| Description |
1 online resource (656 pages) |
| Contents |
Intro -- Title Page -- Copyright page -- Brief Contents -- Contents -- Preface -- About the Author -- Credits -- Part 1: Foundations of Business Analytics -- Chapter 1: Introduction to Business Analytics -- Learning Objectives -- What Is Business Analytics? -- Evolution of Business Analytics -- Impacts and Challenges -- Scope of Business Analytics -- Software Support -- Data for Business Analytics -- Data Sets and Databases -- Big Data -- Metrics and Data Classification -- Data Reliability and Validity -- Models in Business Analytics -- Decision Models -- Model Assumptions |
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Uncertainty and Risk -- Prescriptive Decision Models -- Problem Solving with Analytics -- Recognizing a Problem -- Defining the Problem -- Structuring the Problem -- Analyzing the Problem -- Interpreting Results and Making a Decision -- Implementing the Solution -- Key Terms -- Fun with Analytics -- Problems and Exercises -- Case: Drout Advertising Research Project -- Case: Performance Lawn Equipment -- Chapter 2: Analytics on Spreadsheets -- Learning Objectives -- Basic Excel Skills -- Excel Formulas -- Copying Formulas -- Other Useful Excel Tips -- Excel Functions -- Basic Excel Functions |
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Functions for Specific Applications -- Insert Function -- Logical Functions -- Using Excel Lookup Functions for Database Queries -- Spreadsheet Add-Ins for Business Analytics -- Key Terms -- Problems and Exercises -- Case: Performance Lawn Equipment -- Part 2: Descriptive Analytics -- Chapter 3: Visualizing and Exploring Data -- Learning Objectives -- Data Visualization -- Dashboards -- Tools and Software for Data Visualization -- Creating Charts in Microsoft Excel -- Column and Bar Charts -- Data Labels and Data Tables Chart Options -- Line Charts -- Pie Charts -- Area Charts -- Scatter Chart |
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Bubble Charts -- Miscellaneous Excel Charts -- Geographic Data -- Other Excel Data Visualization Tools -- Data Bars, Color Scales, and Icon Sets -- Sparklines -- Excel Camera Tool -- Data Queries: Tables, Sorting, and Filtering -- Sorting Data in Excel -- Pareto Analysis -- Filtering Data -- Statistical Methods for Summarizing Data -- Frequency Distributions for Categorical Data -- Relative Frequency Distributions -- Frequency Distributions for Numerical Data -- Excel Histogram Tool -- Cumulative Relative Frequency Distributions -- Percentiles and Quartiles -- Cross-Tabulations |
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Exploring Data Using PivotTables -- PivotCharts -- Slicers and PivotTable Dashboards -- Key Terms -- Problems and Exercises -- Case: Drout Advertising Research Project -- Case: Performance Lawn Equipment -- Chapter 4: Descriptive Statistical Measures -- Learning Objectives -- Populations and Samples -- Understanding Statistical Notation -- Measures of Location -- Arithmetic Mean -- Median -- Mode -- Midrange -- Using Measures of Location in Business Decisions -- Measures of Dispersion -- Range -- Interquartile Range -- Variance -- Standard Deviation -- Chebyshev's Theorem and the Empirical Rule |
| Summary |
For undergraduate or graduate business students. A balanced and holistic approach to business analytics 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 experienc |
| Subject |
Industrial management -- Statistical methods
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Business planning.
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Strategic planning.
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Business planning.
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Industrial management -- Statistical methods.
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Strategic planning.
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| Form |
Electronic book
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| ISBN |
9781292095455 |
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1292095458 |
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