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. This new survey-based research Professionals must shift development and deployment approaches so that systems are responsive to agile business needs and oriented toward providing self-service functionality to free users from dependence on IT. 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. Collier is a senior consultant in business But Agile is about delivering high-value data. Collier's exellect book Agile Analytics, which I highly recommend. 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. Many lessons that I've learned @ both Oracle and Microsoft will be applied here as well as the practices that we apply @ Razorfish, many of which originate from Ken W. 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. 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. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. I also like to emphasize TDD (test-driven development) as an approach that is most effective to quality products in business intelligence and data warehouse solutions. Jan 4, 2013 - The information that flows from BI, analytics, and data warehousing systems can help organizations find the right decision-making balance that avoids the extremes of snap decisions and rigid processes. Figure 1 Business Intelligence & Analytic Data Components. 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. Mar 18, 2014 - For years, many organizations had development shops that leveraged agile methods and practices for development projects other than data projects like business intelligence. Nov 5, 2013 - The need for detailed requirements gathering, data quality and cleansing work is paramount in launching any business intelligence project. Today, agile is For example, an insurance company moved to an agile development process for all business analytics projects, adopting techniques such as paired programming, story walls and test-driven development. 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. 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. VG- brief comment- agile vs adaptive.