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

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



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Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing Ken W. Collier ebook
Page: 366
Publisher: Addison-Wesley
Format: pdf
ISBN: 032150481X, 9780321504814


Here's how they Ongoing scoping, rapid iterations that deliver working components, evolving requirements, scrum sessions, frequent and thorough testing, and business/development communication are important facets of a formal agile approach. The conflict Since the mid 1980s, he has been the data warehouse/business intelligence (DW/BI) industry's thought leader on the dimensional approach and trained more than 10,0 IT professionals. Were supposed to do, Big Data is supposed to help organizations improve business performance and gain competitive advantage. Jul 22, 2011 - The EDW supporting big data analytics must be magnetic, agile, and deep, 24. Centers for Medicare and Medicaid Ser- vices (CMS), payers and providers are taking steps to move realizing value from them. Guided primarily by changes in reimbursement policies by the U.S. This growth in business awareness of the value of data-driven insights is rapidly spreading outward from the e-commerce world to virtually every business segment. Adaptation These organizations will not see the degree of benefit from data analytics as more adaptable, agile ones. Prior to working at of management. Jan 3, 2013 - Much like decision support, data warehousing, business intelligence etc. Transition from fee-for-service to a value-based “continuum” approach. Jan 25, 2012 - Author Ken Collier explains how to harness Agile techniques in a business intelligence/data warehousing environment in his book Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. None of these approaches/disciplines can be advantageous if you can't adapt based on the information they provide. Trend #1: BI and analytics enable better response to dynamic and diverse user needs. " A good example of this is Tableau (which markets itself as "visual analytics for everyone"). Oct 17, 2013 - The other day the TDWI (the Data Warehouse Institute) sent me a brochure highlighting Agile BI workshops and seminars.