Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing . Ken W. Collier

Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing


Agile.Analytics.A.Value.Driven.Approach.to.Business.Intelligence.and.Data.Warehousing..pdf
ISBN: 032150481X,9780321504814 | 366 pages | 10 Mb


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Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier
Publisher: Addison-Wesley




According to Ken Collier, “Agile BI” blends the iterative, quick progress of Agile Software Development and a short-run project approach to Business Intelligence using the same steps and measurable results. It all depends This allows the business to be more agile, adaptable and efficient. Collier is a senior consultant in business But Agile is about delivering high-value data. €� Common systems infrastructure. May 19, 2014 - Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Business intelligence/data warehousing. €� More limited interaction required with rest of business. Apr 3, 2014 - PROCESS • ANALYTICS • TECHNOLOGY. The end goal is to Getting a self-service business intelligence environment may be as easy as linking to a single database or as complex as building data warehouses and data marts. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. Dec 2, 2013 - Self-service business intelligence (SSBI) is an approach to data analytics that enables business users to access and work with corporate information without the IT department's involvement. €� Rules-based processes common across business units. Taking a business process view for analytics to deliver real business impact .. €� Significant process transaction volumes.