Business Analytics 2nd Edition Evans Pearson

Master data-driven decision making with Business Analytics, 2nd Edition by James R. Evans. Covers descriptive, predictive & prescriptive analytics with practical Excel focus.

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eBook Details
Author James R. Evans
ISBN-13 9780321997821
Published 2016
Format Digital Download (PDF/EPUB)
Language English
Publisher Pearson Education, Inc.
ISBN-10 0321997824
Edition SECOND EDITION
File Size 32.8 MB
Pages 653

$11.99$21.00

About This Book

Why This Book Matters

In today’s data-driven business environment, professionals and students alike face a critical challenge: how to transform raw data into actionable decisions. Business Analytics, Second Edition by James R. Evans directly addresses this gap, providing a structured framework for applying statistical and quantitative analysis to solve real-world organizational problems. Without this foundational knowledge, decision-makers risk relying on intuition rather than evidence, leading to costly errors and missed opportunities.

This text equips readers with the core competencies needed to navigate the modern analytics landscape, from descriptive to prescriptive techniques. It is designed for those who need a practical, application-oriented approach rather than a purely theoretical treatment.

What Is Business Analytics 2nd Edition Evans Pearson? A Complete Overview

Business Analytics is the systematic use of data, statistical analysis, and quantitative models to drive business decisions and improve performance. James R. Evans’s Business Analytics, Second Edition serves as a comprehensive introduction to this interdisciplinary field, covering the entire analytics lifecycle from data collection and visualization to predictive modeling and optimization.

Published by Pearson Education, Inc. in 2016, this edition builds on core principles with updated examples and a focus on practical implementation. The book integrates concepts from statistics, management science, and information systems, making it a versatile resource for undergraduate and graduate courses in business analytics, as well as for professionals seeking to upskill.

Who Should Read This Book?

This book is ideally suited for a range of audiences who need a clear, applied understanding of analytics. It is particularly valuable for:

  • Undergraduate business students enrolled in introductory analytics, statistics, or decision modeling courses.
  • MBA candidates who require a practical grounding in data-driven decision-making without advanced mathematical prerequisites.
  • Early-career professionals in roles such as business analyst, data analyst, operations analyst, or marketing analyst.
  • Managers and executives who need to interpret analytics outputs and lead data-informed teams.
  • Self-learners looking for a structured, textbook-based introduction to the field.

Skills You Will Gain

This text systematically builds proficiency across the analytics spectrum. By working through the chapters, you will gain the ability to:

  • Frame business problems analytically and identify the appropriate data and methods for solving them.
  • Apply descriptive analytics techniques, including data visualization, dashboards, and summary statistics, to understand historical performance.
  • Use predictive analytics methods such as regression analysis, time series forecasting, and data mining to anticipate future trends.
  • Implement prescriptive analytics models, including linear programming, simulation, and decision analysis, to recommend optimal actions.
  • Leverage spreadsheet tools (Microsoft Excel) for data analysis, modeling, and optimization tasks commonly encountered in business.
  • Interpret and communicate analytical results effectively to stakeholders with varying levels of technical expertise.
  • Evaluate the ethical and practical implications of data-driven decisions in organizational contexts.

Why Choose This Edition

Unlike many textbooks that focus exclusively on statistical theory or require advanced programming skills, Business Analytics, Second Edition strikes a unique balance between conceptual clarity and practical application. It emphasizes spreadsheet-based analytics, making it accessible to students and professionals who are not yet proficient in specialized software like R or Python.

Compared to more mathematically dense texts such as Statistics for Business and Economics by Anderson et al., Evans’s book prioritizes decision-making frameworks over formula derivation. It also integrates real-world case studies and examples that span marketing, finance, operations, and supply chain management, providing a broader business context than narrowly focused analytics titles. This combination of accessibility, breadth, and relevance gives it a clear advantage for learners seeking a foundational yet comprehensive analytics education.

About the Author

James R. Evans is a respected academic and author in the field of quantitative methods and operations management. With decades of experience teaching business analytics and statistics at the university level, he brings both scholarly rigor and practical teaching insight to this text. His previous works on quality management, simulation, and decision modeling further establish his expertise in the domain.

The book is published by Pearson Education, Inc., a globally recognized leader in educational publishing. Pearson’s rigorous peer-review process and commitment to pedagogical excellence ensure that the content is accurate, current, and aligned with industry standards. The Second Edition (2016) reflects ongoing refinements based on instructor and student feedback, reinforcing its reliability as a teaching and learning resource.

Final Assessment

Yes. For anyone seeking a clear, applied, and well-structured introduction to business analytics, this textbook is a strong investment. It delivers on its promise of teaching fundamental concepts while equipping readers with immediately usable tools. The emphasis on spreadsheet-based analysis lowers the barrier to entry, making it ideal for students and professionals who need to start applying analytics quickly.

While some advanced topics may require supplementary resources, the breadth of coverage across descriptive, predictive, and prescriptive analytics provides a solid foundation for further study or career application. The integration of real-world examples and end-of-chapter exercises reinforces learning and builds practical confidence.

Download Business Analytics 2nd Edition Evans Pearson Now

Whether you are a student preparing for a career in analytics or a professional seeking to enhance your decision-making skills, Business Analytics, Second Edition by James R. Evans offers the structured, practical knowledge you need. This 2016 edition from Pearson remains a trusted resource in business analytics education. Add to cart now and start building the analytical skills that drive success in today’s competitive business landscape.