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

Oct 2, 2011 - Ebook download, Ebook Review, Book Description Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or. Check out the interview I had with Ken Collier about his book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. Oct 25, 2011 - What about when you're working in an Agile environment? Emerging technologies such as Big Data, Data Science, and advanced visualization are allowing companies to ingest, process, and visualize information beyond the capabilities of conventional Business Intelligence and Data Warehouse environments. 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. 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. 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. Sep 20, 2013 - A tightly coupled data integration and business analytics platform accelerates the realization of value from big data. Pentaho's modern, simplified and interactive approach empowers business users to access, Utilizing Pentaho's Agile BI approach, Pentaho Data Integration unifies the ETL, modeling and visualization processes into a single, integrated environment that enables developers and end-users to work seamlessly together. Nov 22, 2012 - Agile analytics : a value-driven approach to business intelligence and data warehousing Collier's techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both. Nov 1, 2013 - This data trail benefits the consumer of the data and can be harnessed to provide insight into products, trends and sentiments of participants in the social network to identify information with high social value.