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Extreme Scoping: An Agile Approach to Enterprise Data Warehousing and Business Intelligence by [Moss, Larissa]
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Extreme Scoping: An Agile Approach to Enterprise Data Warehousing and Business Intelligence Kindle Edition

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Length: 300 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English
  • Due to its large file size, this book may take longer to download

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Product description


Extreme Scoping is a methodology and approach to enterprise data warehousing and business intelligence that is perfect for 21st century organizations of any size or industry. By combining the foundations of data management and data analysis with the agile methods of rapid releases and user-centric delivery for business intelligence, Larissa Moss has given new life to the development path for any decision support initiative. Written from the perspective of an industry expert and practitioner who has delivered many successful EDW/BI projects, Ms. Moss Extreme Scoping combines the best aspects of many other methodologies into one manageable and proven approach to meeting business needs with data warehousing and business intelligence. This book is a valuable addition to the field, and should be used by all DW/BI professionals. --Anne Marie Smith, Ph.D., Enterprise Information Management Consultant

The dilemma faced by BI project managers is the pull from the business that wants speedy delivery and, on the other side, the requirement to follow an IT methodology that does not lend itself to a fast and furious BI delivery schedule, as well as the need to develop solutions that are enterprise-wide. In Extreme Scoping, Larissa Moss provides some breakthrough methods and reasoning that should satisfy both the business and the IT methodology auditors. --Sid Adelman

In a world that no-longer has patience to wait for the next solution to be developed; where selection is usually based on the religious "I believe ...."; where too many mistakenly use "The Agile Agenda" as an excuse for every team to do as they see fit; Larissa differentiates data integration projects from software development projects and identifies the strengths and weaknesses of many methodologies as the foundation for a new toolkit which is both robust and highly customizable. Easy to read, this insightful book is "a valuable must read" for any who want or need to understand where and how different methodologies deliver best value and optimal risk those in IT, finance, and most project stakeholders and team members. Students and teachers of IT disciplines will find the book a valuable investment, and I expect that many of the comparisons will surface as exam questions. Above all consultancies, that promote a particular methodology, need to be prepared to also offer Extreme Scoping or face challenges by customers that have read Larissa's masterpiece. --Kenneth Hansen, Analytic Domain Group, Australia and UK

Product Description

Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices?

If you screamed "yes" to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. Extreme Scoping, based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In addition, all of the roles required to deliver all seven steps of this agile methodology are explained along with many real-world examples.

From Wayne Eckerson's Foreword

I've read many books about data warehousing and business intelligence (BI). This book by Larissa Moss is one of the best. I should not be surprised. Larissa has spent years refining the craft of designing, building, and delivering BI applications. Over the years, she has developed a keen insight about what works and doesn't work in BI. This book brings to light the wealth of that development experience. Best of all, this is not some dry text that laboriously steps readers through a technical methodology. Larissa expresses her ideas in a clear, concise, and persuasive manner. I highlighted so many beautifully written and insightful paragraphs in her manuscript that it became comical. I desperately wanted the final, published book rather than the manuscript so I could dog-ear it to death and place it front-and-center in my office bookshelf!
From David Well's Foreword

Extreme Scoping is rich with advice and guidance for virtually every aspect of BI projects from planning and requirements to deployment and from back-end data management to front-end information and analytics services. Larissa is both a pragmatist and an independent thinker. Those qualities come through in the style of this book. Extreme Scoping is a well-written book that is easy to absorb. It is not full of surprises. It is filled with a lot of common sense and lessons learned through experience.

Product details

  • Format: Kindle Edition
  • File Size: 10570 KB
  • Print Length: 300 pages
  • Publisher: Technics Publications, LLC (11 January 2014)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #762,497 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most helpful customer reviews on 3.9 out of 5 stars 5 reviews
5.0 out of 5 starsthanks
4 March 2014 - Published on
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Naveen K. Thalanki
2.0 out of 5 starsAnything but agile
29 November 2018 - Published on
William McKnight
5.0 out of 5 starsBalance Between Agile and Traditional Waterfall for Data Warehouse Development
5 December 2013 - Published on
3 people found this helpful.
John Giles
5.0 out of 5 starsDon't attempt "agile" data warehousing without reading this
12 April 2014 - Published on
2 people found this helpful.
Sidney R. Adelman
5.0 out of 5 starsThis book will make you relevant and important
5 September 2013 - Published on
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