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Book synopsis

Business Intelligence Strategy in the Big Data Analytics: A General Management Perspective explains how to deliver competitive advantages and substantial economic benefits by overcoming commonly-encountered barriers to success. It includes lessons learned from leading companies that provide practical ideas for how to use the many different forms of BI to meet key business objectives. Further, it clarifies how BI initiatives are really business initiatives that require business units to change how they use information and analysis to drive and improve business results, particularly profits. Business intelligence (BI) and business analytics are like a Swiss army knife—they can be used in many different ways to achieve many different business purposes. In working with leading companies in a wide range of industries to help them formulate and execute BI strategies and program plans, the author has seen firsthand that these successful companies struggle in two key areas: BI Strategy, which is understanding how they can leverage BI in core business functions such as marketing, sales, customer service, operations, distribution, supplier management, cost improvement, and financial management; and BI Program Execution, which is effectively aligning and executing the diverse workstreams that are critical for achieving a return on investment (ROI), including change management, business process and BI integration, and BI and data warehousing development. Provides ideas for improving the business performance of one’s company or business functionsEmphasizes proven, practical, step-by-step methods that readers can readily apply in their companiesIncludes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Data analysis: general

• Full title: Business Intelligence Strategy and Big Data Analytics
• Subtitle: A General Management Perspective
• Author: Steve Williams
• Language: English
• Binding: Paperback
• Number of pages: 240
• EAN: 9780128091982
• ISBN: 0128091983
• ID: 02945323
• Publisher: Elsevier Science & Technology
• Weight: 412 g
• Dimensions: 155 × 230 × 15 mm
• Date of publishing: 07. April 2016

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