Library Guide for Business Analytics: Books

The Thirteenth Edition of Business Research Methods reflects a thoughtful revision of a market standard. Students and professors will find thorough and current coverage of all business research topics presented with a balance of theory and practical application.

Fundamental Accounting Principles provides students every advantage as they strive to understand the key concepts of accounting and their role in business. Covering both Financial Accounting and Managerial Accounting, it helps students to develop good decision-making habits as they prepare, analyze and apply accounting information.

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data.

Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals.

Management Information Systems: Managing the Digital Firm provides the most comprehensive overview of information systems used by business firms today, while drawing connections between MIS and business performance.

For courses in database management. A comprehensive text on the latest in database development Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and topics that are critical for the practical success of database professionals.

In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications.

For courses in business, economics, and financial engineering and mathematics.The definitive guide to the derivatives market, updated with contemporary examples and discussions Known as 'the bible' to business and economics professionals and a consistent best-seller, Options, Futures, and Other Derivatives gives readers a modern look at the derivatives market.

With its clear and engaging writing style, Principles of Economics is one of the most popular books on economics available today. Mankiw emphasizes material that you are likely to find interesting about the economy, including real-life scenarios, useful facts, and the many ways economic concepts play a role in the decisions you make every day.

Sustainable Logistics and Supply Chain Managementis the essential guide to the principles and practices of sustainable logistics operations. Based on extensive research, this book covers the whole scope of sustainable logistics. The case studies, with particular attention for use in a teaching context, relate the theoretical concepts to practice and what is happening 'on the ground'.

The market-leading textbook for the course, Winston's OPERATIONS RESEARCH owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire.

This book takes a strategic look at consumer behavior in order to guide successful marketing activities. The Wheel of Consumer Analysis is the organizing factor in the book. The four major parts of the wheel are consumer affect and cognition, consumer behavior, consumer environment, and marketing strategy. Each of these components is the topic of one of the four major sections in the book.

While DMA 2.0 does represent a root and branch update and moves the authors’ thinking on in significant ways―covering new platforms, new metrics, new ways of measuring―its essential common sense and no-nonsense approach remains constant. Chuck and Ken lead marketers clearly and efficiently through the minefield of digital marketing measurement. And they do so with a lightness of touch and absence of jargon so rare in this overhyped, much-misunderstood ecosystem.

Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses.

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more.