Competing on Analytics: Updated, with a New Introduction : The New Science of Winning, Hardback Book

Competing on Analytics: Updated, with a New Introduction : The New Science of Winning Hardback

Description

The New Edition of a Business ClassicThis landmark work, the first to introduce business leaders to analytics, reveals how analytics are rewriting the rules of competition. Updated with fresh content, Competing on Analytics provides the road map for becoming an analytical competitor, showing readers how to create new strategies for their organizations based on sophisticated analytics.

Introducing a five-stage model of analytical competition, Davenport and Harris describe the typical behaviors, capabilities, and challenges of each stage.

They explain how to assess your company's capabilities and guide it toward the highest level of competition.

With equal emphasis on two key resources, human and technological, this book reveals how even the most highly analytical companies can up their game. With an emphasis on predictive, prescriptive, and autonomous analytics for marketing, supply chain, finance, M&A, operations, R&D, and HR, the book contains numerous new examples from different industries and business functions, such as Disney's vacation experience, Google's HR, UPS's logistics, the Chicago Cubs' training methods, and Firewire Surfboards' customization.

Additional new topics and research include: Data scientists and what they doBig data and the changes it has wroughtHadoop and other open-source software for managing and analyzing dataData products--new products and services based on data and analyticsMachine learning and other AI technologiesThe Internet of Things and its implicationsNew computing architectures, including cloud computingEmbedding analytics within operational systemsVisual analyticsThe business classic that turned a generation of leaders into analytical competitors, Competing on Analytics is the definitive guide for transforming your company's fortunes in the age of analytics and big data.

Information

  • Format: Hardback
  • Pages: 320 pages
  • Publisher: Harvard Business Review Press
  • Publication Date:
  • Category: Management decision making
  • ISBN: 9781633693722

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