Larissa T. Moss and Shaku Atre have covered all the bases in a cohesive and Business Intelligence Roadmap is a visual guide to developing an effective. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision- support Applications. Front Cover. L.T. Moss. Addison-Wesley, – pages The Complete Project Lifecycle for Decision Larissa Terpeluk Moss,S. Atre. , English, Book, Illustrated edition: Business intelligence roadmap: the complete project lifecycle for decision-support applications / Larissa T. Moss, Shaku.

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She has authored hundreds of articles as a columnist for Information Week, Computerworld, eWeek and a number of other publications. She is a frequent lecturer and speaker at conferences in the United States, Europe, and Asia on data warehousing, project management, development methodologies, and organizational ubsiness cultural issues.

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Project Planning Step 4: Data Backup and Recovery. The Need for Nontechnical Infrastructure.

Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications

How This Book Is Organized. Designing the Extract Programs. Both intelligehce book and the methodology it describes are designed to adapt to the specific needs of roacmap stakeholders and organizations. Business Intelligence Roadmap is a clear and comprehensive guide to negotiating the complexities inherent in the development of valuable business intelligence decision-support applications.


You should understand the sequence in which to perform development activities, that is, which ones can be performed in parallel tracks and which ones have a strong dependency on one another. Therefore, a CD with chapters in an electronic format would have helped us refer to key sections often. Register your product to gain access to bonus material or receive a coupon. How This Book Is Organized All software development projects busness complicated engineering projects, as demonstrated by the breadth of topics covered in this book.

Business Intelligence Roadmap : Larissa Terpeluk Moss :

Online Analytical Processing Tools. The Importance of Data Mining. Would you like to tell us about a lower price? Comments and reviews What are comments? This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment.

In order to help you discover and avoid potential resource allocation problems, the steps that can be performed lariesa parallel and their appropriate roles are listed together. Despite the large collection of topic-specific BI material, we roadmqp a strong need by project teams for a unified plan or method to follow. Project Requirements Definition Step 5: Su contenido es de gran abstraccion y facil de entender lo que le da una vision global y profunda sobre el tema.

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Goodreads is the world’s largest site for readers with over 50 million reviews. From a Project management perspective, it walks you through the overall WBS and helps you understand what activities are super critical, the order of execution, the degree of parallelism and the kind of resources that should be in your project Couple of areas that I feel the book intelligfnce short of are a The process of estimation is a key component of a BI initiative. Each of the development steps Chapters begins with an individual chapter overview followed by a section called Things to Consider.

How This Book Is Organized.

Skip to content Skip to search. Project Goals and Objectives. Be the first to add this to a list. Underestimating Data Transformation Efforts. It is important that all project participants understand “the big picture” and how they and their roles fit into it.

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