Business Intelligence and Data Analysis in the Age of AI
Volume in the series
Publisher:Mercury Learning and Information
By: Arshad Khan
Paid access
|May 2025
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction to Business Intelligence
Chapter 2: Analytics Process and Tools
Chapter 3: Understanding Data
Chapter 4: Big Data
Chapter 5: Data Integration and Quality
Chapter 6: Governance, Security, Privacy, and Ethics
Chapter 7: Data Warehousing
Chapter 8: Data Lakes
Chapter 9: Extraction, Transformation, and Loading (ETL)
Chapter 10: Data Design
Chapter 11: R, SQL, and Python
Chapter 12: Reporting in BI
Chapter 13: Cloud Computing
Chapter 14: Data Visualization
Chapter 15: Predictive Analytics
Chapter 16: BI and Data Analysis
Chapter 17: Data Analysis: Fundamentals and Analytics
Chapter 18: Data Analysis: Advanced Insights
Chapter 19: AI in BI and Data Analysis
Chapter 20: AI in BI and Data Analysis: Risks, Ethics, and Future
Index
24 chapters available
PDF ISBN: 978-1-5015-2297-0 | E-Pub ISBN: 978-1-5015-2301-4 | Paperback ISBN: 978-1-5015-2425-7 | DOI: 10.1515/9781501522970
Publisher: Mercury Learning and Information
Copyright owner: © 2025 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2025
Language: English
Pages: 340
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