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Business Intelligence and analytics solutions often fail if they are not supported by adequate user involvement and adoption. Addressing the causes of user adoption issues
There are challenges that can be encountered in any organization when analyzing data for decision-making. Applying the optimal solution to each analytical challenge can improve
Effective business intelligence, analytics, AI/ML requires attention to legacy systems for improved data quality and data management Business Intelligence, analytics, cloud, ML/AI, digital, and business
Best practices for staffing any data warehouse / business intelligence /analytics initiative should be followed to ensure success and sustainability. Every major program or initiative
All consumers need to know their privacy rights to be able to exercise them effectively Privacy policies, cookie consent pop-ups, and “do not sell my
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
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