Business Intelligence Roadmap, The Complete Project by Larissa Terpeluk Moss, S. Atre

By Larissa Terpeluk Moss, S. Atre

When you are searching for an entire remedy of commercial intelligence, then pass no extra than this booklet. Larissa T. Moss and Shaku Atre have lined the entire bases in a cohesive and logical order, making it effortless for the reader to persist with their line of concept. From early layout to ETL to actual database layout, the e-book ties jointly the entire elements of commercial intelligence.--Bill Inmon, Inmon businesses enterprise Intelligence Roadmap is a visible advisor to constructing an efficient enterprise intelligence (BI) decision-support program. This e-book outlines a strategy that takes under consideration the complexity of constructing functions in an built-in BI atmosphere. The authors stroll readers via each step of the process--from strategic making plans to the choice of recent applied sciences and the assessment of program releases. The publication additionally serves as a single-source consultant to the simplest practices of BI tasks. half I steers readers throughout the six phases of a BI venture: justification, making plans, enterprise research, layout, building, and deployment. every one bankruptcy describes certainly one of 16 improvement steps and the foremost actions, deliverables, roles, and duties. All technical fabric is obviously expressed in tables, graphs, and diagrams. half II offers 5 matrices that function references for the improvement method charted partially I. administration instruments, resembling graphs illustrating the timing and coordination of actions, are incorporated in the course of the e-book. The authors finish through crystallizing their a long time of expertise in a listing of dos, don'ts, advice, and principles of thumb. The accompanying CD-ROM features a entire, customizable paintings breakdown constitution. either the e-book and the technique it describes are designed to conform to the explicit wishes of person stakeholders and corporations. The publication directs company representatives, company sponsors, venture managers, and technicians to the chapters that handle their designated duties. The framework of the e-book permits businesses to start at any step and allows initiatives to be scheduled and controlled in various methods. enterprise Intelligence Roadmap is a transparent and entire advisor to negotiating the complexities inherent within the improvement of important enterprise intelligence decision-support functions

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Additional info for Business Intelligence Roadmap, The Complete Project Lifecycle for Decision-Support Applications

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Step 1: Business Case Assessment Chapter Two. Step 2: Enterprise Infrastructure Evaluation Chapter Three. Step 3: Project Planning Chapter Four. Step 4: Project Requirements Definition Chapter Five. Step 5: Data Analysis Chapter Six. Step 6: Application Prototyping Chapter Seven. Step 7: Meta Data Repository Analysis Chapter Eight. Step 8: Database Design Chapter Nine. Step 9: Extract/Transform/Load Design Chapter Ten. Step 10: Meta Data Repository Design Chapter Eleven. Step 11: Extract/Transform/Load Development Chapter Twelve.

Depending on the requirements for data cleansing and data transformation developed during Step 5, Data Analysis, and Step 9, ETL Design, an ETL tool may or may not be the best solution. In either case, preprocessing the data and writing extensions to supplement the capabilities of the ETL tool is frequently required. Step 12: Application Development Once the prototyping effort has firmed up the functional requirements, true development of the access and analysis application can begin. Developing the application can be a simple matter of finalizing an operational prototype, or it can be a more involved development effort using different, more robust access and analysis tools.

Step 13: Data Mining Many organizations do not use their BI decision-support environment to the fullest extent. BI applications are often limited to prewritten reports, some of which are not even new types of reports but replacements of old reports. The real payback comes from the information hidden in the organization's data, which can be discovered only with data mining tools. Step 14: Meta Data Repository Development If the decision is made to build a meta data repository rather than to license one, a separate team is usually charged with the development process.

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