A data governance charter is a statement of intent for the organization to follow as it designs and implements its data governance program Many companies are discovering a problem when they attempt to integrate separate systems into an enterprise view
As data management professionals advance in their career journeys, professional development should be prioritized. There are several areas that contribute to career growth and maintaining relevancy. Professional development should be a priority for all data management professionals, no matter where
Metadata, and its management, has had a long and winding history. Frequently overlooked, the value of metadata should never be discounted. Computer aided software engineering (CASE) tools, introduced in the 1970s, were among the first commercial tools to offer metadata
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, data governance is concerned with the management of data – its availability, currency, usefulness, accuracy
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 Stewardship is the process of having data stewards work with the data and metadata of
Persuading executives, managers, and other leaders about the need for data management and its components is as important as the best practices themselves. Data Management professionals attending educational events such as TDWI, EDW DAMA, Data Governance Conference, International Oracle Users
If information should be treated as a product, then it should be managed accordingly. All information should be assigned to a product manager. Information should be managed over its product life cycle in the same way as a successful physical
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 for an AI or ML project to succeed What Is Data Governance? Data governance is
To enable information quality in any environment, it is essential to identify the collectors, consumers, and custodians of each item of information and define their responsibilities clearly. If organizations want to treat information as a product, then they must look
