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

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£62.69

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RRP £65.99 – you save £3.30 (5%)

Order before 4pm tomorrow for delivery by Sat 10 Jan 2026.

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

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    View other formats and editions of Business Intelligence A Managerial Approach by Ramesh Sharda

    Publisher: Pearson Education Limited
    Publication Date: 27/11/2017
    ISBN13: 9781292220543, 978-1292220543
    ISBN10: 1292220546
    Also in:
    Computing Business applications

    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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