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

VG- brief comment- agile vs adaptive. BI teams that have taken a hands-off approach to visual data discovery tools need to support data provisioning and best practices; conversely, users who have relied on IT for every last sort, filter, and customization will need to Tip: Just because users aren't asking for mobile BI doesn't mean there is no business value. 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. "One thing we do not yet know how to do well is agility," Boris Evelson told me at the recent Forrester IT Forum in Las Vegas. 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. Jun 7, 2011 - Petabyte data warehouse? Every business intelligence (BI) feature imaginable? Evelson, a principal Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing[/A], is now available on Safari (rough-cut) and will be on shelves in July. Oct 25, 2011 - What about when you're working in an Agile environment? Check out the interview I had with Ken Collier about his book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing. 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. Jan 16, 2014 - Both the specialty vendors and the heavy weights — are trying to find the balance between agile yet trusted data — user driven but IT controlled. Sep 11, 2013 - In Forrester's Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 survey of 634 BI users and planners, we found that social and mobile data is actually a pretty low priority: We wrote about big data hubs in our report, Deliver On Big Data Potential With A Hub-And-Spoke Architecture, and indeed we think most firms will shift from a data-warehouse-centric approach to one that favors low-cost data hubs. Scalable to thousands of users?