Business Intelligence, Analytics, Data Science, and AI, Global Edition, 5th edition

Published by Pearson (March 13, 2024) © 2024

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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Access details

  • Instant access once purchased
  • 12-month access
  • Offline access via app

Features

  • Real-world cases
  • Embedded videos and media
  • Add notes and highlight
  • Full text audio
  • Enhanced keyword search
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Details

  • A print copy
  • Free shipping

Features

  • Real-world cases
  • Analytics and AI
  • Review questions

This product is expected to ship within 10-12 business days for New Zealand customers.

For 1 or 2-semester courses in business intelligence, data science, business analytics and MIS

Business Intelligence, Analytics, Data Science, and AI helps students understand the business-related impact of artificial intelligence, data science and analytics and prepares them for managerial roles. Vignettes and cases illustrate capabilities and costs of data science and analytics, as used by current businesses, while hands-on practice helps future managers use analytics effectively.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and AI 11th edition and Business Intelligence, Analytics, and Data Science, 4th edition into one textbook, strengthened by 4 all-new chapters that empower future managers to master today's analytics and AI tech, such as ChatGPT.

  • An Overview of Business Intelligence, Analytics, Data Science, and AI
  • Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
  • Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
  • Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization
  • Predictive Analytics I: Data Mining Process, Methods, and Algorithms
  • Predictive Analytics II: Text, Web, and Social Media Analytics
  • Deep Learning and Cognitive Computing
  • Prescriptive Analytics: Optimization and Simulation
  • Landscape of Business Analytics Tools
  • AI-Based Trends in Analytics and Data Science
  • Ethical, Privacy, and Managerial Considerations in Analytics

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