Business Analytics / Business Intelligence Books
Last Updated :
21 Aug, 2024
Blog Author :
Edited by :
Ashish Kumar Srivastav
Reviewed by :
Dheeraj Vaidya, CFA, FRM
Business Analytics / Business Intelligence Books [Updated 2024]
Business analytics simplifies the collected data and amplifies its value. Every business has to deal with tons of data and make decisions based on such data. Below is the list of books on business analytics and intelligence to read in the year 2024:
- Data Analytics: The Ultimate Beginner’s Guide to Data Analytics ( Get this book )
- Data Analytics: Become A Master In Data Analytics ( Get this book )
- Business Intelligence for Dummies ( Get this book )
- Predictive Analytics for Dummies ( Get this book )
- Business Analytics ( Get this book )
- Data Strategy ( Get this book )
- Data Science for Business ( Get this book )
- Fundamentals of Machine Learning for Predictive Data Analytics ( Get this book )
- Microsoft Excel Data Analysis and Business Modeling ( Get this book )
- Lean Analytics ( Get this book )
Let us discuss each business analytics and intelligence book in detail and its key takeaways and reviews.
#1 – Data Analytics: The Ultimate Beginner’s Guide to Data Analytics
Author: Edward Mize
Book Review:
The book is a practically compiled guide for beginners in the field by multi-time best-selling information technology and mathematics author Edward Mize. Mize possesses the ability to teach the so-called hard topics of business analytics in the easiest way possible. With this book’s help, you will learn data analytics and its implementation according to your business needs.
Key Takeaways:
- Learn data analytics in the most simplified version.
- Get an introduction to various data analytical techniques.
- Use this technique for gaining competitive advantage in your business
#2 – Data Analytics: Become A Master In Data Analytics
Author: Richard Dorsey
Book Review:
The book explains to its readers to work with data analytics most easily. The writer says playing with data is challenging because you have to identify the proper data analytical model considering the situation and the required final outcome. However, with practice, it will become easier to handle.
Key Takeaways
- Analyzing data takes work. Dorsey teaches it most simply.
- Learn to avoid risks and face challenges while working with data.
- Learn business analytics approaches like regression, time series, and decision trees.
#3 – Business Intelligence for Dummies
Author: Swain Scheps
Business Intelligence Book Review:
The book is a best-seller, mostly preferred by people beginning their journey in data analytics. It provides brilliant explanations of the fundamental principles of data science with many real-world examples and hence offers the required practical knowledge. Furthermore, the author took a step-by-step approach to teach complicated business analytics methods.
Key Takeaways from this Best Business Intelligence Book:
- Harness Business-Intelligence (BI) tools for forecasting and decision making.
- Learn fundamental concepts to design and develop your BI strategies.
- Learn to align those BI strategies to achieve the desired goals.
#4 – Predictive Analytics for Dummies
Author: Dr. Anasse Bari, Mohamed Chaouchi and Tommy Jung
Book Review:
The book is on the most important branch of business analytics, which helps companies to predict future trends and possible probabilities. The branch is known as predictive analytics. The book, with examples, teaches us to predict the future outcomes of the business. It also explains the perfect way to apply data visualization tools.
Key Takeaways
- Predictive analysis is useful in advertising, politics, fraud detection, etc.
- The book is not loaded with mathematical and scientific theories.
- Learn tools, techniques, and methods of business analytics, also their proper usage.
- Stepwise, learning from collecting data, its analysis, and its application to make verifiable predictions.
#5 – Business Analytics
Data Analysis and Decision Making
Author: S.Christian Albright and Wayne L. Winston.
Book Review:
The book helps you master data analytics, Excel modeling, and spreadsheet skills. The readers get to learn the tools and techniques of business analytics by going through its quantitative methods, along with various examples. The language of the book is simple and reader-friendly.
Key Takeaways
- Learn MS Excel and its important tools.
- Solve problem sets and go through various case studies.
- The book includes around 1000 problems and about 40 case studies.
- The latest edition is Excel
#6 – Data Strategy
How to Profit from a World of Big Data Analytics and The Internet of Things
Author: Bernard Marr
Business Intelligence Book Review:
The applications of data analytics remain skeptical among many business owners. After reading this book, they will definitely change their minds and create space for a business analyst in their office. The author produces a very interesting fact that the data currently used and analyzed is less than 0.5% globally. The book provides tools to collect big data and analyze it to create productive business intelligence strategies.
Key Takeaways
- Develop your knowledge about Business Intelligence Strategies.
- Observe the role of BA in the present as well as future scenarios.
- Get valuable information about the internet of things.
#7 – Data Science for Business
What You Need to Know About Data Mining and Data-Analytic Thinking
Author: Foster Provost & Tom Fawcett.
Business Intelligence Book Review:
The book is a comprehensive guide to business analytics. It will help create the base for data science by teaching the fundamental principles and their practical application. Book consists of numerous real-world case studies where companies successfully applied business analytics to deal with complex business problems.
Key Takeaways
- Learn predictive modeling, information attributes, and data segmentation.
- Refrain from misleading the book’s title. It uses simplified teachings with examples.
- Use BA techniques to gain a competitive advantage in your company.
#8 – Fundamentals of Machine Learning for Predictive Data Analytics
Algorithms, Worked Examples & Case Studies
Author: Aoife D’Arcy Brian Mac.Namee & John D.Kelleher.
Book Review:
The book covers almost every important machine learning approach applicable to the predictive analysis of data science. Four concepts of machine learning in the book are 1. Information-based learning, 2. Similarity-based learning, 3. Probability-based learning, and 4. Error-based learning.
Key Takeaways
- Learn the four important approaches to business analytics.
- The approaches are in a non-technical manner.
- Apply these approaches to perform predictive analysis.
#9 – Microsoft Excel Data Analysis and Business Modeling
Author: Wayne L. Winston.
Book Review:
The book is a comprehensive reference for mastering data analysis and business modeling skills using MS Excel.
Key Takeaways
- Master both fundamental and advanced tools of Excel.
- Learn financial, statistical, and time functions.
- Visualize data effectively using power view in excel
#10 – Lean Analytics
Use Data to Build a Better Startup
Author: Alistair Croll & Benjamin Yoskovitz.
Book Review:
As the title suggests, the book helps you to build a better start-up with the help of business analytics. Marc Anderson once said about start-ups that “your biggest risk is building something nobody wants.”
Key Takeaways
- Take your start-up from a mere idea to an in-demand product.
- Covers more than 30 real-life case studies.
- Includes interviews with successful startup entrepreneurs and investors.
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