A fact qualifier matrix can identify the specific data and usage needs for data delivery. However, a successful fact qualifier matrix relies on robust data definitions Many organizations attempt to provide DW/BI/analytics users with data delivery capabilities, but the products
All data lineage initiatives should be based on a set of essential steps for effective implementation and use of the metadata Implementing a data lineage initiative is a complex, and necessary project. An established data management framework and collaboration between
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
How should an organization document its data lineage? There are several approaches from which to choose When dealing with data lineage, one of the main questions is: how should it be documented? There are a few crucial decisions to be
Data lineage is an important aspect of a variety of legislation affecting the data from individuals and organizations. Introduction Several pieces of legislation have revived interest in data lineage. The Basel Committee on Banking Supervision‘s standard number 239 “Principles for
Data Lineage is an essential component in all business metadata management. Often overlooked, the value of data lineage can be seen in many areas. Introduction There is a growing interest in data lineage for many reasons, across all areas of
The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to operations and decisions Introduction The data landscape is changing faster than before. Big data, legacy
Organizations need a strategy for managing metadata. This strategy should be part of an enterprise data strategy, enabling the management of data as an organizational resource. Introduction Traditional systems development and implementation has focused on processes, rather than on data
A managed metadata environment (MME) is the optimal approach to metadata architecture for meeting business and technical requirements Introduction Almost every corporation and government agency has already built, is in the process of building, or is looking to build a
Metadata management is one of the foundational components of an enterprise data management initiative. Many organizations struggle with its incorporation into their data management processes. Metadata Management’s Relationship to Data Management Data Management is one of the hottest topics in
