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

Dec 29, 2013 - In my opinion, it points back to visual analytics, dedicated teams of business analysts with clear missions and good data management and warehouse practices with an agile approach, so that major misses can be caught, reviewed and corrected mid-course. Nov 12, 2013 - As a proponent of agile data warehousing and business intelligence, I am constantly looking for new techniques for delivering value to customers faster, adapting to their feedback, and evolving toward the right business solutions It isn't about data warehousing, BI, or analytics … or is it? Jul 27, 2010 - There is no standard definition of BI, though IDC New Zealand senior market analyst Louise Francis groups BI into two categories — performance management tools and applications; and the data warehouse platform. While writing SQL is one approach to getting answers, it does not suit all levels of skills and experience. €�We moved so far away from agile, it wasn't even funny,” she said. Kopp, whose background is in business intelligence, said she realized that all her presentations to customers were more about workload management instead of getting value from their data. Jul 24, 2013 - Oracle and IBM also have a similar market approach; they both have downloadable software to connect their other database and analytics products to data stored in Hadoop. 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. 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. My clients routinely tell me stories about building dozens of BI reports based on customer spreadsheets or requests, only to discover that most of these are rarely or never used. 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. Cirro is a 'game-changing' approach to analytics allowing us to ask those questions quickly and gain initial insight and context across all our data silos without ETL build-out or the cost and complexity of a semantic layer. Oracle and IBM all at the same time. While I found it interesting, there's a lack of rigor in the analysis that is a common problem when using surveys at many companies- misinterpreting trends from surveys based on small sample sizes. €�End-user BI tools are split into two categories: Query, Reporting, Analysis Tools [QRA] being dashboards, production monitoring, ad hoc queries and so on; and Advanced Analytics, predictive analytics such as data mining and statistics,” she says. Collier Agile Analytics: A Value-Driven Approach to Business Intelligence download. Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken W. Nov 4, 2013 - “We have built, and continue to build upon, an extremely robust and rapidly evolving BI data ecosystem that drives new initiatives in order to tune and manage the operational and strategic aspects of our online gaming and media business. May 7, 2014 - Supporting the analysts, my team has built a MySQL data warehouse that pulls all the data from our enterprise resource planning software (hereafter ERP; we use Netsuite) with 30-minute latency and exposes those data in a simpler, "People want to move from a culture of reporting to a culture of analytics" - Steffin Harris.