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

With over twenty-five years of experience delivering value through data warehousing and business intelligence programs, John O'Brien's unique perspective comes from the combination of his roles as a practitioner, consultant, and vendor CTO in the BI industry. Dec 16, 2013 - Rachel Delacour, CEO of BIME Analytics, names the top five trends in business intelligence to watch next year As the entire web becomes a seamlessly connected data warehouse, organizations have the power at their fingertips to connect and query dozens of data source in the moment, predicts Rachel Delacour, cofounder and CEO of BIME Analytics. It's that time of year again, so get your award . 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. 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. Collier is a senior consultant in business But Agile is about delivering high-value data. Delacour has Cloud BI will put data scientists in their proper place -- where they contribute most value. Feb 5, 2014 - Once a year, TDWI collects award applications, judges them, and gives awards in eleven categories in data warehousing, business intelligence, and data management. The sessions delivered in this event introduce the framework and methodologies for modernizing data warehouses into data platforms that combine the latest data integration and analytic databases. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. It also often requires setting realistic goals, rolling out functionality in a phased approach, and evangelizing and selling the organization on the value of BI, DW, DM, and analytics at every opportunity. Oct 30, 2009 - Agile development is being merged with Business Intelligence to create smaller-scale, rapid-results with analytics applied to corporate data. 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.