Book : Business Analytics - Evans, James

-Titulo Original : Business Analytics

-Fabricante :

Pearson

-Descripcion Original:

Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives. New to This EditionNew and Updated for this EditionScreenshots throughout the text are updated for Excel® 2013.The updated design strikes a better balance between the text and the image size.More problems have been added at the end of every chapter.There is a new case on Drout Advertising Research.Content UpdatesNew and Updated for this EditionScreenshots throughout the text are updated for Excel® 2013.The updated design strikes a better balance between the text and the image size.More problems have been added at the end of every chapter.There is a new case on Drout Advertising Research.Content UpdatesChapter 1 has been heavily revised with updated sections and new examples throughoutChapter 2New objective-Use Excel functions for business intelligence queries in databaseNew information on VLOOKUP functionChapter 3New section on Data Visualization with Figures and CapturesNew examples:Data Visualization through formal conditioningExamples of SparklinesUsing SlicersNew Analytics in Practice Box: Driving Business Transformation with IBM Business AnalyticsChapter 4 includes a revised section on the CORREL functionChapter 5New section on Join and Marginal ProbabilityNew example-Applying Probability Rules to Joint EventsChapter 7New section: Confidence Intervals and Hypothesis TestsNew section: Cautions in Using the Chi-Square TestChapter 8New learning objective: List the Common Types of Mathematical Functions Used in Predictive ModelingNew section: Practical Issues in Trendline and Regression ModelingChapter 10New section: Data ExplorationNew example: Using XLMiner to Sample from a WorksheetNew example: A Boxplot for Credit Risk DataChapter 11New learning objective: Use Excel tools to create user-friendly Excel Models and ApplicationsNew section: Spreadsheet Applications in Business AnalyticsNew section: Developing User-Friendly Excel ApplicationsNew example: Using Data ValidationNew example: Using Form Controls for the Outsourcing Decision ModelChapter 13 includes a new example: Multiple Parameter Analysis for the SSC ProblemChapter 14New section: Solver Output and Data VisualizationNew example: Little Investment AdvisersNew section on scalingChapter 16New section: Risk and Variability About the Author James R. EvansProfessor, University of Cincinnati College of BusinessJames R. Evans is professor in the Department of Operations, Business Analytics, and Information Systems in the College of Business at the University of Cincinnati. He holds BSIE and MSIE degrees from Purdue and a PhD in Industrial and Systems Engineering from Georgia Tech.Dr. Evans has published numerous textbooks in a variety of business disciplines, including statistics, decision models, and analytics, simulation and risk analysis, network optimization, operations management, quality management, and creative thinking. He has published over 90 papers in journals such as Management Science, IIE Transactions, Decision Sciences, Interfaces, the Journal of Operations Management, the Quality Management Journal, and many others, and wrote a series of columns in Interfaces on creativity in management science and operations research during the 1990s. He has also served on numerous journal editorial boards and is a past-president and Fellow of the Decision Sciences Institute. In 1996, he was an INFORM