10 Best Business Intelligence Books For 2022

Here’s a list of the 10 best business intelligence books you should read by 2022

When you are at home, it can be difficult to keep up with the latest developments and trends in your business. While you should be able to complete your core tasks, it can sometimes become more difficult or delayed to attend skill-building events like seminars or unplanned in-person interactions.

You may need to look for other strategies to enhance your work skills. One alternative is to learn about topics that will help you grow your company and make your job more rewarding.

10 Best Business Intelligence Books for 2022

This article lists top business intelligence (BI) books that will help to refresh your knowledge about the technologies and roles involved.
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#1. Data Analytics for Beginners: The Ultimate Guide to Mastering Data Analysis. Victor Finch: Get your Business Intelligence right – Accelerate Growth, Close More Sales

This book focuses mainly on BI knowledge for complete novices but it offers a unique perspective and useful information for readers of all levels.

This amazing resource provides insight into not only the necessity of digital data adoption for long-term business success but also offers a balanced combination of ideas and suggestions to maximize your ROI through all your BI activities.

#2. Wayne Eckerson – Performance Dashboards – Measuring Monitoring And Managing Your Business

Wayne Eckerson’s product explains everything related to business dashboards. It is one of the most useful BI publications that can help you create a data-driven culture in your company. Wayne provides a detailed overview of how to create and manage real-world company dashboards.

This book is especially useful for technical operators and business managers who are responsible to manage the performance of their teams. Eckerson will assist you in fine-tuning your communication style by writing this book for data-driven people.

Eckerson is well aware of the sociological and technical implications of implementing BI software within an organization. These aches and pains are likely to go away if you are a datapine user.
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#3. Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking by Foster Provost & Tom Fawcett

This comprehensive business analytics book will guide you through the process of obtaining valuable information and business value from the data you collect. It also covers the basic concepts of data science.

This book is full of real-world examples. So brush up on your algebra skills and prepare to continue data-driven reasoning. This article will discuss the success stories of notable organizations that have used data science to solve business problems. It also discusses how data science technology helped them.

#4 Information Strategy: How to Profit From A World of Big Data Analytics, Big Data and The Internet of Things by Bernard Marr

According to this book, today, less than 0.5% of data is evaluated and used. This is amazing. This book could change the minds of many executives in companies who remain skeptical about big data’s use in their operations.

This book is a classic in business intelligence and analytics. It explains how to create a long-term plan for BI and how to analyze large amounts of data efficiently.
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#5. Big Data Demystified by David Stephenson PhD

Big data is an important part of business intelligence. David Stephenson Ph.D.’s 2018 edition of Business Analytics is a results-driven book with equal parts curiosity and inspiration.

Not only will you be able to understand how to use big data to improve your daily operations but also access to case studies that will help put all the concepts, tips, and approaches into context.

#6. The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, And Figures by Dona M. Wong

This book will help you create professional visuals that highlight data-driven insights. It is a great resource for business analytics. It’s a great book, especially for internet marketers or anyone who works with large data sets. The book doesn’t focus on making charts look amazing, but rather on how to make visualizations useful and relevant.
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#7. Too Big for You to Forget: The Business Case of Big Data by Phil Simon

Too Big to ignore is a great introduction to the topic. This business intelligence book demonstrates big data in a simple, understandable, and practical way, rather than explaining analytic methods.

This article will explain why big data is so important and how businesses can use it to improve their day-to-day operations.

#8. Swain Scheps, Business Intelligence for Dummies

This best-selling BI guide does exactly what its title says: It provides a reliable reference for those new to the area and is full of practical, useful information.

This best-selling book about BI will help you choose the right technology to achieve your BI-based goals, aspirations, and needs. It takes a step-by-step approach to learning.

This book will teach you key skills like understanding core concepts, planning, and creating your BI plan. This book is a great resource for anyone interested in BI.
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#9. Cindi Howson: Successful Business Intelligence Second Edition: Unlocking the Value of BI & Big data

Cindi Howson (a Gartner Research Vice President and expert BI analyst) wrote the study. It identified the most important analytical techniques used by industry leaders, giving this book its uniqueness.

This article is not a theoretical one, but a story based on real-world BI techniques. This BI book demonstrates a range of successful business intelligence methods, as each organization has a different BI deployment.

#10. Business Intelligence Roadmap – The Complete Project Lifecycle of Decision-Support Apps by Larissa T. Moss & Shaku Atre

Contrary to other BI publications, this book does not provide big data solutions or explain how to solve design-based problems. This book, however, presents a useful action plan that will help you improve your company’s processes using data.

Its format allows users to access the book’s information immediately and create their business intelligence plans. Each chapter focuses on a specific aspect of business intelligence projects, giving practical details such as project flow charts and project responsibilities.
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Conclusion

These books will help you gain a better understanding of business intelligence, which is an area that can be applied to many industries. Businesses are increasingly relying on big data and business intelligence, so it should not surprise that they have become more important.

Businesses must use data to tell a story and grow in almost every industry. BI technologies can be used by organizations to obtain data from both internal operations and external operations, store it, analyze it, and then analyze it.