By Ken W. Collier
Utilizing Agile tools, you could convey some distance better innovation, price, and caliber to any information warehousing (DW), company intelligence (BI), or analytics undertaking. although, traditional Agile equipment has to be rigorously tailored to deal with the original features of DW/BI tasks. In Agile Analytics, Agile pioneer Ken Collier exhibits the way to just do that.
Collier introduces platform-agnostic Agile options for integrating infrastructures inclusive of diversified operational, legacy, and distinctiveness platforms that blend advertisement and customized code. utilizing operating examples, he indicates the right way to deal with analytics improvement groups with broadly assorted ability units and the way to help huge, immense and fast-growing information volumes. Collier’s options supply optimum worth even if your tasks contain “back-end” information administration, “front-end” company research, or both.
Part I makes a speciality of Agile venture administration strategies and supply staff coordination, introducing middle practices that form the best way your Agile DW/BI venture neighborhood can collaborate towards success
Part II offers technical equipment for permitting non-stop supply of industrial worth at production-quality degrees, together with evolving greater designs; test-driven DW improvement; model keep an eye on; and undertaking automation
Collier brings jointly confirmed recommendations you could follow correct now—whether you’re an IT decision-maker, info warehouse specialist, database administrator, company intelligence expert, or database developer. along with his aid, you could mitigate venture chance, increase enterprise alignment, in achieving greater results—and rejoice alongside the way in which.
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Extra info for Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series)
Scott Ambler, a leader in Agile database development and Agile Modeling, has conducted numerous surveys on Agile development in an effort to quantify the impact and effectiveness of these methods. 6 The 2007 survey explored success rates of different IT project types and methods. Only 63 percent of traditional projects and data warehousing projects were successful, while Agile projects experienced a 72 percent rate of success. The 2008 survey focused on four success criteria: quality, ROI, functionality, and schedule.
So, what they told you at the beginning of the project may have been based on a misunderstanding or incorrect expectations. User requirements have changed or become more refined. That’s true of all software and implementation projects. It’s just a fact of life. What they told you at the beginning is much less relevant than what they tell you at the end. Users’ memories of early requirements reviews are fuzzy. It often happens that contractually speaking, a requirement is met by the production system, but users are less than thrilled, having reactions like “What I really meant was .
Such an intranet portal is expected to provide additional revenue streams for FlixBuster. There are multiple data sources for the FlixBuster DW/BI system, including FlixBackOffice, the corporate ERP system; FlixOps, the video-by-mail fulfillment system; FlixTrans, the transactional and point-of-sale system; FlixClear, the royalty management system; and others. FlixBuster has successfully completed other development projects using Agile methods and is determined to take an Agile Analytics approach on the development of its DW/BI system, FlixAnalysis.