10 Principles to Ensure Your Data Warehouse Implementation is a Failure

10 Principles to Ensure Your Data Warehouse Implementation is a Failure

Adam Hill (The Nielsen Company, USA), Thilini Ariyachandra (Xavier University, USA) and Mark Frolick (Xavier University, USA)
Copyright: © 2011 |Pages: 11
DOI: 10.4018/jbir.2011040103
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Abstract

Demand for business intelligence solutions continues to grow in the industry at record rates to combat competitive pressures and to attain business agility. Still organizations continue to struggle on how to implement successful business intelligence solutions. Despite its growing popularity and maturity as a field, it appears that organizations follow key guidelines that ensure the failure of their business intelligence implementation. This paper highlights ten major principles that organizations follow to ensure the failure of their BI solution and in so doing describes how to avoid BI failure in terms of strategy and design, implementation management and communication, and technology and resource investment for BI solutions.
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Data Warehouse Implementation Failure

Based on past academic and practitioner literature on factors leading to data warehouse success and failure, ten principles emerge as being key factors that lead to data warehousing failure. These principles are organized according to the following three key aspects of the data warehousing project: strategy and design, implementation management and communication, and technology and resource investment.

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