Data Governance

Effective data governance starts with a vision, and that vision must be at the enterprise level and commonly understood and communicated. At the highest level,

Every organization needs to understand the industry best and proven practices concerning the various roles in data stewardship to ensure an effective enterprise program Data

Is there a connection with Artificial Intelligence / Machine Learning and Data Governance?  Of course, since without well-governed and accurate data, there is no possibility

Data governance has 10 key components that exist to meet the enterprise’s data management requirements. All are essential to success Data governance is the foundation

Having an organizational understanding of the essential data used across the enterprise, through the development of a Subject Area Model and a foundational Conceptual Data

Every organization needs to know and apply proven, best practices in data governance to be able to realize the value of their data and information

When selecting technology solutions to support a Data Governance program it is important to conduct a thorough and focused assessment While Data Governance is fundamentally

Data Governance and Data Stewardship, are they the same thing? Many people working as a data steward or as a data governance professional make the

It is essential for all data management professionals to know these data governance terms and their definitions Data Governance: defines the people, processes, framework and

Identifying the correct organizational structure for the data governance program and naming the roles with the proper titles will ensure credibility and visibility for data

Every Data Governance program needs a team to coordinate and manage its activities, and a leader to oversee the team’s responsibilities and guide its interactions

Creating and maintaining business and technical metadata definitions are two common data stewardship activities.  Doing them well is essential to data stewardship success. Data stewards