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Agile Analytics: A Value-Driven Approach to
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..pdf
ISBN: 032150481X,9780321504814 | 366 pages | 10 Mb
Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier
Publisher: Addison-Wesley
Jan 8, 2012 - With "Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing: Delivering the Promise of Business Intelligence" Ken Collier introduces agile methodology to BI projects. Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . �We moved so far away from agile, it wasn't even funny,” she said. Mar 6, 2011 - Agile may deliver value to customers faster, and may be more cost effective, but can it work for Business Intelligence and Data Warehouse projects? Apr 17, 2012 - Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach. We've seen Agile cut project costs in half Organisations will embrace the Agile approach, utilising new tools and technologies to decrease delivery times and demonstrate substantial business value. Feb 28, 2012 - Agile methods, the use of a data warehouse (DW), Business Intelligence (BI), or analysis for the project much more innovation, value and quality can bring. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. Jul 24, 2013 - Oracle and IBM also have a similar market approach; they both have downloadable software to connect their other database and analytics products to data stored in Hadoop. Kopp, whose background is in business intelligence, said she realized that all her presentations to customers were more about workload management instead of getting value from their data. Oracle and IBM all at the same time.