This document provides an overview of data governance and how to implement it within an organization. It discusses why data governance is important, especially in a post-COVID era, and the impacts of not having it. It defines the key components of a data governance organizing framework including strategy, directives, organization, technology, measurement, and change management. It then discusses how to practically implement data governance using an agile embedded approach and considering it as a business capability. Critical success factors and 5 key takeaways are also presented.
RWDG: Data Governance and Three Levels of Metadata DATAVERSITY
There are three levels of metadata that every organization must focus on. The three levels are the semantic level, the business level and the technical level. All three levels are important components of data governance and must be stewarded to focus on the goals and scope of your data governance program.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will present a three-tiered approach to defining, producing and using all levels of metadata to further the cause of data governance. Governing the processes associated with this metadata tends to be a central focus of successful data governance programs. Join Bob to learn how to simplify the metadata focus.
In this webinar Bob will discuss:
- The three levels of metadata and how they differ
- Sources of the metadata at each level
- Metadata linkage between the levels
- Processes to govern the all levels of metadata
- Institutionalizing policy to assure quality metadata at all levels
RWDG Webinar: Using Data Governance to Improve Data UnderstandingDATAVERSITY
For many data-focused initiatives to be considered successful, they require improved documented understanding of the organization’s data. Improvements in data understanding require accountability for the actions of putting clear definition behind your organization’s most valuable data. It makes sense that this process and associated metadata are governed.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will speak about how to focus your data governance program on improving the understanding of your organization’s data. Bob will talk about the data governance roles and processes required to improve the understanding of data and maintain the documented definitions.
In the webinar Bob will discuss:
Metadata associated with improving the understanding of data
How to select the appropriate metadata to improve understanding
Selecting processes to govern associated with improving data understanding
How improved understanding leads to improvements in project ROI
Measuring data understanding to demonstrate governance performance
RWDG Slides: Three Approaches to Data StewardshipDATAVERSITY
There are different ways to connect people with data stewardship responsibilities. You can assign people to be data stewards, identify people as data stewards or recognize people as data stewards. These approaches vary in several ways.
Join Bob Seiner for this month’s installment of the RWDG webinar series where he will compare and contrast three distinct approaches to data stewardship. The approach you select and follow will heavily influence how data governance results will be achieved.
In this webinar Bob will discuss:
- Three approaches to data stewardship
- The influence of each approach on program results
- Factors to assist in the selection of the approach to follow
- Obstacles to being successful with each approach
- Benefits of following each approach
Comparing Approaches to Data GovernanceDATAVERSITY
There are three distinct approaches to implementing Data Governance programs. There is the command-and-control approach, the traditional approach, and the non-invasive approach to implementing data governance. Selecting the best approach for your organization may be the most important data governance decision you make.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series as he compares and contrasts the three approaches. In this webinar Seiner will describe a method to compare the approaches using five primary components of data governance viewed by the five levels of responsibility associated with the program.
In this webinar Bob will discuss:
Three distinct approaches to implement Data Governance
Five core components to Data Governance success
Assessing each approach by each core component
Why the selection of approach is so important?
How to determine the best approach for your organization
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
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.
RWDG: Data Governance and Three Levels of Metadata DATAVERSITY
There are three levels of metadata that every organization must focus on. The three levels are the semantic level, the business level and the technical level. All three levels are important components of data governance and must be stewarded to focus on the goals and scope of your data governance program.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will present a three-tiered approach to defining, producing and using all levels of metadata to further the cause of data governance. Governing the processes associated with this metadata tends to be a central focus of successful data governance programs. Join Bob to learn how to simplify the metadata focus.
In this webinar Bob will discuss:
- The three levels of metadata and how they differ
- Sources of the metadata at each level
- Metadata linkage between the levels
- Processes to govern the all levels of metadata
- Institutionalizing policy to assure quality metadata at all levels
RWDG Webinar: Using Data Governance to Improve Data UnderstandingDATAVERSITY
For many data-focused initiatives to be considered successful, they require improved documented understanding of the organization’s data. Improvements in data understanding require accountability for the actions of putting clear definition behind your organization’s most valuable data. It makes sense that this process and associated metadata are governed.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will speak about how to focus your data governance program on improving the understanding of your organization’s data. Bob will talk about the data governance roles and processes required to improve the understanding of data and maintain the documented definitions.
In the webinar Bob will discuss:
Metadata associated with improving the understanding of data
How to select the appropriate metadata to improve understanding
Selecting processes to govern associated with improving data understanding
How improved understanding leads to improvements in project ROI
Measuring data understanding to demonstrate governance performance
RWDG Slides: Three Approaches to Data StewardshipDATAVERSITY
There are different ways to connect people with data stewardship responsibilities. You can assign people to be data stewards, identify people as data stewards or recognize people as data stewards. These approaches vary in several ways.
Join Bob Seiner for this month’s installment of the RWDG webinar series where he will compare and contrast three distinct approaches to data stewardship. The approach you select and follow will heavily influence how data governance results will be achieved.
In this webinar Bob will discuss:
- Three approaches to data stewardship
- The influence of each approach on program results
- Factors to assist in the selection of the approach to follow
- Obstacles to being successful with each approach
- Benefits of following each approach
Comparing Approaches to Data GovernanceDATAVERSITY
There are three distinct approaches to implementing Data Governance programs. There is the command-and-control approach, the traditional approach, and the non-invasive approach to implementing data governance. Selecting the best approach for your organization may be the most important data governance decision you make.
Join Bob Seiner for this month’s installment of the Real-World Data Governance webinar series as he compares and contrasts the three approaches. In this webinar Seiner will describe a method to compare the approaches using five primary components of data governance viewed by the five levels of responsibility associated with the program.
In this webinar Bob will discuss:
Three distinct approaches to implement Data Governance
Five core components to Data Governance success
Assessing each approach by each core component
Why the selection of approach is so important?
How to determine the best approach for your organization
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
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.
Real-World Data Governance Webinar: Big Data Governance - What Is It and Why ...DATAVERSITY
Big Data is all the rage. Everybody is asking about Big Data, researching Big Data, considering Big Data, some are even doing Big Data. Certainly many people are asking questions about Big Data Governance. We have some answers for them.
This Real-World Data Governance webinar with Bob Seiner will focus on the strength of Big Data Governance as a concept and a practice and will highlight how the concepts of each, Big Data and Data Governance, both benefit and hurt each other.
This session will include:
Defining Big Data Governance
Ways to Govern Big Data
Making the Connection for IT and Business People
Determining the Vitality of Big Data Governance
Considerations for Big Data Governance
Master Data is an important discipline that being implement by most organizations. Master Data sits at the heart of the single point of truth mentality or the need to discover and make available the system of record for the organization’s most valuable data. This importance leads to a need to formally govern master data. That is why you see MDM and DG connected at the hip.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series where he will discuss the relationship between master data and data governance and the importance of connecting these two disciplines. It makes sense to assure that the resources committed to providing quality master data also follow repeatable governed processes as part of their normal course of action. Learn more by attending this important RWDG webinar.
In this webinar Bob will discuss:
- The connection between Master Data and Data Governance
- Why and how Master Data needs to be governed
- Applying governance roles and actions to Master Data processes
- Whether there is such a thing as Master Data Governance
- The value Data Governance brings to Master Data
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
RWDG Slides: The Future of Data Governance – IoT, AI, IG, and CloudDATAVERSITY
Data Governance, as a discipline, has been around for more than 20 years. With each passing year, Data Governance faces new challenges that come from advances in technology and new ways of leveraging data to do business. The changes make life interesting for those of us delivering formalized Data Governance programs.
Join Bob Seiner for this month’s webinar focused on keeping Data Governance current with advancements in information technology and how to stay relevant as the uses of data expand around us. The data at the heart of each advancement will not govern itself. That is the future of Data Governance.
In this webinar, Bob will discuss:
• Advancements in Information Technology
• The impact of the advances on Data Governance
• The impact of Data Governance on the advances
• What the future of Data Governance looks like
• How to sell Data Governance’s role moving forward
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
Everybody is a Data Steward – Get Over It!DATAVERSITY
When Data Stewardship is based on people’s relationships to data, the program is assured to cover the entire organization. People that define, produce, and use data must be held formally accountable for their actions. That may include every person in your organization. Is this a good thing? Of course, it is.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series, where he will share how formalizing accountability, based on the actions people take with data, requires heightened awareness and enforcement of data rules. These rules focus on improving Data Quality, protecting sensitive data, and increasing people’s knowledge of the data that adds value for their business.
In this webinar, Bob will discuss:
Why the “Everybody is a Data Steward” approach is different (and better)
How to recognize the Data Stewards
Formalizing accountability based on data relationships
Coverage of the entire organization
Leveraging the technique to sell stewardship
RWDG Slides: Using Agile to Justify Data GovernanceDATAVERSITY
The Agile development methodology is here to stay. Data Governance is not going away any time soon. These two discipline share some common ground but often compete when it comes to the “right” thing to do when it comes to managing the data. The disciplines need to learn to play well together. The old mantra of “do unto others” applies here in a big way.
In this month’s Real-World Data Governance webinar, Bob Seiner will share tips and techniques to take advantage of the Agile methodology to justify the need for, and practice of, Data Governance. The two disciplines are the core of delivering on-time quality data through timely applications. You will walk away from this session inspired to try ideas on your own organization.
This webinar will cover:
• The governance aspects of Agile
• Why Data Governance Practitioners Should Embrace Agile
• Agile considerations for Data Governance
• The audience of both Agile and Data Governance
• How to Use Agile to Justify Data Governance
Real-World Data Governance Webinar: Using Data Governance to Achieve Data Qua...DATAVERSITY
Data Governance programs can focus on improving the quality of data. Improvements in quality require that people are held formally accountable for following defined processes for defining, producing and using data across the organization. These processes become the focal point of institutionalizing data quality.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will speak about how to focus your data governance program on improving the quality of data across the organization. Bob will talk about the data governance roles and processes required change organizational behavior associated with defining, producing and using quality data.
In the webinar Bob will discuss:
Defining data governance in terms of data quality
Delivering roles appropriate for improving data quality
Selecting appropriate data quality processes to govern
Using working groups to focus on data quality projects
Measuring quality to demonstrate governance performance
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
Non-Invasive Data Governance is summarized as the practice of formalizing accountability for data and the application of governance to process. Non-Invasive Data Governance describes how data governance is applied to the organization rather than being forced into the environment. A NIDG framework will be introduced in this webinar.
In this month’s installment of the RWDG webinar series, Bob Seiner will present a new data governance framework that addresses the core components of data governance for each level of the organization. The resulting framework can be used for all approaches to data governance.
In this webinar Bob will discuss:
- The five core components of a data governance effort
- The five levels where the core components will be addressed
- Detailed explanation of each component for each level
- A diagram to complete the framework for your organization
- A framework comparison across approaches
Is a Data Governance Charter Necessary?DATAVERSITY
Many Data Governance programs require a Data Governance Charter before they get started. A tremendous amount of effort can go into the development and approval of the charter. Many organizations are not permitted to get started until their Data Governance charter is approved. The question is, why is a charter so important?
Join Bob Seiner and special guest Anne Buff for this month’s RWDG webinar where he will address Data Governance Charter requirements and share how to develop and gain approval for the charter. Bob will share examples of charters and describe how the need for the charter and the charters themselves differ from organization to organization.
During this webinar Bob and his guest will discuss:
The core components of a Data Governance Charter
How to know when a Data Governance Charter is required
How to gain approval of the Data Governance Charter
Using the charter as a living breathing document
Sharing the charter as a primary communications tool
If you define, produce, or use data as part of your job and you are held formally accountable for how you define, produce, and use the data, then you are a data steward. If that statement is true, then everybody is a data steward. Does this make your Data Governance program more complex?
Join Bob Seiner for this thought-provoking webinar that asks and answers the question, how can everybody be a data steward? His approach to Data Stewardship will at the same time make your program less invasive to deliver and add a touch of complexity when it is recognized that the governance of data involves everybody in the organization.
In this webinar, Bob will talk about:
- Defining the levels and roles of data stewards
- What the term “formalized accountability” means
- How to handle the complexity of everybody being a data steward
- The complete coverage that is deployed by this approach
- How to “get over” everybody being a data steward
Just because an organization is willing to invest in the technology to perform complex analytics doesn’t mean they have the maturity to actually support it.
This webinar will answer the questions:
What degree of governance is necessary to actually succeed in using analytics effectively in an organization?
What level of “maturity” does an organization need to be effective with analytics?
What additional capabilities are needed for Big Data governance?
Is there support to effectively leverage the insights gained from Big Data analytics?
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?
Data Insights and Analytics Webinar: CDO vs. CAO - What’s the Difference?DATAVERSITY
At one time, there were well-stated distinctions between the Chief Data Officer and Chief Analytics Officer roles. But not today. In some organizations, this role confusion actually causes serious concerns.
John and Kelle will revisit the definitions, suggest where lack of clarity first began, and discuss how best to manage the role distinctions going forward.
This webinar will address:
Differences in the CAO and CDO roles
CDOs who aren’t responsible for all organizational data
Why role clarity matters
Organizational success without one or both roles
Balancing Data and Processes to Achieve Organizational MaturityDATAVERSITY
Data maturity and process maturity are two sides of the same coin - each of these must be balanced against the other to achieve overall organizational maturity. A focus on continuous improvement is vital to achieving breakthrough results and to balance data and process alignment. IDERA Senior Product Manager Ron Huizenga will discuss the importance of data and process modeling to drive your enterprise architecture toward a more mature state using the Data and Process Maturity Models as a benchmark and measure of performance.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Advanced Analytics Governance - Effective Model Management and StewardshipDATAVERSITY
There’s been a shift toward digital business transformation with growing use of a broad spectrum of analytical capabilities (descriptive, diagnostic, predictive, prescriptive) to drive decision-making. Having a framework and overarching strategy for analytics governance is essential for data-driven organizations. Today’s advanced analytics and Business Intelligence (BI) professionals understand driving successful governance is critical for developing consistent, trusted, transparent, and effectively utilized analytics.
Join this webinar to learn best practices and vetted approaches for how to:
Ensure analytics governance is integrated with existing Data Governance processes, policies, operating model management, and Data Stewardship
Adapt governance best practices for different analytics use cases
Confirm alignment of your analytics and BI strategy with critical business objectives
Balance the rewards of digital technology and applied analytics with the compliance risks of new ethical rules, standards, and regulations
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
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
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
On behalf of SBI Consulting I’ve made a webinar on September 25th about Data Monetization.
In the post covid-19 era, transformation of businesses to govern their data more as an asset will become of huge importance. Becoming more data driven and digital will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you’d want to remain competitive and survive & thrive in the new normal.
In this webinar “Data Monetization in a post-Covid era”, I cover topics such as:
What does Data Monetization entails
Why Data Monetization is important for your business
How does the post-Covid era impacts this monetization process
What do we mean with Infonomics and Data Debt
The 5 key takeaways to get started with Data Monetization
The outcome? A good understanding of Data Monetization and practical insights to get going immediately!
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Real-World Data Governance Webinar: Big Data Governance - What Is It and Why ...DATAVERSITY
Big Data is all the rage. Everybody is asking about Big Data, researching Big Data, considering Big Data, some are even doing Big Data. Certainly many people are asking questions about Big Data Governance. We have some answers for them.
This Real-World Data Governance webinar with Bob Seiner will focus on the strength of Big Data Governance as a concept and a practice and will highlight how the concepts of each, Big Data and Data Governance, both benefit and hurt each other.
This session will include:
Defining Big Data Governance
Ways to Govern Big Data
Making the Connection for IT and Business People
Determining the Vitality of Big Data Governance
Considerations for Big Data Governance
Master Data is an important discipline that being implement by most organizations. Master Data sits at the heart of the single point of truth mentality or the need to discover and make available the system of record for the organization’s most valuable data. This importance leads to a need to formally govern master data. That is why you see MDM and DG connected at the hip.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series where he will discuss the relationship between master data and data governance and the importance of connecting these two disciplines. It makes sense to assure that the resources committed to providing quality master data also follow repeatable governed processes as part of their normal course of action. Learn more by attending this important RWDG webinar.
In this webinar Bob will discuss:
- The connection between Master Data and Data Governance
- Why and how Master Data needs to be governed
- Applying governance roles and actions to Master Data processes
- Whether there is such a thing as Master Data Governance
- The value Data Governance brings to Master Data
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
RWDG Slides: The Future of Data Governance – IoT, AI, IG, and CloudDATAVERSITY
Data Governance, as a discipline, has been around for more than 20 years. With each passing year, Data Governance faces new challenges that come from advances in technology and new ways of leveraging data to do business. The changes make life interesting for those of us delivering formalized Data Governance programs.
Join Bob Seiner for this month’s webinar focused on keeping Data Governance current with advancements in information technology and how to stay relevant as the uses of data expand around us. The data at the heart of each advancement will not govern itself. That is the future of Data Governance.
In this webinar, Bob will discuss:
• Advancements in Information Technology
• The impact of the advances on Data Governance
• The impact of Data Governance on the advances
• What the future of Data Governance looks like
• How to sell Data Governance’s role moving forward
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
Everybody is a Data Steward – Get Over It!DATAVERSITY
When Data Stewardship is based on people’s relationships to data, the program is assured to cover the entire organization. People that define, produce, and use data must be held formally accountable for their actions. That may include every person in your organization. Is this a good thing? Of course, it is.
Join Bob Seiner for this month’s installment of his Real-World Data Governance webinar series, where he will share how formalizing accountability, based on the actions people take with data, requires heightened awareness and enforcement of data rules. These rules focus on improving Data Quality, protecting sensitive data, and increasing people’s knowledge of the data that adds value for their business.
In this webinar, Bob will discuss:
Why the “Everybody is a Data Steward” approach is different (and better)
How to recognize the Data Stewards
Formalizing accountability based on data relationships
Coverage of the entire organization
Leveraging the technique to sell stewardship
RWDG Slides: Using Agile to Justify Data GovernanceDATAVERSITY
The Agile development methodology is here to stay. Data Governance is not going away any time soon. These two discipline share some common ground but often compete when it comes to the “right” thing to do when it comes to managing the data. The disciplines need to learn to play well together. The old mantra of “do unto others” applies here in a big way.
In this month’s Real-World Data Governance webinar, Bob Seiner will share tips and techniques to take advantage of the Agile methodology to justify the need for, and practice of, Data Governance. The two disciplines are the core of delivering on-time quality data through timely applications. You will walk away from this session inspired to try ideas on your own organization.
This webinar will cover:
• The governance aspects of Agile
• Why Data Governance Practitioners Should Embrace Agile
• Agile considerations for Data Governance
• The audience of both Agile and Data Governance
• How to Use Agile to Justify Data Governance
Real-World Data Governance Webinar: Using Data Governance to Achieve Data Qua...DATAVERSITY
Data Governance programs can focus on improving the quality of data. Improvements in quality require that people are held formally accountable for following defined processes for defining, producing and using data across the organization. These processes become the focal point of institutionalizing data quality.
In this month’s installment of the Real-World Data Governance webinar series, Bob Seiner will speak about how to focus your data governance program on improving the quality of data across the organization. Bob will talk about the data governance roles and processes required change organizational behavior associated with defining, producing and using quality data.
In the webinar Bob will discuss:
Defining data governance in terms of data quality
Delivering roles appropriate for improving data quality
Selecting appropriate data quality processes to govern
Using working groups to focus on data quality projects
Measuring quality to demonstrate governance performance
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
Non-Invasive Data Governance is summarized as the practice of formalizing accountability for data and the application of governance to process. Non-Invasive Data Governance describes how data governance is applied to the organization rather than being forced into the environment. A NIDG framework will be introduced in this webinar.
In this month’s installment of the RWDG webinar series, Bob Seiner will present a new data governance framework that addresses the core components of data governance for each level of the organization. The resulting framework can be used for all approaches to data governance.
In this webinar Bob will discuss:
- The five core components of a data governance effort
- The five levels where the core components will be addressed
- Detailed explanation of each component for each level
- A diagram to complete the framework for your organization
- A framework comparison across approaches
Is a Data Governance Charter Necessary?DATAVERSITY
Many Data Governance programs require a Data Governance Charter before they get started. A tremendous amount of effort can go into the development and approval of the charter. Many organizations are not permitted to get started until their Data Governance charter is approved. The question is, why is a charter so important?
Join Bob Seiner and special guest Anne Buff for this month’s RWDG webinar where he will address Data Governance Charter requirements and share how to develop and gain approval for the charter. Bob will share examples of charters and describe how the need for the charter and the charters themselves differ from organization to organization.
During this webinar Bob and his guest will discuss:
The core components of a Data Governance Charter
How to know when a Data Governance Charter is required
How to gain approval of the Data Governance Charter
Using the charter as a living breathing document
Sharing the charter as a primary communications tool
If you define, produce, or use data as part of your job and you are held formally accountable for how you define, produce, and use the data, then you are a data steward. If that statement is true, then everybody is a data steward. Does this make your Data Governance program more complex?
Join Bob Seiner for this thought-provoking webinar that asks and answers the question, how can everybody be a data steward? His approach to Data Stewardship will at the same time make your program less invasive to deliver and add a touch of complexity when it is recognized that the governance of data involves everybody in the organization.
In this webinar, Bob will talk about:
- Defining the levels and roles of data stewards
- What the term “formalized accountability” means
- How to handle the complexity of everybody being a data steward
- The complete coverage that is deployed by this approach
- How to “get over” everybody being a data steward
Just because an organization is willing to invest in the technology to perform complex analytics doesn’t mean they have the maturity to actually support it.
This webinar will answer the questions:
What degree of governance is necessary to actually succeed in using analytics effectively in an organization?
What level of “maturity” does an organization need to be effective with analytics?
What additional capabilities are needed for Big Data governance?
Is there support to effectively leverage the insights gained from Big Data analytics?
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?
Data Insights and Analytics Webinar: CDO vs. CAO - What’s the Difference?DATAVERSITY
At one time, there were well-stated distinctions between the Chief Data Officer and Chief Analytics Officer roles. But not today. In some organizations, this role confusion actually causes serious concerns.
John and Kelle will revisit the definitions, suggest where lack of clarity first began, and discuss how best to manage the role distinctions going forward.
This webinar will address:
Differences in the CAO and CDO roles
CDOs who aren’t responsible for all organizational data
Why role clarity matters
Organizational success without one or both roles
Balancing Data and Processes to Achieve Organizational MaturityDATAVERSITY
Data maturity and process maturity are two sides of the same coin - each of these must be balanced against the other to achieve overall organizational maturity. A focus on continuous improvement is vital to achieving breakthrough results and to balance data and process alignment. IDERA Senior Product Manager Ron Huizenga will discuss the importance of data and process modeling to drive your enterprise architecture toward a more mature state using the Data and Process Maturity Models as a benchmark and measure of performance.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Advanced Analytics Governance - Effective Model Management and StewardshipDATAVERSITY
There’s been a shift toward digital business transformation with growing use of a broad spectrum of analytical capabilities (descriptive, diagnostic, predictive, prescriptive) to drive decision-making. Having a framework and overarching strategy for analytics governance is essential for data-driven organizations. Today’s advanced analytics and Business Intelligence (BI) professionals understand driving successful governance is critical for developing consistent, trusted, transparent, and effectively utilized analytics.
Join this webinar to learn best practices and vetted approaches for how to:
Ensure analytics governance is integrated with existing Data Governance processes, policies, operating model management, and Data Stewardship
Adapt governance best practices for different analytics use cases
Confirm alignment of your analytics and BI strategy with critical business objectives
Balance the rewards of digital technology and applied analytics with the compliance risks of new ethical rules, standards, and regulations
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
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
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
On behalf of SBI Consulting I’ve made a webinar on September 25th about Data Monetization.
In the post covid-19 era, transformation of businesses to govern their data more as an asset will become of huge importance. Becoming more data driven and digital will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you’d want to remain competitive and survive & thrive in the new normal.
In this webinar “Data Monetization in a post-Covid era”, I cover topics such as:
What does Data Monetization entails
Why Data Monetization is important for your business
How does the post-Covid era impacts this monetization process
What do we mean with Infonomics and Data Debt
The 5 key takeaways to get started with Data Monetization
The outcome? A good understanding of Data Monetization and practical insights to get going immediately!
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Data Governance — Aligning Technical and Business ApproachesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a robust data architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning data architecture & data governance for business and IT success.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
DAS Slides: Data Governance and Data Architecture – Alignment and SynergiesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Data security, quality and process transparency are areas that are posing risks for organisations in the age of Big and Small Data. In this presentation I define the problem and present some solutions to bridge the Data Governance chasm.
Building an Effective Data Management StrategyHarley Capewell
In June 2013, Experian hosted a Data
Management Summit in London, with over
100 delegates from the public, private and
third sectors. Speakers from Experian
and across the data industry explored the
challenges of developing and implementing
data quality strategies - and how to
overcome them. Read on for more information.
This whitepaper aims to assist Chief Data Officers in promoting a data-driven culture at their
organization, helping them lead the enterprise on a digital transformation journey backed by
analytical insights.
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
Data Modeling is hotter than ever, according to a number of recent surveys. Part of the appeal of data models lies in their ability to translate complex data concepts in an intuitive, visual way to both business and technical stakeholders. This webinar provides real-world best practices in using Data Modeling for both business and technical teams.
Data Governance & Data Architecture - Alignment and SynergiesDATAVERSITY
The definition of Data Governance can vary depending on the audience. To many, Data Governance consists of committees and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both aspects, and a robust Data Architecture can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
Similar to The Essentials of Data Governance in the New Normal (20)
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Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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2. AGENDA
WHY WHAT HOW
Explaining why Data Governance is
important for your business and how
it will evolve in a post covid-19 era.
01
What does Data Governance actually
mean? Going in depth into the Data
Governance Organizing Framework.
02
How can you practically implement
Data Governance within your
organization?
03
Explaining some critical success factors
you should take into account within your
Data Governance program.
CRITICAL SUCCESS
FACTORS
04
Emphasizing 5 key takeaways for you
to get going with Data Governance.
KEY TAKEAWAYS
05
4. POST COVID-19 ERA
IMPORTANCE OF DATA GOVERNANCE
The covid-19 pandemic period turned out to be
the biggest digital stress test for a majority of
organizations. Balancing privacy with
accessibility, accuracy versus speed, ensuring that
the organization's data is available as needed for
business purposes but that it also remains secure
and private under all circumstances.
Being successful in the new normal will entail a
systematic approach that emphasizes creating
and sharing value, using clear rules created
through broad agreement. Having an effective
data governance plan is key in this approach.
5. IMPACT OF NOT HAVING
DATA GOVERNANCE
DATA OF POOR QUALITY
Not properly governing data often
leads to bad data of poor quality. This
in turn will have a huge impact on the
quality, effectiveness and results
within your data value chain. Think
about the impact bad data can have
on your Artificial Intelligence,
Analytics, or decision-making
processes.
COSTS
The further ungoverned data flows
through your organization, the more
potentially expensive it gets to
address the issues it causes. Consider
the potential costs that missing,
duplicated, incorrect, non-
standardised or even incorrectly
interpreted data can entail.
NON COMPLIANCE
Not knowing if your data is compliant
with regulations puts you in great risk
of legal, financial or reputational
retributions.
6. MANAGING YOUR ASSETS
PEOPLE
People are everywhere
within an organization and
are considered to be one of
the most important assets.
DATA
Data is also everywhere in
an organization and is
increasingly seen as an
important and valuable
asset as well.
HR
MANAGEMENT
Human Resource
Management is the
organizing framework that
establishes the strategy,
objectives, and policy for
effectively and consistently
managing people.
DATA
GOVERNANCE
Just as HRM is Data
Governance the organizing
framework for effectively
and consistently managing
corporate data as an asset.
17. Business Benefits
data trapped in silos
numerous and recurring
data errors
example
established 3 data governance bodies
developed and implemented data quality “cookbooks”
supporting training programs
annual review
Business Problem
Governance Solutions
Increase in revenue of $2.4M
Cost savings realized of $4.8M
Financial Services
18. WHAT’S IN IT
FOR ME?
REDUCING COSTS
IMPROVING REVENUES
MITIGATING RISKS
20. HOW IMPLEMENTING DATA
GOVERNANCE
BIG BANG
Implementing data governance
through a sudden big bang
approach can have a disruptive
effect on your organization. You risk
being perceived as a data
governance terrorist and can be
culturally harmful.
The first change is to get the
organization data literate, because
in the end there are behaviors that
people must change.
It’s an evolution, not a revolution.
AGILE EMBEDDED
Using a more agile and iterative
approach will allow you to embed
data governance within the fabric
of the organization. If you want
data governance to stick, you need
to manage the organization’s
behavior changes. That’s why
change management is
indispensable.
Another good approach is to
perceive data governance as a
service within your organization.
A shared service of support,
awareness and decision making
so that everyone can adopt data
governance practices.
22. DATA GOVERNANCE
PROJECT PLANNING
Roll out in a thin-slice manner, using an incremental,
collaborative process to bring people, processes and IT along.
23. DATA QUALITY
PROPOSAL OF FIRST PROJECTS
DATA
STEWARDSHIP
BUSINESS GLOSSARY
& METADATA
FOUNDATIONAL
DG ACTIVITIES
MASTER DATA
MANAGEMENT
24. THE COST OF
DATA GOVERNANCE
THE NET COST OF DG IS ZERO
While the net cost of DG, over time, is zero,
there must be the understanding that
formal activity is required to ensure you
reach the zero-sum state.
Don’t forget to consider the cost of
nongovernance or continuing to use
information in a poorly managed fashion.
32. 5 KEY TAKEAWAYS
Data Governance is a
journey
Get your organization
data literate
The key is culture
Consider Data
Governance as a
business capability
Embed Data
Governance in an agile
thin-slice manner
#1 #3 #5
#4#2
33. THANKS
Does anyone have any questions?
Presentation created by Mathias Vercauteren
mathias.vercauteren@sbiconsulting.be
+32 473 833 122
www.sbiconsulting.be
34. This is where you give credit to the ones who are part of
this project.
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⬣ Secret beach
⬣ Aerial of Surfers Paradise, looking south at dusk.
⬣ Welcome to wonderland
⬣ Blue tent under milkyway
⬣ Breathtaking view of sunnylvsfjorden fjord and famous seven sisters
waterfall; norway
⬣ Person looking at top of skyscraper
⬣ Light trails on a suburban highway
⬣ Fire ring
⬣ person wearing backpack standing on cliff in front of mountains
⬣ Red boat moored on the idyllic lake near the rocky mountains
⬣ Rear view of a man with black backpack standing on bridge
⬣ Silhouette of a person's hand holding paper airplane against dramatic
sky
⬣ aerial shot of road surrounded by green trees
⬣ Step up
⬣ ocean wave
Editor's Notes
Analogy to HR:
Employees are everywhere in the enterprise, that’s why HR considers “people” as an asset.
HR creates enterprise-wide guidelines on areas that include how to interview, hire and promote people and what benefits you can offer employees.
HR sets policies and provides support.
HR communicates tools and systems to use.
Its goal is to enable departments to make these HR practices consistent across the company. It doesn’t execute on all the HR practices itself!
Similarities with Data Governance:
Data is also everywhere in the enterprise — and is an asset, just like its employees.
Data Governance creates guidelines or policies on how data should be created, managed, shared, used and ultimately archived or deleted.
Data Governance should enable the organization, just like HR, to govern the data on their own, by providing templates, standards, tools, systems and expertise to support the data lifecycle and facilitate consistency.
Like HR, Data Governance should not execute on all the data practices itself. It’s impossible for Data Governance to create or manage all of the data in the enterprise.
Data Governance is, like HR, an enterprise-wide service, not a program or a project.
In the post covid-19 era, transformation of businesses to become more data driven and digital will will only increase at an unseen pace.
The essence of this transformation and the emphasis will be on Data Monetization. Monetizing your data assets will be of vital importance if you’d want to remain competitive and survive & thrive in the new normal (or how Peter Hinssen like’s to call it, the “Day after Tomorrow”).
Most importantly, Data Governance is the core capability to ensure monetization success.
Another core concept that will become of increasing importance is “Infonomics”. Infonomics is the title of Doug Laney’s book on how to look at data as a true asset in an accounting sense. Data Governance is key to any formal recognition of data value.
Linked to that is the concept of “Data Debt”.
Mismanagement of data creates a debt accumulation situation. The longer you keep doing dumb things with data, the more expensive or the bigger disaster you will have when you need to or want to fix it. Think of DG as the data debt repayment process.
Transforming your business isn’t just a matter of installing the latest technologies and hiring a bunch of data scientist. It isn’t just plug & play.
It’s a matter of embedding a whole new mindset in the fabric of your organization. A 21th century mindset, build for the future.
You need to leverage change management principles to develop data literacy amongst your employees and stakeholders.
To make an analogy here. This isn’t the first time this transformation occurs. Think back to the 19th century industrial factories, where people were just a simple commodity without any rights.
The development of the mindset that people where a vital asset to a company and the surge of Human Resource Management, Talent Development and Acquisition and so one illustrates the Human Driven Business Transformation. History repeats itself, but this time with a totally different asset called “data”.
Data governance is the organizing framework for establishing the strategy, objectives and policy for effectively managing corporate data.
It consists of the processes, policies, organization and technologies required to manage and ensure the availability, usability, integrity, consistency, auditability and security of our data.
A data governance program consists of the inter-workings of 7 core components
Market example of the benefits of governance for a financial servicing company.
Business problem:
Data trapped in isolated silos could not be leveraged across organizational business functions
Numerous and recurring data entry errors by company representatives, compounded by use in support of financial and regulatory reporting
Governance:
Established three new teams with enterprise-wide responsibility: data governance office, data governance council and data quality services
Developed and implemented data quality “cookbooks” and supporting custom training programs to make clear roles and responsibilities
Annual review assessing governance outcomes and projects (business + IT)
Business benefit:
Initial pilot increased revenue by $2.4M for first 2 years based upon estimated $50M increase in loan volume
Cost savings realized of $4.8M through implementation of email campaigns
Source: Gartner
Reducing costs
Boost the Digital Transformation to increase efficiency within processes and reduce costs
Ensure management decisions are taken based on right information to enable cost-efficient investments, support the new digital strategy, …
Ensure qualitative and transparent data to decrease the cost of FTE spending hours searching, fixing and manipulating incorrect data
Improving Revenues
Provide better insights by maximizing data exploitation to enable opportunities for increasing revenue, improve quarter end closing process, …
Create value for the customer considering and respecting his/her privacy to boost (digital) customer experience and support business growth
Create new sources of revenues to optimize sales conversion, reduce time to market for new products, …
Mitigating risks
Ensuring compliancy to Supervisory Authorities requirements to mitigate legal, financial (penalties) and reputation risk
Data governance is at the center of data management activities, since governance is required for consistency within and balance between the different knowledge areas (DAMA - Data Administration Management Association).
“A data governance program enables an organization to be data-driven, by putting in place the strategy and supporting principles, policies, and stewardship practices that ensure the organization recognizes and acts on opportunities to get value from its data.” (DAMA)
Foundational activities:
Data Quality Management
Metadata Management
Data Protection (Privacy, Security, Risk)
Below entails the lifecycle management.
Plan & Design
Data Architecture / Data Modeling / Design
Enable & Maintain
Big Data Storage / Data Warehousing / Master Data Management / Data Storage & Operations / Reference Data Management / Data Integration & Interoperability
Use & Enhance
Data Science & AI / Data Visualization / Data Monetization / Predictive Analytics / Master Data Usage / Business Intelligence / Document & Content Management
A “capability” means that you have the ability to do something.
A business capability is an enterprise level expression of how it's going to go about doing its business.
It is the expression or the articulation of the capacity, materials and expertise an organization needs in order to perform core functions.
Similar like Human Resource Management for people assets and Supply Chain Management for product assets, also Data Governance has specific and essential capabilities related to managing data assets. It’s the answer to WHAT needs to be done to manage data.
Costs of data quality issues
Costs of missed opportunities
Data debt
Data Governance is a journey. Companies want to embrace all of the benefits but not the work to get there. It is not overwhelming work, but it requires a few changes.
DG must be more than just a bullet point on a slide for the leadership retreat. Will organizations have the will to make the change required?
Experience has shown the first change is to get the organization data literate. There are behaviors that people must change. But the goal is to have data management as much a part of organization language as budgets and risk. There are smart people in business, and this is not hard, but the literacy aspect means there is no focus on the data issues. There are guru platitudes, but literacy goes deeper.
The key is Culture—the key to success with AI and analytics is to manage the people, then the data. Look at Costco—culture permeates the organization’s success. Data requires the same
Organizations have to adopt principles and policies that address their longstanding abuse of operational data, and they will need to wean themselves off of inappropriate use of spreadsheets and Access databases. They need to understand that governance of data usage privacy and ethics are required to allow the 21st century opportunities that abound in data to flourish. AI will hurt people if there is no data quality. Advanced analytics will continue biased models without better oversight of algorithms
Consider Data Governance as a business capability. Data governance and management are market driven—you either have these capabilities in place or your business cannot achieve maximum potential.
Embed Data Governance in an agile thin-slice manner