Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series)

Using Agile methods you can bring far greater innovation value and quality to any data warehousing (DW) business intelligence (BI) or analytics project. However conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational legacy and specialty systems that mix commercial and custom code. Using working examples he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Colliers techniques offer optimal value whether your projects involve back-end data management front-end business analysis or both. Part I focuses on Agile project management techniques and delivery team coordination introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right nowwhether youre an IT decision-maker data warehouse professional database administrator business intelligence specialist or database developer. With his help you can mitigate project risk improve business alignment achieve better resultsand have fun along the way.