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by Irene Tobajas

ISBN13: 9781636513386
Publisher ‏ : ‎ Vibrant Publishers (April 7, 2025)
Format: Hardcover
Pages: 230

Description:

• Explore the core components and evolution of Business Intelligence (BI)
• Learn how to choose and implement the right BI tools for your organization
• Master data visualization techniques for effective communication of insights
• Understand real-world applications of successful BI implementations
• Gain insights into data governance, security, and ethical considerations in BI
• Discover emerging trends and future directions in the field of BI

Enhance your Business Intelligence skills—a crucial mechanism at the forefront of every company’s agenda today!

Here’s an opportunity to deepen your understanding of the modern BI architecture, data management, and visualization best practices. Business Intelligence Essentials You Always Wanted to Know (Business Intelligence Essentials) is the answer to your search for a coherent BI guide. It helps comprehend and implement BI in professional or academic pursuits. It leverages simple illustrations and real-world case studies to explain key BI concepts, tools, and practical applications.

This book delves into different types of analytics, including descriptive, diagnostic, predictive, and prescriptive, providing a well-rounded view of the BI landscape. It provides entrepreneurs, leaders, and professionals with essential guidance to master BI and drive success, making it an invaluable resource across industries.

With its blend of theoretical concepts and hands-on approaches including quiz questions for every Chapter, and practical tools, Business Intelligence Essentials covers the entire spectrum of BI, enabling you to accelerate growth in today's competitive business landscape. It also provides ready-to-use downloadable templates, and online resources for professionals in the field. This book is part of the Self-Learning Management Series designed to help you learn essential management lessons.

Table of Contents:

1 Introduction to Business Intelligence

1.1 What is Business Intelligence?
1.2 Evolution and History of BI
1.3 Business Intelligence vs. Business Analytics
1.4 Importance and Benefits of BI
Chapter Summary
Quiz

2 BI Systems and Their Infrastructure

2.1 Key Components of BI Systems
2.2 Data warehousing: On-Premise vs. Cloud-Based BI systems
Chapter Summary
Quiz

3 BI Tools and Technologies

3.1 Overview of Popular BI Tools
3.2 How to Choose a BI Tool
Chapter Summary
Quiz

4 Descriptive and Diagnostic Analytics

4.1 Introduction to Descriptive Analytics
4.2 Introduction to Diagnostic Analytics
4.3 Creating and Interpreting BI Reports
4.4 Case Studies
Chapter Summary
Quiz

5 Predictive Analytics and Forecasting

5.1 Introduction to Predictive Analytics
5.2 Common Techniques
5.3 Implementing Predictive Models in BI Tools
5.4 Case Studies
Chapter Summary
Quiz

6 Prescriptive Analytics and Optimization

6.1 Introduction to Prescriptive Analytics
6.2 Optimization and Simulation Techniques for BI
6.3 Implementing Prescriptive Models in BI Tools
6.4 Case Studies
Chapter Summary
Quiz

7 Data Visualization in BI

7.1 Why Data Visualization Matters in BI?
7.2 The Cognitive Science Behind Data Visualization in BI
7.3 Types of Data Visualization and Their Applications
7.4 Principles of Effective Data Visualization
7.5 Common Pitfalls and How to Avoid Them
Chapter Summary
Quiz

8 Implementing and Maintaining BI Systems

8.1 BI Project Management and Implementation Strategies
8.2 Change Management and User Adoption
8.3 Challenges and Best Practices in BI Implementation
Chapter Summary
Quiz

9 Data Management in BI

9.1 Data Governance and Quality Management
9.2 Data Security and Data Privacy
Chapter Summary
Quiz

10 Real-world Applications of BI

10.1 Case Studies: Successful BI Implementations
10.2 Emerging Trends and Future Directions
Chapter Summary
Quiz

Case Study 1
Discussion Questions
Case Study 2
Discussion Questions

Links to international organizations related to BI

Here are some reliable ones:

International Institute for Analytics (IIA)

Data Management Association International (DAMA)

TDWI (Transforming Data With Intelligence)

Association for Information Systems (AIS)

International Business Intelligence Foundation (IBIF)

About the Author

Keywords:

Business Intelligence, BI guide, Data Visualization, Predictive Analytics, BI tools, Self-Learning Management, BI security, BI governance, Business Analytics, BI trends

Target Audiences:

Entrepreneurs, Business Analysts, Data Scientists, IT Professionals, MBA Students, Project Managers, Business Consultants, Educators, Researchers, Corporate Trainers

Genres:

Business & Economics, Management, Data Science, Information Technology, Self-Help & Professional Development