Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability.  It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion.  Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others.  It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.

In recent years, terms like “big data” and “big data analytics” have been introduced into the business and technical lexicon.  Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness.  Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate.  More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.

• Provides ideas for improving the business performance of one’s company or business functions
• Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies

• Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

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• 近年来，像 "大数据 "和 "大数据分析 "这样的术语已经被引入商业和技术词典中。 仔细观察，这些较新的术语与BI一直以来的内容是一样的：分析公司在业务过程中产生和/或购买的大量数据，作为提高盈利能力和竞争力的手段。 因此，我们将在全书中使用BI和商业智能这两个术语，并将酌情讨论大数据等较新的概念。 更广泛地说，本书的目标是分享方法和意见，以帮助企业实现BI的成功，从而增加收入，降低成本，或两者兼而有之。
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• 为提高公司或业务职能部门的业务绩效提供思路
• 强调经过验证的、实用的、循序渐进的方法，读者可以随时在自己的公司中应用。
• 包括练习和案例研究，以及关于制定商业智能战略和项目计划的经过验证的建议。