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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. As a notable insurance carrier specializing in P&C commercial and personal lines, Centric's client always had analytics and reporting While this approach had served the company well over the years, executives recognized the need to move toward verifiable information-backed management of the company. Feb 8, 2011 - The value of business intelligence (BI) is well-proven. 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. Mar 12, 2012 - Business value can be returned as quickly as the first data marts can be created, and the method lends itself well to an exploratory and iterative approach to building data warehouses so that no master plan is required upfront. Dec 31, 2009 - Download Pentaho Solutions: Business Intelligence and Data Warehousin - Free epub, mobi, pdf ebooks download, ebook torrents download. Inmon is one of the leading proponents of Agile, iterative approaches are surely very popular with BI projects these days and both Inmon and Kimball architectures are often implemented using an agile approach. Jun 11, 2013 - Centric delivered an extensible data warehouse based on the Centric BI Architecture Framework to flexibly analyze data and streamline operations. 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. 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. On the other hand, when the business users control their own data and BI, they can be much more agile and thus able to glean more value from their data, faster. 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. Dec 30, 2011 - I am currently reading a book by Ken Collier, called “Agile Analytics, A Value-Driven Approach to Business Intelligence and Data Warehousing”.