful outcomes
Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return of analytics as well as data lakes, machine learning, master data management, and the like.
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This session provides a framework to help technology professionals research, measure, and present the economic value of a proposed or existing analytics initiative, no matter the form that the business benefit arises. The session will provide practical advice about how to calculate ROI and the formulas, and how to collect the necessary information.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
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.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and data architecture. William will kick off the fifth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data strategy itself. A more useful request is: “Can you help me apply data strategically?” Yes, at early maturity phases the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (must less perfect) data strategy on the first attempt is generally not productive –particularly given the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals. Learn how to improve the following:
- Your organization’s data
- The way your people use data
- The way your people use data to achieve your organizational strategy
This will help in ways never imagined. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
- A cohesive argument for why data strategy is necessary for effective data governance
- An overview of prerequisites for effective strategic use of data strategy, as well as common pitfalls
- A repeatable process for identifying and removing data constraints
- The importance of balancing business operation and innovation
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program describes what must be done at the programmatic level to achieve better data use and a way to implement this as part of your data program. The approach combines DMBoK content and CMMI/DMM processes – permitting organizations with the opportunity to benefit from the best of both. It also permits organizations to understand:
- Their current Data Management practices
- Strengths that should be leveraged
- Remediation opportunities
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery of ML-based innovation at scale to result in:
Faster time to market of ML-based solutions
More rapid rate of experimentation, driving innovation
Assurance of quality, trustworthiness, and ethical AI
MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors have emerged with offerings to support MLOps: the major offerings are Microsoft Azure ML and Google Vertex AI. We looked at these offerings from the perspective of enterprise features and time-to-value.
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...DATAVERSITY
With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
Join Julie Skeen and Shalaish Koul from Precisely, to learn how data observability can be used as part of a DataOps strategy to improve data quality and reliability and to prevent data issues from wreaking havoc on your analytics and ensure that your organization can confidently rely on the data used for advanced analytics and business intelligence.
Topics you will hear addressed in this webinar:
Data observability – what is it and how it can complement your data quality strategy
Why now is the time to incorporate data observability into your DataOps strategy
How data observability helps prevent data issues from impacting downstream analytics
Examples of how data observability can be used to prevent real-world issues
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
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➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
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➢ Korean President visits Samsung Electronics R&D Center
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"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
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Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
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Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
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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.
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Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
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.