The Data Governance Institute (DGI)

The DGI offers the web’s best collection of data-related terms explained using non-technical language. Here you will find the information you need to understand not only Data Governance, but other types of programs and projects, Check out our Data Governance Glossary here: https://ow.ly/JklD30rIOTU #DataGovernance

Everything an organization does should tie to one of three universal value drivers. Data Governance efforts MUST tie back to one or more of these drivers. And YOU must communicate how it does. Read more on Demonstrating Value here: https://ow.ly/9vbD30rIOZv #PracticalGuidance #DataGovernance

Featured Training: The DMBoK and CDMP? Preparation Learning Plan addresses all of the Information Management disciplines as defined in the international industry standard, the DAMA International Data Management Body of Knowledge (DMBoK?). In each course, instructor Christopher Bradley (a CDMP fellow) provides a solid foundation of the different information disciplines across the complete DMBoK spectrum. Learn more: https://ow.ly/OiCC50PebSj #DMBOK #CDMP #OnlineTraining

There’s an old adage: You can’t manage what you don’t name. And then there’s its corollary: You can’t manage well what you don’t define explicitly. How you define your program will influence your ability to manage it — to keep all participants on focus, in sync, and striving toward the same goals. Read more: https://ow.ly/fDhw30rIOYe #PracticalGuidance #DataGovernance

Featured Event: The 11th Data Management ThinkLab ThinkLab is known for its highly interactive format, blending insightful sessions, practical learning, and invaluable networking opportunities. Attendees leave not just with knowledge, but with actionable strategies to elevate their data initiatives. DGI Members can find a 30% discount code in our Members Only section. Learn more: https://ow.ly/m4SC50UIwxt April 9 – 11 in Prague, Czech Republic #DataManagement #ThinkLab #DataStrategy #DataGovernance

Does our organization need a Data Governance framework? All organizations need to be able to make decisions about how to manage data, realize value from it, minimize cost and complexity, manage risk, and ensure compliance with ever-growing legal, regulatory, and other requirements. Management and staff need to make good decisions – decisions that stick. They need to reach consensus on how to “decide how to decide.” They need to create rules, ensure that the rules are being followed, and to deal with noncompliance, ambiguities, and issues. In short, they need to do more than manage data; they need a governance system that sets the rules of engagement for management activities. https://ow.ly/xGhQ30rIY25 #DataGovernance #DataManagement #DataStrategy #GovernanceFramework #DataGovernanceFramework #EnterpriseData

Who does what in a Data Governance program? The answer is largely dependent on the focus and scope of your program. Most programs organize for success, however, using a typical three-part archetype that includes Data Governance Authorities, a support group such as a Data Governance Office, and individual contributors embedded within other functions. Read more: https://ow.ly/HXuQ30rIK2Q #DataQuality #DataStewardship #DataLeadership #DataManagement #DataStrategy#DataGovernance

Data-centric IT projects often face challenges such as missed deadlines, budget overruns, excessive management attention, and unmet business expectations. This is often due to ineffective collaboration between technical and data specialty teams. While better communication seems like the obvious solution, how do team members communicate about risks and requirements that may not be visible to them? The DGI Data Governance Communications Guide addresses these issues by highlighting "invisible" data-related risks and identifying groups responsible for managing them. It also offers questions to unveil "hidden" data-related requirements for the entire project team. Learn more: https://ow.ly/XxQg50OtsAX #DataGovernance #Communications #DataManagement #ITProjects #ProjectManagement #DataStrategy #DataQuality #RiskManagement

This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts. Explore Focus Areas for Data Governance: Management Alignment in this post from our #PracticalGuidance series https://ow.ly/8v8K30rIXXG #DataGovernance

This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. These types of efforts require tough data-related decisions, so organizations often implement governance to help make initial decisions, to support follow-on decisions, and to enforce standards and rules after the new system becomes operational. Rad about Focus Areas for Data Governance: Data Warehouses and Business Intelligence in this post from our #PracticalGuidance series https://ow.ly/47Mv30rIXXa #DataGovernance #BusinessIntelligence #DataWarehouse #DataManagement #BIInsights #DataStrategy