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

By: Material type: TextTextPublication details: India ; Person India Education Service, 2021.Edition: 3rd edDescription: 704 pages : illustrations ; 26 cmISBN:
  • 9789390394386
  • 0135231671
Subject(s): DDC classification:
  • 658.4/01 EVA
Contents:
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.
Summary: "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"--
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Holdings
Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 658.4/01 EVA (Browse shelf(Opens below)) Available 46322
Books Institute of Public Enterprise, Library S Campus 658.401 EVA (Browse shelf(Opens below)) Available 46321
Books Institute of Public Enterprise, Library S Campus 658.401 EVA (Browse shelf(Opens below)) Available 46320

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"--

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