Test Bank for Business Intelligence Analytics and Data Science A Managerial Perspective 4th edition by Ramesh Sharda, Dursun Delen, Efraim Turban ISBN 0134635248 9780134635248

Test Bank for Business Intelligence Analytics and Data Science A Managerial Perspective 4th edition by Ramesh Sharda, Dursun Delen, Efraim Turban- Ebook PDF Instant Download/Delivery: 0134635248,  9780134635248
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Product details:

ISBN 10: 0134635248
ISBN 13: 9780134635248
Author: Ramesh Sharda, Dursun Delen, Efraim Turban

  This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. 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.

Business Intelligence Analytics and Data Science A Managerial Perspective 4th Table of contents:

Chapter 1: An Overview of Business Intelligence, Analytics, and Data Science
1.1: Opening Vignette: Sports Analytics—An Exciting Frontier for Learning and Understanding Applications of Analytics

• Example 1: The Business Office

• Example 2: The Coach

• Example 3: The Trainer

• Questions About These Examples

• What Can We Learn from These Vignettes?
  1.2: Changing Business Environments and Evolving Needs for Decision Support and Analytics

• Section 1.2 Review Questions
  1.3: Evolution of Computerized Decision Support to Analytics/Data Science

• Section 1.3 Review Questions
  1.4: A Framework for Business Intelligence

• Definitions of BI

• A Brief History of BI

• The Architecture of BI

• The Origins and Drivers of BI

• Transaction Processing vs. Analytic Processing

• Real-Time, On-Demand BI Is Attainable

• Developing or Acquiring BI Systems

• Justification and Cost–Benefit Analysis

• Security and Protection of Privacy

• Integration of Systems and Applications

• Section 1.4 Review Questions
  1.5: Analytics Overview

• Descriptive Analytics

• Predictive Analytics

• Prescriptive Analytics

• Analytics Applied to Different Domains

• Analytics or Data Science?

• Section 1.5 Review Questions
  1.6: Analytics Examples in Selected Domains

• Analytics Applications in Healthcare—Humana Examples

• Analytics in the Retail Value Chain

• Section 1.6 Review Questions
  1.7: A Brief Introduction to Big Data Analytics

• What Is Big Data?

• Section 1.7 Review Questions
  1.8: An Overview of the Analytics Ecosystem

• Data Generation Infrastructure Providers

• Data Management Infrastructure Providers

• Data Warehouse Providers

• Middleware Providers

• Data Service Providers

• Analytics-Focused Software Developers

• Reporting/Descriptive Analytics

• Predictive Analytics

• Prescriptive Analytics

• Application Developers: Industry Specific or General

• Analytics Industry Analysts and Influencers

• Academic Institutions and Certification Agencies

• Regulators and Policy Makers

• Analytics User Organizations

• Section 1.8 Review Questions
  1.9: Plan of the Book
  1.10: Resources, Links, and the Teradata University Network Connection

• Resources and Links

• Vendors, Products, and Demos

• Periodicals

• The Teradata University Network Connection

• The Book’s Web Site

• Chapter Highlights

• Key Terms

• Questions for Discussion

• Exercises

• Teradata University Network and Other Hands-On Exercises

• References

Chapter 2: Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
2.1: Opening Vignette: SiriusXM Attracts and Engages a New Generation of Radio Consumers with Data-Driven Marketing

• Business Challenge

• Proposed Solution: Shifting the Vision toward Data-Driven Marketing

• Implementation: Creating and Following the Path to High-Performance Marketing

• Results: Reaping the Benefits

• Questions for the Opening Vignette
  2.2: The Nature of Data

• Section 2.2 Review Questions
  2.3: A Simple Taxonomy of Data

• Section 2.3 Review Questions
  2.4: The Art and Science of Data Preprocessing

• Section 2.4 Review Questions
  2.5: Statistical Modeling for Business Analytics

• Descriptive Statistics for Descriptive Analytics

• Measures of Centrality Tendency

• Measures of Dispersion

• The Shape of a Distribution

• Section 2.5 Review Questions
  2.6: Regression Modeling for Inferential Statistics

• Linear Regression

• Logistic Regression

• Time Series Forecasting

• Section 2.6 Review Questions
  2.7: Business Reporting
  2.8: Data Visualization

• A Brief History of Data Visualization

• Section 2.8 Review Questions
  2.9: Different Types of Charts and Graphs

• Basic Charts and Graphs

• Specialized Charts and Graphs

• Which Chart or Graph Should You Use?

• Section 2.9 Review Questions
  2.10: The Emergence of Visual Analytics

• Visual Analytics

• High-Powered Visual Analytics Environments

• Section 2.10 Review Questions
  2.11: Information Dashboards

• Dashboard Design and Best Practices

• Section 2.11 Review Questions

• Chapter Highlights

• Key Terms

• Questions for Discussion

• Exercises

• Teradata University and Other Hands-on Exercises

• Team Assignments and Role-Playing Projects

• References

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Tags: Ramesh Sharda, Dursun Delen, Efraim Turban, Business Intelligence, Managerial Perspective