Description

Book Synopsis

For courses on Business Intelligence or Decision Support Systems.
A managerial approach to understanding business intelligence systems.
To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Table of Contents

Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science

Chapter 2 Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization

Chapter 3 Descriptive Analytics II: Business Intelligence and Data Warehousing

Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms

Chapter 5 Predictive Analytics II: Text, Web, and Social Media

Chapter 6 Prescriptive Analytics: Optimization and Simulation

Chapter 7 Big Data Concepts and Tools

Chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics

Business Intelligence A Managerial Approach

    Product form

    A Paperback / softback by Ramesh Sharda, Dursun Delen, Efraim Turban

    £62.69

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    RRP £65.99 – you save £3.30 (5%)

    Order before 4pm today for delivery by Thu 15 Oct 2026.

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      Book details

      Publisher Pearson Education Limited
      Published 27 November 2017
      ISBN-13 9781292220543
      978-1292220543
      ISBN-10 1292220546

      Description

      Book Synopsis

      For courses on Business Intelligence or Decision Support Systems.
      A managerial approach to understanding business intelligence systems.
      To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



      Table of Contents

      Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science

      Chapter 2 Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization

      Chapter 3 Descriptive Analytics II: Business Intelligence and Data Warehousing

      Chapter 4 Predictive Analytics I: Data Mining Process, Methods, and Algorithms

      Chapter 5 Predictive Analytics II: Text, Web, and Social Media

      Chapter 6 Prescriptive Analytics: Optimization and Simulation

      Chapter 7 Big Data Concepts and Tools

      Chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics

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