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Bibliografische Details

Titel: Agile Analytics: A Value-Driven Approach to ...

Verlag: Addison-Wesley Professional

Erscheinungsdatum: 2011

Einband: paperback

Zustand: Good

Auflage: 1st Edition.

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Book by Collier Ken W

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"This book does a great job of explaining why and how you would implement Agile Analytics in the real world. Ken has many lessons learned from actually implementing and refining this approach. Business Intelligence is definitely an area that can benefit from this type of discipline." -Dale Zinkgraf, Sr. Business Intelligence Architect "One remarkable aspect of Agile Analytics is the breadth of coverage-from product and backlog management to Agile project management techniques, from self-organizing teams to evolutionary design practices, from automated testing to build management and continuous integration. Even if you are not on an analytics project, Ken's treatment of this broad range of topics related to products with a substantial data-oriented flavor will be useful for and beyond the analytics community." -Jim Highsmith, Executive Consultant, ThoughtWorks, Inc., and author of Agile Project Management "Agile methods have transformed software development, and now it's time to transform the analytics space. Agile Analytics provides the knowledge needed to make the transformation to Agile methods in delivering your next analytics projects." -Pramod Sadalage, coauthor of Refactoring Databases: Evolutionary Database Design "This book captures the fundamental strategies for successful business intelligence/analytics projects for the coming decade. Ken Collier has raised the bar for analytics practitioners-are you up to the challenge?" -Scott Ambler, Chief Methodologist for Agile and Lean, IBM Rational Founder, Agile Data Method "A sweeping presentation of the fundamentals that will empower teams to deliver high-quality, high-value, working business intelligence systems far more quickly and cost effectively than traditional software development methods." -Ralph Hughes, author of Agile Data Warehousing

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