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

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. Companies spend a lot of time modeling data, and that's precisely what IT team does very well. Aug 23, 2012 - In actual use, however, the KPI, its use and its value have been dumbed down in ways that diminish the quality of intelligence we gain from using business analytics. May 7, 2012 - Traditional approaches to BI cannot deliver solutions and reporting fast enough in this era of hyper-competitiveness. Jun 10, 2011 - His latest book, Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing, was named one of the “11 Books to Recharge Your Leadership Skills” by CIO-Insight. SAP Lumira delivers agile visualizations for business analysts to uncover more insight from their data – big and small – in SAP HANA and contribute new information. 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. Nov 11, 2013 - While other vendors look to consolidate and lock in their stacks, SAP takes an open approach to innovation and allows a wide variety of partners to build and deliver solutions – including analytics – on SAP HANA. Nov 22, 2012 - Agile analytics : a value-driven approach to business intelligence and data warehousing Collier's techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both. Sep 19, 2011 - For example, the huge amount of data available today – both structured and unstructured – requires a “divide and conquer” approach to data warehouse and BI projects as well as engaging across the functions and departments of organizations. There is also a strong predisposition and Business users generally conceive of BI as computer-based techniques used in recognizing and analyzing business data for decision-making in the organization.