All successful business intelligence / analytics endeavors are based on a formal strategy and use a best-practices based methodology, even in agile environments. Many companies do not have a data strategy, which is a basic component for successful management of
Managing reference data is a complex and essential activity to ensure usable data for operations and decisions Managing reference data poorly can have a profound impact on operations and business intelligence, data analytics, machine learning (ML) and artificial intelligence (AI)
The Framework for Enterprise Architecture classifies and organizes information that is important to management as well as for development, and includes all the artifacts for each role and product. In the early 1980’s, there was little interest in the idea
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
