Delivery: Can be download Immediately after purchasing Version: Only PDF Version. Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC) Quality: High Quality. No missing contents. Printable _____________________________________________________________ Authors: James R. Evans (Author) ISBN-13: 978-0321997821 ISBN-10: 0321997824 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 Edition New and Updated for this Edition Screenshots 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 Updates New and Updated for this Edition Screenshots 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 Updates Chapter 1 has been heavily revised with updated sections and new examples throughout Chapter 2 New objective–Use Excel functions for business intelligence queries in database New information on VLOOKUP function Chapter 3 New section on Data Visualization with Figures and Captures New examples: Data Visualization through formal conditioning Examples of Sparklines Using Slicers New Analytics in Practice Box: Driving Business Transformation with IBM Business Analytics Chapter 4 includes a revised section on the CORREL function Chapter 5 New section on Join and Marginal Probability New example–Applying Probability Rules to Joint Events Chapter 7 New section: Confidence Intervals and Hypothesis Tests New section: Cautions in Using the Chi-Square Test Chapter 8 New learning objective: List the Common Types of Mathematical Functions Used in Predictive Modeling New section: Practical Issues in Trendline and Regression Modeling Chapter 10 New section: Data Exploration New example: Using XLMiner to Sample from a Worksheet New example: A Boxplot for Credit Risk Data Chapter 11 New learning objective: Use Excel tools to create user-friendly Excel Models and Applications New section: Spreadsheet Applications in Business Analytics New section: Developing User-Friendly Excel Applications New example: Using Data Validation New example: Using Form Controls for the Outsourcing Decision Model Chapter 13 includes a new example: Multiple Parameter Analysis for the SSC Problem Chapter 14 New section: Solver Output and Data Visualization New example: Little Investment Advisers New section on scaling Chapter 16 New section: Risk and Variability
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