Business Intelligence Demystified: Understand and Clear All Your Doubts and Misconceptions About BI
- Length: 312 pages
- Edition: 1
- Language: English
- Publisher: BPB Publications
- Publication Date: 2021-09-25
- ISBN-10: 9391030084
- ISBN-13: 9789391030087
- Sales Rank: #0 (See Top 100 Books)
Clear your doubts about Business Intelligence and start your new journey
KEY FEATURES
- Includes successful methods and innovative ideas to achieve success with BI.
- Vendor-neutral, unbiased, and based on experience.
- Highlights practical challenges in BI journeys.
- Covers financial aspects along with technical aspects.
- Showcases multiple BI organization models and the structure of BI teams.
DESCRIPTION
The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way.
It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts.
The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI.
WHAT YOU WILL LEARN
- Builds a strong conceptual foundation in BI.
- Gives the right perspective and clarity on BI uses, challenges, and architectures.
- Enables you to make the right decisions on the BI structure, organization model, and budget.
- Explains which type of BI solution is required for your business.
- Applies successful BI ideas.
WHO THIS BOOK IS FOR
This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights.
Cover Page Title Page Copyright Page Dedication Page About the Author About the Reviewers Acknowledgement Preface Errata Table of Contents 1. What is Business Intelligence Structure Objectives Introducing BI Real examples of misconceptions about BI Reasons for misconceptions about BI Definition of Business Intelligence Key terms in the definition of BI Working of BI Realities of BI BI is a concept BI doesn’t solve problems on its own Insights from BI is one of the inputs for decision making Ideal BI solutions are rare BI solutions serve a variety of users BI is not always expensive and a multi-year project Demystify coinage of BI Conclusion Points to remember Multiple choice questions Answers Questions 2. Why do Businesses Need BI? Structure Objectives Introducing Walget – A retail chain example Main uses of BI Decision making Business performance management Finding opportunities and identifying problems Processes that support the main uses of BI BI reporting BI reporting versus operational data transfer Analytics Data mining Reporting versus analytics versus data mining in BI Importance of BI Why BI is a must have? Benefits of BI Side benefits of BI Which sectors use BI? Users of BI and purposes Evolution of BI Conclusion Points to remember Multiple choice questions Answers Questions 3. Types of Business Intelligence Structure Objectives BI types based on various parameters BI types based on type of analytics BI types based on types of decisions BI types based on solution hosting BI types based on solution ownership BI types based on type of software license BI types based on data freshness Myths about real-time BI BI types based on sectors BI types based on departments BI types based on BI integration approach Varieties of BI implementation Agile BI Out-of-the-box BI Self-service BI Myths about self-service BI Concluding remarks on SSBI Conclusion Points to remember Multiple choice questions Answers Questions 4. Challenges in Business Intelligence Structure Objectives Main phases in a BI journey Initiation phase Trigger for BI initiatives Implementation phase Live phase Further development Enhancements Maintenance and support Migration Challenges faced in the initiation phase Resistance to the BI initiative Building a good business case for BI Acquiring sponsors and promoters Getting it prioritized Challenges in the implementation phase Data and information challenges People challenges Process challenges Technology challenges Challenges in the live phase Challenges faced by BI users Challenges faced by BI technical team Conclusion Points to remember Multiple choice questions Answers Questions 5. Roles in Business Intelligence Structure Objectives Setting the context Typical BI team structure BI organizational models NGDE SGDE CGCE CGDE BI roles and responsibilities Technical roles in BI Business Intelligence Administrator Business Intelligence Architect Business Intelligence Developer Business Intelligence Quality Assurance Engineer Techno-functional roles in BI Business Intelligence Analyst Business Intelligence Business Analyst BI Analyst vs BI Business Analyst Management roles in BI C-Level Role Head of Business Intelligence Business Intelligence Team Lead Exclusions Data Steward Data Migration Engineer Project Manager Suffixes and Prefixes Conclusion Points to remember Multiple choice questions Answers Questions 6. Financials of Business Intelligence Structure Objectives Cost of BI People cost System cost Total cost of ownership Team options Hardware options Software options ROI for BI ROI for BI – Complex ROI for BI – Simple Examples of saving time ROI for BI – Side benefits Conclusion Points to remember Multiple choice questions Answers Questions 7. Ideas for Success with BI Structure Objectives Ideas for management Approaches BI team setup Ideas for BI teams Approaches Ideas for prioritization Ideas for BI users Unconventional ideas for BI teams Approaches for development Ideas to deal with data quality Conclusion Points to remember Multiple choice questions Answers Questions 8. Introduction to IBI Structure Objectives What is IBI? Points and connections Trigger for IBI How to start with IBI? Generic steps Specific steps Learnings Conclusion Points to remember Multiple choice questions Answers Questions 9. BI Architectures Structure Objectives BI architecture - Explained Examples of BI architecture Data-in-place BI architecture Data repository-based BI architecture Sample BI Architecture Conclusion Points to remember Multiple choice questions Answers Questions 10. Demystify Tech, Tools and Concepts in BI Structure Objectives Technologies and tools Technologies commonly used in BI Tools commonly used in BI Why so many technologies and tools used in BI? Where’s the boundary of BI? DV versus RAP Data visualization tool BI reporting and analytics platform ETL versus ETL Tool Pros of ETL tool over hand coding Cons of ETL tool over hand coding Concepts Concepts commonly used in BI Data mart and data warehouse Data mart Data warehouse Data lake What exactly is data lake? Use cases of data lake Myths about data lake and data warehouse Machine learning usage in BI Conclusion Points to remember Multiple choice questions Answers Questions Abbreviations References Index
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