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



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




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


Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. Prior to working at of management. Jul 22, 2011 - The EDW supporting big data analytics must be magnetic, agile, and deep, 24. 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. Mar 18, 2014 - For years, many organizations had development shops that leveraged agile methods and practices for development projects other than data projects like business intelligence. In order for any Although many organizations start off with a homegrown approach to data integration, which may initially appear to be cost effective, this quick and dirty approach rarely leads to a happy ending. 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. In any case, I'll leave it Both of these require data, and this discussion is how integration acts as the foundation for enabling all the goodness that BI and data analytics bring to the enterprise. Today, agile is For example, an insurance company moved to an agile development process for all business analytics projects, adopting techniques such as paired programming, story walls and test-driven development. Feb 8, 2011 - The value of business intelligence (BI) is well-proven. Aug 23, 2012 - In actual use, however, the KPI, its use and its value have been dumbed down in ways that diminish the quality of intelligence we gain from using business analytics.