商业智能冠军:以业务为中心的智能目标和财务支持的结果

Irina Dymarsky
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引用次数: 7

摘要

尽管gartner的EXP 2006 CIO调查将商业智能(BI)列为最优先的技术,但BI项目在IT投资组合中面临着来自其他项目的激烈竞争,这些项目承诺更多有形的财务回报(Wu & Weitzman, 2006)。阻止BI项目在投资组合中脱颖而出的两个主要障碍是模糊的需求和薄弱的利益计算。这两个问题都可以通过研究和学习大量的案例研究来解决,这些案例研究证明,在确定和设计BI解决方案时,关注的是具体的、可衡量的、可实现的、面向结果的、有时间限制的SMART业务目标。为了让BI项目在基于财务度量(如ROI)的IT投资组合中竞争,BI倡导者需要以解决特定业务问题为目标进行BI需求收集,并在项目启动后采用标准方法计算BI收益。通过用BI需求和案例研究检查常见的失败,展示成功的BI实现如何转化为组织的切实利益,BI倡导者开发了一个技巧、技巧和经验教训的工具包,用于成功地收集需求、设计、实现和衡量BI计划的业务结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Champion for Business Intelligence: SMART Goals for Business Focused and Financially Backed Results
Although Gartner’s EXP 2006 CIO Survey ranked Business Intelligence (BI) as the top technology priority, BI projects face tough competition from other projects in IT portfolios promising more tangible financial returns (Wu & Weitzman, 2006) Two major hurdles that prevent BI projects from shining in portfolios are vague requirements and weak benefits calculations. Both can be addressed by examining and learning from a number of case studies that prove tangible ROI on BI solutions when scoped and designed with a focus on specific, measurable, achievable, results-oriented, and time bound SMART business goals. In order for BI projects to compete in IT portfolios based on financial measures, like ROI, BI champions need to approach BI requirements gathering with the goal of addressing a specific business problem as well as employ standard ways of calculating BI benefits post project go live. By examining common failures with BI requirements and case studies which demonstrate how successful BI implementations translate into tangible benefits for the organization, BI champions develop a toolkit of tips, tricks, and lessons learned for successful requirements gathering, design, implementation, and measure of business results on BI initiatives.
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