Top Best Business Intelligence Books to Read
#1. Data Analytics for Beginners: Your Ultimate Guide to Learn And Master Data Analysis. Get Your Business Intelligence Right – Accelerate Growth and Close More Sales by Victor Finch
While this book concentrates mostly on BI knowledge for total novices, it takes a novel perspective to the subject and provides nuggets of useful information to readers at all levels.
The insights provided inside this fantastic resource not only dive into the necessity of adopting digital data for long-term commercial success but also give a well-balanced combination of suggestions and ideas to help you maximize your ROI via all of your BI activities and projects.
You can purchase this book on amazon.
#2. Performance Dashboards – Measuring, Monitoring, And Managing Your Business by Wayne Eckerson
This product by Wayne Eckerson outlines everything connected to business dashboards and is one of the best BI publications to help you build a data-driven corporate culture. Wayne gives an overview on how to set up and manage a real-world company dashboard’s performance. This book will be especially beneficial to technical operators or business managers who are responsible for the performance of their team. It’s for data-driven individuals, and by reading it, you’ll be allowing Eckerson to assist you in fine-tuning your communication approach. He is aware of the technical and sociological implications of implementing BI software throughout an organization. If you’re a datapine user, you’re probably relieved to be free of these aches and pains.
#3. Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking by Foster Provost & Tom Fawcett
This thorough business analytics book guides you through the analytical procedure for deriving valuable knowledge and business value from the statistics you collect, as well as the fundamental concepts of data science. It’s chock-full of real-world examples, so brush up on your high-school arithmetic abilities and be ready to follow a constant stream of data-driven reasoning. This post covers success stories of prominent organizations using data science to solve significant business problems, as well as how data science technologies helped them do so.
#4. Data Strategy: How to Profit from A World of Big Data, Analytics and The Internet of Things by Bernard Marr
Today, less than 0.5 percent of all data gets evaluated and used, as per this book. That’s incredible. While many company executives remain skeptical about the use of big data in their operations, this book has the potential to alter their views.
This is one of the definitive business intelligence and analytics books of the contemporary day, delving deep into how to develop a long-term BI plan while gathering and analyzing large data in the most efficient way possible.
#5. Big Data Demystified: How to Use Big Data, Data Science and AI to Make Better Business Decisions and Gain Competitive Advantage by David Stephenson PhD
Big data is a big part of business intelligence, and David Stephenson Ph.D.’s 2018 edition is a results-driven handbook with equal parts curiosity, inspiration, and practical ideas adapted to today’s information-rich world, one of the best business analytics books of the present.
You’ll not only understand how to manage big data and utilize it to improve your daily operations, but you’ll also have access to a number of case studies that will put all of the tips, approaches, and concepts 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 great book on business analytics will teach you the foundations of how to make professional visuals that highlight vital data-driven insights in a simple, succinct, and easy-to-read manner. Simply said, it’s fantastic, especially if you’re an internet marketer or somebody who often works with huge datasets for marketing reports. Instead of focusing on how to make charts seem dazzling, the book focuses on how to make your visualizations clear, useful, and relevant.
#7. Too Big to Ignore: The Business Case for Big Data by Phil Simon
Too Big to Ignore provides a fantastic introduction to the subject. Rather than laying out analytic methodologies, this business intelligence book illustrates how big data works in a straightforward, understandable, and practical manner.
You’ll discover why big data is such a huge problem and why it’s critical for businesses to understand how to use it in their day-to-day operations.
#8. Business Intelligence for Dummies by Swain Scheps
This best-selling BI book does exactly what it says it will: it provides a reliable reference for people new to the area who are searching for invaluable practical information.
This great best-selling book on BI can help you pick the correct technology to meet your BI-based objectives, aspirations, and wants by taking a step-by-step approach to learning. Furthermore, key skills such as comprehending core concepts, planning, establishing your BI plan, generating effective roadmaps, and more will be taught here. There’s no jargon, just sensible guidance from one of the greatest books on BI in the world.
#9. Successful Business Intelligence, Second Edition: Unlock the Value Of BI & Big Data by Cindi Howson
The study developed by its writer, Cindi Howson, a Research Vice President at Gartner and an expert BI analyst, identified the analytical techniques employed by the industry’s largest players, which gives this most informative of business intelligence books its uniqueness. It is not a theoretical article, but rather a narrative based on real-world BI methods. Because each organization requires a unique BI deployment, and there is no one-size-fits-all approach, this useful BI book demonstrates a variety of successful methods to business intelligence.
#10. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications by Larissa T. Moss & Shaku Atre
This book, unlike the other BI publications on our list, does not explain big data to its audience or provide solutions to design-based challenges. The writers, on the other hand, present a beneficial action plan in this book that will assist you in evolving your company processes by using the power of data.
The book’s format invites users to use the book’s findings right immediately (nearly in real-time) and create their own business intelligence plan. Each chapter delves into a distinct aspect of a business intelligence project, providing practical elements such as project flow charts, project responsibilities, and the risks associated with each phase.
Since business intelligence is a topic that applies to a wide range of sectors, these books can help you improve your knowledge of the data your company gathers and the technologies used to handle it, regardless of your industry. Big data and business intelligence are becoming more important resources for businesses, which should come as no surprise. To thrive in virtually every industry, businesses must gather, understand, and convey a story using data. Organizations may utilize BI technologies to acquire data from both internal and external operations and store, analyze, and analyze it.
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