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Mitigate Business Intelligence Project Risks With Rule-Based Audits and Proofs-of-Concept

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Successful business intelligence (BI) and data warehouse projects share at least one common characteristic: explicit consideration of risk. BI projects are peppered with risks, from data quality to analytic value and scalability. Furthermore, these risks often bring entire projects to a halt, leaving planners scrambling for cover, sponsors looking for remedies, and budgets wiped out.

This white paper describes two methods for minimizing the risk associated with BI iterations: Rule-Based Audits and Proof-of-Concepts. Independently used, each will help you clarify and better understand risk points associated with your project. Implemented together, they represent a continuum of risk mitigating techniques. Their presence in projects is a demonstration of the professionalism and discipline found only in seasoned, successful BI teams.

Author

Michael L. Gonzales Managing Partner, HandsOn-BI, LLC
Vendor:
Syncsort
Posted:
19 Mar 2007
Published:
01 Mar 2007
Format:
PDF
Type:
White Paper
Language:
English

This resource is no longer available.