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This TDWI Checklist Report makes a case for applying data quality (DQ) techniques and best practices to data governance (DG) as a way of kick-starting and sustaining data governance.
In today's economic environment, organizations must use business intelligence (BI) to make smarter, faster decisions. Yet, in too many organizations, decisions are still not based on business intelligence because of the inability to keep up with demand for information and analytics. To satisfy this demand, one approach involves setting up a self-service BI (SS BI) environment.
This TDWI Checklist Report describes the fundamental aspects of BI that are necessary to help small and midsize enterprises achieve scalability by revealing new business opportunities, enabling rapid response to emerging issues, and continuously monitoring business success.
This TDWI Checklist Report helps you determine if your data integration environment has performance issues. It describes alternative solutions and includes the pros and cons for each.
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
Data integration (DI) has undergone an impressive evolution in recent years. Today, DI is a rich set of powerful techniques, including ETL (extract, transform, and load), data federation, replication, synchronization, changed data capture, data quality, master data management, natural language processing, business-to-business data exchange, and more. This report brings readers up to date on all that's happening in this exciting arena of data management.
Data visualization is increasingly an essential element of business intelligence (BI). No longer restricted to specialized applications, data visualization in the form of charts, maps, and other graphical representations is enabling business users to better understand data and use it to achieve tactical and strategic objectives.
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