确保数据仓库实现失败的10个原则

Adam Hill, Thilini R. Ariyachandra, M. Frolick
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引用次数: 8

摘要

业界对商业智能解决方案的需求持续以创纪录的速度增长,以应对竞争压力并实现业务敏捷性。然而,组织仍然在如何实现成功的商业智能解决方案上苦苦挣扎。尽管它作为一个领域越来越受欢迎和成熟,但组织似乎遵循了一些关键的指导方针,这些指导方针确保了其业务智能实现的失败。本文强调了组织遵循的确保其BI解决方案失败的十大原则,并在此过程中描述了如何在BI解决方案的策略和设计、实施管理和沟通以及技术和资源投资方面避免BI失败。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
10 Principles to Ensure Your Data Warehouse Implementation is a Failure
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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