By Ken W. Collier

Utilizing Agile tools, you could convey a ways higher innovation, worth, and caliber to any facts warehousing (DW), company intelligence (BI), or analytics undertaking. although, traditional Agile equipment needs to be conscientiously tailored to deal with the original features of DW/BI tasks. In Agile Analytics, Agile pioneer Ken Collier indicates tips on how to do exactly that.

Collier introduces platform-agnostic Agile strategies for integrating infrastructures such as varied operational, legacy, and distinctiveness platforms that blend advertisement and customized code. utilizing operating examples, he exhibits the way to deal with analytics improvement groups with broadly varied ability units and the way to aid huge, immense and fast-growing information volumes. Collier’s suggestions provide optimum worth even if your tasks contain “back-end” facts administration, “front-end” company research, or both.
Part I specializes in Agile venture administration options and supply workforce coordination, introducing center practices that form the best way your Agile DW/BI undertaking group can collaborate towards success
Part II offers technical equipment for allowing non-stop supply of commercial worth at production-quality degrees, together with evolving stronger designs; test-driven DW improvement; model keep an eye on; and undertaking automation
Collier brings jointly confirmed strategies 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 support, you could mitigate venture threat, enhance company alignment, in achieving larger results—and have a good time alongside the best way.

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

Sample text

The online channel receives still a different revenue percentage to cover its operating costs. FlixBuster has determined that there is a good business case for developing an enterprise business intelligence system. This DW/BI system will serve corporate users from finance, marketing, channel sales, customer management, inventory management, and other departments. FlixBuster also intends to launch an intranet BI portal for subscription use by its clearinghouse partners, studios, franchisees, and possibly even Internet movie database providers.

D. in computer science engineering, Ken is formally trained in software engineering, data management, and machine learning. He loves challenging problems in the areas of systems architecture and design, systems/software development lifecycles, project leadership, data warehousing, business intelligence, and advanced analytics. Ken also loves helping organizations adopt and tailor effective approaches and solutions that might not otherwise be apparent. He combines a deep technical foundation with sound business acumen to help bridge the gaps that often exist between technical and business professionals.

This is a natural inclination for new Agile practitioners, and I will provide some 13 DATA WAREHOUSING A RCHITECTURES AND SKILL SETS recommendations that may seem prescriptive in nature. In fact you may benefit initially by creating your own “recipe” for the application of Agile DW/BI principles and practices. However, I need to reemphasize that Agile Analytics is a style, not a methodology and not a framework. Figuratively, you can absorb agility into your DNA with enough focus, practice, and discipline.

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