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

Inmon is one of the leading proponents of Agile, iterative approaches are surely very popular with BI projects these days and both Inmon and Kimball architectures are often implemented using an agile approach. Feb 14, 2013 - In reading through the Gartner report, 2013 Magic Quadrant for Business Intelligence, there is no question that unstructured data is becoming a hot button for business and IT leaders alike. Apr 17, 2012 - Agile provides a streamlined framework for building business intelligence/data warehousing (BIDW) applications that regularly delivers faster results using just a quarter of the developer hours of a traditional waterfall approach. 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. Collier's exellect book Agile Analytics, which I highly recommend. And that's the correct way to approach the situation! May 9, 2014 - The business users want to perform all sorts of analysis, monitoring and analytics on the data. May 19, 2014 - To fully detect, isolate, and resolve quality issues in a traditional, large-scale data warehouse requires that several approaches be used together. While writing SQL is one approach to getting answers, it does not suit all levels of skills and experience. On the other hand, when the business users control their own data and BI, they can be much more agile and thus able to glean more value from their data, faster. Jan 19, 2012 - As Hadoop steamrolls through the industry, solutions from the business intelligence and data warehousing fields are also attracting the big data label. 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. 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. Mar 12, 2012 - Business value can be returned as quickly as the first data marts can be created, and the method lends itself well to an exploratory and iterative approach to building data warehouses so that no master plan is required upfront. Some OLTP Blog do Lito – Data Warehouse / Business Intelligence · Perguntas e In this article, I'll provide some basic information for developers on the basics of data warehousing and dimensional modeling – information that might help you if you want to provide even more value for your company. Recent 2013 predictions report entitled Predicts 2013: Business Intelligence and Analytics Need to Scale Up to Support Explosive Growth in Data Sources, predicted that by 2015, more than 30% of analytics projects will deliver insights based on structured and unstructured data. We've seen Agile cut project costs in half Organisations will embrace the Agile approach, utilising new tools and technologies to decrease delivery times and demonstrate substantial business value.