The Data Governance Institute (DGI)

A Data Governance Office (DGO) facilitates and supports Data Governance and Data Stewardship activities. When focused on “Big G” Governance, such as high-impact decisions, it convenes Decision Bodies and translates their decisions into action items. When focused on execution or “little g” governance controls and activities, it works with Data Stewards & Custodians embedded in functions across the organization. Read more: https://ow.ly/FXu150OVYs0 #DataGovernance #DataGovernanceFramework #DataGovernanceOffice

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 http://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 http://ow.ly/47Mv30rIXXa #DataGovernance

This live, online training discusses a set of techniques, frameworks, processes, and other topics to embed Data Governance and ensure that value is realized from the better management of data assets. Learn how to answer the many challenges presented by leadership and offer solutions to difficult problems. And use code DGI to save 10% on registration! https://ow.ly/C3fT50SF8CJ #DataGovernance #Training #DataGovernanceTraining #DataManagement

Technical teams have a lot of training in working with other technologists but sometimes struggle with specialty teams that focus on data. 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 outlines "invisible" data-related risks that can impact projects and identifies which groups should proactively manage those risks. It spells out questions that can make “hidden” data-related requirements and project activities visible to the entire project team. Learn more: https://ow.ly/44Yw50QnqTK #DataGovernance #Communications #guidance Save 10% with code: 10dgi

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: http://ow.ly/HXuQ30rIK2Q #DataGovernance

Join the Data, AI & Analytics Conference Europe to gain insights from over 45 expert speakers who will present the latest knowledge and trends in Enterprise Data, AI, and Strategic Leadership in the Digital Age. Learn about real-world applications of Data & AI and hear first-hand accounts from leading organisations who are revolutionising their data strategies. Join us October 14–17 in London! PLUS, save 10% on registration with our DGI exclusive discount! Get the code here: https://ow.ly/bRq150SxYNu #DataGovernance #DAI2024 #Analytics #DataScience #AI #BigData #Conference #LondonEvents #Data

This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities. Read about Focus Areas for #DataGovernance: Architecture, Integration in this post from our #PracticalGuidance series http://ow.ly/2vDx30rIXVr

Data Governance involves a lot of moving parts. With many stakeholders expecting many outputs, it can be challenging to manage projects, responsibilities, and project plans. Many Data Governance programs employ a portfolio approach to organizing their work, grouping projects and ongoing activities into workstreams. Each workstream will typically have its own lifecycle, with its own focus, scope, goals, metrics, funding, and responsibilities. Read more: https://ow.ly/pJTk50OVYkU #DataGovernance #DataGovernanceFramework

The terms Data Governance and Data Stewardship are sometimes used interchangeably, but there is actually a difference. Data Governance brings together cross-functional teams to make interdependent rules or to resolve issues or to provide services to data stakeholders. What, then is Data Stewardship? Read more here: http://ow.ly/10VN30rIK1J #datagovernance #datastewardship