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

Sep 26, 2013 - Many teams who follow this approach end up building massive data warehouses that can take months – or years – to complete before anything is delivered to the end-users. Jul 22, 2011 - The EDW supporting big data analytics must be magnetic, agile, and deep, 24. 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. 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. Jan 19, 2013 - S6A Agile Analytics: Value-Driven Data Warehousing and Business Intelligence · Ken Collier, Ph.D. Oct 23, 2012 - WhereScape, a Teradata partner since 2006 and provider of agile development software for building and extending data warehouses, announced today that Delta Community Credit Union has purchased WhereScape RED empowering our resource-constrained development team to tackle a large implementation that will enable us to quickly deliver value to our institution and members,” said Delta Community Director of Business Intelligence Services Su Rayburn. Jan 17, 2014 - Methodologies: PMI's PMBOK (ANSI/PMI 08-004-2008), Agile (Scrum), and Microsoft Sure Step Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics, and data science practitioners. Prior to working at of management. If you haven't already deduced from my first post . Dec 28, 2011 - Rittman Mead Consulting - “Delivering Oracle Business Intelligence” I discussed that the usual approach to Agile data warehousing is not Agile at all due to the violation of it's main principle: working software delivered iteratively. 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. 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. In the next post, I'll describe what I call the Model-Driven Iteration, where we use OBIEE against the foundation layer to expose new subject areas in a single iteration. 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.