Kindly note that we have put a lot of effort into researching the best books on Business Analytics subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Business Analytics" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
|1. “Fundamentals of Business Analytics” by R N Prasad and Seema Acharya
“Fundamentals of Business Analytics” Book Review: The book primarily focuses on the needs of students of engineering and management background. The book provides introductory knowledge to the students who wish to start a career in business analytics. The syllabus can be easily covered in one semester of college. The book begins with an introductory part, then explains more about the subject through the use of different tools, teaching the initials of few domains focussing on BI and explaining the problems and then their solutions using BI. It explains the complete working of a BI/ Analytics project from covering operational/transactional data sources, data transformation, data mart design-build, analytical reporting, and then finally to dashboards. There is an additional CD provided with the book which is more of a reference manual for students to give them a hands-on practice.
|2. “Business Analytics: Applications To Consumer Marketing” by Sandhya Kuruganti and Hindol Basu
“Business Analytics: Applications To Consumer Marketing” Book Review: The book serves as a ready reference for all the enthusiasts in the field of business analytics. The book provides knowledge about strategic imperatives of analytics, making a customer targeted approach for ease of analytics and explains all this with various case studies and real life examples. The topics covered in the book include one Acquisition, Two Usage Management, Three Cross – Sell, Four Retention Management, Five Pricing, Six Credit Bureau, Seven Quantitative Methods and Eight Analytics Ecosystem. This book gives practical guidance on how analytics is used in modern day industries for driving business decisions.
|3. “Business Analytics: Data Analysis and Decision Making” by S Christian Albright and Wayne L Winston
“Business Analytics: Data Analysis and Decision Making” Book Review: The in-depth content provided in the book will help you become a master of data analysis, data modeling, and using spreadsheet (particularly excel) with this uniquely framed version. The book follows a quantitative methodology while explaining the use of different types of analytical tools with the help of various user friendly examples. The various examples and tools work best with Excel 2013 but are also compatible with Excel 2010 and 2007. The various data sets, tools and sources provide relevant learning. There is also a reference website which includes various tools and software: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, and allows the user to gain hands-on experience on data analysis; also contains ppt and tutorial videos.
|4. “Business Analytics: An Application Focus” by Halady P
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“Business Analytics: An Application Focus” Book Review: The book is written according to the requirements of students of engineering and management for a course in Business Analytics. The book also includes case studies and real life problems and how analytics is used to solve them. The topics covered in the book include Gap Analysis, Analytical Modelling by Factor and Cluster Analysis, Analytical Modelling by Logistics Regression and Discriminant Analysis, Segmentation of primary target market by Heuristic Modelling such as RFM (recency, frequency, monetary) analysis, Segmentation of target market based on large databases using Decision Tree approaches such as CHAID (Chi-square Automatic Interaction Detection) and other Classification and Regression Trees, Determining Linkages between unobserved constructs such as customer satisfaction and factors leading to it, using Structural Equation Modelling (SEM), Determining relative preferences in consumer perceptions by Conjoint Analysis.
|5. “Business Analytics” by R Evans James
“Business Analytics” Book Review: The book serves as a ready reference for new age business analysts. The book describes the fundamental concepts of business analytics in the modern era and explains the use of several tools in data analysis and how they are important to an organization. After going through the book students will understand the basic principles of business analytics, will be able to work hand-in-hand with analytics professionals and effectively use those tools to interpret analytic models and make decisions for business growth. The book is basically divided into five parts: the first part focuses on basics of business analytics and Microsoft Excel and depicts how to manipulate the data and make simple spreadsheets; the second part focuses on the basic methods and tools of data analysis including statistics, explaining how to represent data visually, probability distributions and data modelling, sampling and estimation and statistical inference; part 3 discusses ways for building and analysing predictive models, making use of regression techniques, simulation, risk analysis and a small introductory part of data mining; part four deals with integral, linear and nonlinear optimization models and various applications; last part explains about philosophies, tools and techniques of decision analysis.
|6. “Practical Business Analytics using SAS: A Hands-On Guide” by Venkat Reddy Konasani and Shailendra Kadre
“Practical Business Analytics using SAS: A Hands-On Guide” Book Review: The book primarily serves as a reference guide to young business enthusiasts coming from the field of management or engineering specially for IT and programming students who want to enter the analytics field. The book teaches on how to analyze the given data effectively in real-life business industries. There are more than 200 solved examples and exercises, including code and ready-to-use datasets for practice. Also there are various case studies that are used to explain SAS to solve complicated problems. The book starts by giving an introduction of the analytics field, tools used and SAS programming. Then it shows how SAS is used in the business field and how to start by programming in SAS by importing data and then manipulating it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance.The book then briefly describes statistics, gives instruction on exploring data, preparing it for analysis, and testing hypotheses. It teaches how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression and time series analysis. The last chapter covers the big data analysis. There are numerous illustrations from banking and other firms which make the principles and methods a lot easier to explain.
|7. “Business Analytics: Concepts and Theories” by Chopra B
“Business Analytics: Concepts and Theories” Book Review: The in-depth content provided in the book will be useful for computer Science and management students of both post-graduation and under-graduation. The book thoroughly explains the technical concepts of the in-demand topic of business analytics. The book covers the overall syllabus of B.Tech., MCA courses of Punjab University, Punjabi University, Punjab technical University and many other major institutions. The topics covered in the book includes: introduction to business intelligence, introduction to business analytics, introduction to data warehousing, data modeling concepts and techniques, data mining and its techniques, application areas of data mining, concepts of mastering data management, delivering BI with Microsoft SQL Server 2012.
|8. “Data science for Business” by Foster Provost
“Data science for Business” Book Review: The book is basically designed for data science enthusiasts who are trying to explore more in the field. The book starts by explaining the basic principles of data science and then explains why “data-analytic thinking” is necessary for deriving key insights from the given dataset and making value of the data. It also explains various data-mining techniques used in today’s world. The theory is well supported by examples from real-world business problems to help students give a better understanding. The content of the book gives you knowledge about how data science fits into an organization and how we can use it for the advantage of the firm. Explains how to treat data as an asset that requires some investment if one needs the real gain, how to approach business problems, how to use data-mining to collect and group good data in the right way and other concepts for extracting something useful from the given data.
|9. “Analytics: Data Science, Data Analysis and Predictive Analytics for Business” by Daniel Covington
“Analytics: Data Science, Data Analysis and Predictive Analytics for Business” Book Review: The book serves as a ready reference for all those who have a management or engineering background and wish to pursue a career in analytics. This book explains how to take advantage of the data from our daily working and make the data a powerful tool that influences a business completely. The contents of this book are developed to explain how data can be used for your advantage to enhance business outcomes. It explains why data is the most powerful tool, how to analyse data to help a business grow and steps involved while performing predictive analysis. Along with regression techniques, machine learning strategies and other risk management tips.
|10. “Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data” by EMC Education Services
“Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data” Book Review: This book covers the numerous activities, methods and tools that are used by data scientists. The content of the book mainly focuses on concepts, principles and real-life applications that are applicable to any industry and business firm. The text is well supported with various examples that one can replicate using open-source software. The book helps you become a part of the data science team, develop a structured approach to data analytics problems, apply various analytic techniques and tools for analyzing big data and prepare for EMC Proven Professional Data Science Certification. Overall the book helps you to discover, analyze, visualize and present data.
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