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

Bill Inmon is sometimes also referred to as the "father of data warehousing"; his design methodology is based on a top-down approach and defines data warehouse in these terms. Jun 24, 2013 - The purpose of the Data Warehouse in the overall Business Intelligence Architecture is to integrate corporate data from different heterogeneous data sources in order to facilitate historical and trend analysis reporting. Sep 26, 2013 - Many teams who follow this approach end up building massive data warehouses that can take months – or years – to complete before anything is delivered to the end-users. 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. It acts as a central repository and Data Warehouse Design Approach. Apr 7, 2008 - Agile gels well with the evolutionary approach required for a data warehousing / BI lifecycle. 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. 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. 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. Jan 20, 2014 - Whilst on the panel at the Insurance Network's Big Data and Advanced Analytics event, I spoke about how businesses should use the right BI tools for their requirements, and that IT departments should consider it their responsibility in-memory or proprietary technology to deliver extremely optimised performance, even if the tool needs to extract data from the data warehouse to enable this, should be seen as an optimisation approach achieve the required capability.