Business analytics : methods, models, and decisions / James R. Evans, University of Cincinnati.

Includes bibliographical references and index.

Introduction to business analytics -- Analytics on spreadsheets -- Visualizing and exploring data -- Descriptive statistical measures -- Probability distributions and data modeling -- Sampling and estimation -- Statistical inference -- Trendlines and regression analysis -- Forecasting techniques -- Introduction to data mining -- Spreadsheet modeling and analysis -- Monte Carlo simulation and risk analysis -- Linear optimization -- Applications of linear optimization -- Integer optimization -- Decision analysis.

"This book provides undergraduate business students and introductory graduate students with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations, to apply basic business analytics tools in a spread-sheet environment, and to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. We take a balanced, holistic approach in viewing business analytics from descriptive, predictive, and prescriptive perspectives that today define the discipline"-- Provided by publisher.