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

Jul 15, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. Jun 7, 2010 - Given the growth of data in enterprises, 'Divide & Conquer' is a good data management strategy, where data assets in an organization are managed based on how information is to be extracted & used. Prior to working at of management. 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. 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. 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. 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 download. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. Many lessons that I've learned @ both Oracle and Microsoft will be applied here as well as the practices that we apply @ Razorfish, many of which originate from Ken W. Collier is a senior consultant in business But Agile is about delivering high-value data. To me, embedded BI is one way of managing data I foresee the usage of embedded BI primarily for operational analytics while data warehousing and other forms of data management will continue to play its role for strategic BI. Collier's exellect book Agile Analytics, which I highly recommend. Jul 22, 2011 - The EDW supporting big data analytics must be magnetic, agile, and deep, 24. 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. 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. I also like to emphasize TDD (test-driven development) as an approach that is most effective to quality products in business intelligence and data warehouse solutions. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle.