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Data Literacy is the ability to read, work with, analyze, and argue with data. Much like literacy as a general concept, data literacy focuses on
The Semantic Web facilitates the discovery and sharable usage of information. Data Governance and Data Stewardship programs can take advantage of this capability by implementing
Although some challenges are part of any data integration effort, the need for mastering the best practices for data integration remains essential for any organization
Every industry needs the solid foundations of enterprise information management to have a successful present and future, especially with data-intensive analytical processes. Healthcare organizations need
A data analyst can find many ways to practice and improve skills in requirements discovery, analysis, documentation, and approaches to the role. Defining the role
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
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