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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Designing the Extract Programs. Deliverable Resulting from These Activities.
Business Representatives Although the development steps are technical in nature, business representatives involved in BI projects must understand what activities need to occur during the development effort. Language English View all editions Prev Next edition 1 of 2. I was particularly impressed with the metadata discussions, which emphasize testing of the metadata repository, the role of metadata in navigation and context-sensitive-help at the element level, and lsrissa use of multiple sources to generate the metadata.
Enterprise Infrastructure Evaluation Step 3: The Tool Interface Intellignece. Request for Proposal Bud Porter-Roth. Unlimited one-month access with your purchase. Step 2, Section A: Project Goals and Objectives. Be sure that you have the prerequisites to implement your development approach and that you have a clear understanding larisas what it takes to move forward.
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 and cultural issues. I thought it was too late to teach an old dog new tricks, but I gathered several ideas that I plan to use on my next big project. Part I steers readers through the six stages of a BI project: Su bisiness es de gran abstraccion y facil de entender lo que le da una vision global y profunda sobre el tema.
The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed intellogence a variety of ways.
Designing and Building Effective Analytics at Scale. They can also use it to obtain the appropriate recognition for their BI projects from the business community and to solicit the required support from their executive management.
Engineering Stages and the Development Steps. Planning the BI Project. Online Analytical Processing Tools. Groupings of Meta Data Components. Explore the Roacmap Gift Guide. The authors walk readers through every step of the process–from strategic planning to the selection of new technologies and the evaluation of application releases. It should be used to determine workflow and task assignments for project team members.
Risks of Not Performing Step 4.
Roadmaap of Not Performing Step Read more Read less. These are general questions BI project teams usually contemplate when deciding which activities need to be performed under each development step. Next, compare your own BI project scope and requirements to the topics in the book. Available via World Wide Web. How This Book Is Organized. Bottom-Up Source Data Analysis.
Interviewees for General Business Requirements.
Meta Data Repository Design Step En este libro ud. Visit our Beautiful Books page and find lovely books for kids, photography lovers and more.
The Need for Nontechnical Infrastructure. Security Measures for BI Applications. Guide to the Development Steps. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen. The authors walk readers through every step of the process–from strategic planning to the selection of new technologies and the evaluation of application releases. Standardized Business Meta Data. Best Practices for Prototyping.
Designing the Load Programs. It is important that all project participants understand “the big picture” and how they and their roles fit into it.
However, to avoid redundancy these common topics are covered in only one chapter and buiness only briefly referenced in the other chapters. We also wanted to share with project managers, project teams, and business representatives our personal discoveries about what works and what doesn’t work on BI projects.