Paperback, CSPI TAGS: BIA5000
Foundations of Business Analytics provides fundamental knowledge for business analytics students and professionals, starting from an understanding of the basic concepts of data, information, knowledge, and data life cycle and progressing to the management of analytics projects, the analytics architecture of an enterprise, and classification of analytics solutions.
Written by a leading expert in business analytics, this essential text is enriched with references to key business analysis concepts, such as the importance of solving the right problem and analyzing stakeholder requirements to develop successful analytics solutions. Structured as a solid foundation for those new to the field of business analytics, this text provides the perfect entry point for students, the opportunity for professionals to upskill, or for managerial professionals to gain a better understanding of the value, benefits, and success factors of analytics.
Foundations of Business Analytics is an essential resource for a wide audience including business, IT, and data science programs at North American colleges and universities that have courses focusing on introduction to business analytics, data analytics, or big data.
FEATURES
- The text is visually rich, including original images and figures created by the author, suitable for use in lecture slides
- Robust instructor resources include a long-running case study project assignment with a checklist, test bank, discussion questions, and PowerPoint slides
- Pedagogical features include chapter overviews and summaries, practical boxes throughout, questions for critical thought, test your knowledge quizzes, and recommended reading appendices
Chapter 1: Understanding Data
Chapter 2: Data Management in an Enterprise
Chapter 3: Business Analytics and Its Applications
Chapter 4: Types of Analytics
Chapter 5: Business Intelligence with Descriptive Analytics
Chapter 6: Advanced Analytics
Chapter 7: Business Analytics Life Cycle
Chapter 8: Analytics Architecture
Chapter 9: Business Analytics Solutions
Chapter 10: How to Deliver Analytics Solutions
Chapter 11: Analytics in Enterprise Context
Chapter 12: Analytics Careers
Appendices
Appendix A: Data Storage Units
Appendix B: Technology and Tools Overview
Appendix C: PIPEDA Fair Information Principles
Appendix D: Test Questions Answer Key
Index