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Every project, especially for complex initiatives in data warehousing / business intelligence / analytics, can fail because of poor project management practices. Following these bad
Every organization must plan and execute a variety of strategies to be successful. All organizations need a data strategy, with offensive and defensive components There
Team management is a crucial factor in the development and implementation of all successful data warehouse and analytics programs. Just as it is important to
Metadata management is an essential companion discipline for every successful data governance program Data Governance is the practice of managing information to identify and improve
Clear definitions and detailed steps can enable any organization to demystify the concepts in data governance and data stewardship With so much written and so
Enterprise data modeling should be an integral part of every organization’s data management practices. There are several effective approaches to useful enterprise data modeling. Enterprise
Defining the optimal organizational structure for a data warehouse, business intelligence, analytics program is a critical success factor that starts with the proper foundation. There
Data provides more reliable insight into organizational outcomes than intuition alone can. That’s why most managers build dashboards to monitor their sales pipeline, revenue generated,
Knowing the origins of logical and physical data modeling concepts and techniques can help data architects and data analysts understand the field of data management
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