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A business rule expresses actions and constraints on specific data used by the organization and the state of being for the data and its activities
Every organization should, and can, develop an enterprise data management program that demonstrates real value. The process starts with an assessment of the current state
What data is not the responsibility of the Chief Data Officer (CDO)?
Many data integration and analytics efforts use source-to-target mapping to identify data and related metadata. Developing a Source-to-Subject mapping can be an alternate approach High
Every data governance program needs a scope document to describe the extent of the program and its major activities The Merriam-Webster dictionary defines scope as
Intellectual capital and organizational knowledge must be captured and not made available to the rest of the organization to be worthwhile What is Intellectual Capital?
Every business intelligence and analytics initiative needs access to the source data. This can be a complex task, but there are ways to make that
Many organizations consider Enterprise Information Management (EIM) to be too complex and not worth the design and implementation effort. Adhering to some best practices can
As the number of types and amount of unstructured data increase, organizations must develop and implement a consistent plan to manage content and records across
Data governance is much more than a rigid structure for ensuring data privacy. Here are six surprising things data governance initiatives can do for any
Metadata management has become increasingly important for transactional and analytical applications. Creating metadata silos causes numerous challenges; avoid creating siloed metadata Metadata management and its
Effective agile project management must include a focus on the people involved in a project, and the organization’s culture A common theme in society is
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