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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 Ken W. Collier ebook
Page: 366
ISBN: 032150481X, 9780321504814
Publisher: Addison-Wesley
Format: pdf

Business intelligence/data warehousing. Oct 7, 2011 - The Best People in Data Warehousing and Business Intelligence Agile Business Intelligence principles are based on its cornerstone of small, quick iterations focusing on value at each cycle and building quality solutions in a time-boxed way, seems to be the right fit to deliver information management Team problems adopting the approach where they think they are doing the right thing but for some reason they cannot tell why Agile is still not working for them. €� Rules-based processes common across business units. Jul 22, 2013 - For years, the general approach to Business Intelligence has been to create a 'new data structure' that pre-processes data views so that users could instantly access their favored reports and data views without having to wait for computers to are introducing database engines designed to both support operational transactional systems AND provide effective tooling to master analytics WITHOUT needing to create a separate Business Intelligence data warehouse. €� Significant process transaction volumes. €� More limited interaction required with rest of business. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. Aug 27, 2012 - Advanced analytics, Agile BI, Big Data, Business intelligence, Conference, Data quality, Data warehousing Last week I presented a paper on the Impact of Big Data on Data Warehousing at the ARK Group's conference on Revolutionising the Data Warehouse and Business Analytics, which was held in Melbourne. In this This is such an important topic as the value of BI to the business is so often questioned – especially for older, more cumbersome and inefficient implementations. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. Jan 26, 2011 - Business Intelligence; // Data Warehousing; // Business Analytics Essentially, Agile BI is not intended as a large-scale, program approach to business intelligence and analytics. Apr 3, 2014 - PROCESS • ANALYTICS • TECHNOLOGY. Taking a business process view for analytics to deliver real business impact .. €� Common systems infrastructure. 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.