Business Intelligence and Data Analysis in the Age of AI

Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI’s transformative power to help professionals and newcomers excel in the data era. Whether you're a seasoned professional or new to BI, this book provides...

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Bibliographic Details
Main Author:	Khan, Arshad
Format:	eBook
Language:	English
Published:	Dulles, VA Mercury Learning and Information 2025 Mercury Learning
Series:	MLI Generative AI Series
Subjects:	AI and Data Science AI-Powered Analytics Artificial Intelligence in Business BI Tools and Techniques Business Decision Support Business Intelligence Business Intelligence Strategy Business Intelligence, Data Analysis, AI and Data Science, Data-Driven Decision-Making, Artificial Intelligence in Business, Data Insights, BI Tools and Techniques, AI-Powered Analytics, Modern Business Intelligence, Machine Learning for Business, Ethical AI in Business, Business Intelligence Strategy, Data Visualization, Data Analytics and AI Integration, Business Decision Support COMPUTERS / General Data Analysis Data Analytics and AI Integration Data Insights Data processing Data Visualization Data warehousing Data-Driven Decision-Making Ethical AI in Business Machine Learning for Business Management information systems Modern Business Intelligence Data Analytics and AI Integration Business Intelligence Ethical AI in Business Business Decision Support AI-Powered Analytics Business Intelligence Strategy AI and Data Science Data Insights Data-Driven Decision-Making Artificial Intelligence in Business Business Intelligence, Data Analysis, AI and Data Science, Data-Driven Decision-Making, Artificial Intelligence in Business, Data Insights, BI Tools and Techniques, AI-Powered Analytics, Modern Business Intelligence, Machine Learning for Business, Ethical AI in Business, Business Intelligence Strategy, Data Visualization, Data Analytics and AI Integration, Business Decision Support Modern Business Intelligence Machine Learning for Business BI Tools and Techniques Data Analysis Data Visualization
ISBN:	1501524259, 9781501524257
Online Access:	Get full text
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Table of Contents:

Chapter 7: Data Warehousing --
Chapter 14: Data Visualization --
Chapter 20: AI in BI and Data Analysis: Risks, Ethics, and Future --
Contents --
Chapter 17: Data Analysis: Fundamentals and Analytics --
Chapter 19: AI in BI and Data Analysis --
Preface --
Chapter 9: Extraction, Transformation, and Loading (ETL) --
Chapter 8: Data Lakes --
Chapter 15: Predictive Analytics --
Index
Chapter 1: Introduction to Business Intelligence --
Chapter 12: Reporting in BI --
Chapter 11: R, SQL, and Python --
Chapter 5: Data Integration and Quality --
Chapter 2: Analytics Process and Tools --
Chapter 3: Understanding Data --
Chapter 6: Governance, Security, Privacy, and Ethics --
Frontmatter --
Chapter 16: BI and Data Analysis --
Chapter 18: Data Analysis: Advanced Insights --
Chapter 4: Big Data --
Chapter 10: Data Design --
Chapter 13: Cloud Computing --