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

Ben Harden, PMP, is a Managing Director in the Data Management and Business Intelligence practice of the Richmond, Virginia based consulting firm CapTech . Oct 15, 2013 - A typical approach to address the lack of visualization capabilities within Google Analytics is to export data into Excel and then run some elementary charting. Feb 28, 2013 - Unique to Birst is its powerful, integrated approach to business analytics, which automates many of the traditional steps common to business intelligence solutions. 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. Jan 19, 2013 - S6A Agile Analytics: Value-Driven Data Warehousing and Business Intelligence · Ken Collier, Ph.D. Still, it's worth noting the cloud BI option? Collier is a senior consultant in business But Agile is about delivering high-value data. Jul 2, 2013 - Based upon my experience, I can name at least nine data components that need testing and validation in a business intelligence project. The key is to take a risk-based approach. Were supposed to do, Big Data is supposed to help organizations improve business performance and gain competitive advantage. None of these approaches/disciplines can be advantageous if you can't adapt based on the information they provide. May 26, 2011 - Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. From a data warehousing perspective, Amazon Redshift has really opened up the possibilities and a new breed of analytics providers is disrupting the old guard. Mar 6, 2011 - Agile may deliver value to customers faster, and may be more cost effective, but can it work for Business Intelligence and Data Warehouse projects? Adaptation These organizations will not see the degree of benefit from data analytics as more adaptable, agile ones. May 15, 2014 - aimed at focussing the organisation's skills and expertise in Business Intelligence, Data Management and Analytics and creating a critical mass of capability. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. One potential downside to a subject area or source base approach is trying to implement without strong architectural and modeling guidelines in place. Or perhaps the lifetime value of customers across a given period? May 19, 2014 - But it's not a case of either/or: the majority of those who've either already adopted cloud BI or are intending to do so are using the SaaS system to complement their existing BI and analytics capabilities. Jan 3, 2013 - Much like decision support, data warehousing, business intelligence etc. Figure 1 Business Intelligence & Analytic Data Components.