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Microsoft Excel 2013: Data Analysis and Business Modeling

Book Description

Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables—and how to effectively build a relational data source inside an Excel workbook.

Solve real business problems with Excel—and sharpen your edge

  • Summarize data with PivotTables and Descriptive Statistics

  • Explore new trends in predictive and prescriptive analytics

  • Use Excel Trend Curves, multiple regression, and exponential smoothing

  • Master advanced Excel functions such as OFFSET and INDIRECT

  • Delve into key financial, statistical, and time functions

  • Make your charts more effective with the Power View tool

  • Tame complex optimization problems with Excel Solver

  • Run Monte Carlo simulations on stock prices and bidding models

  • Apply important modeling tools such as the Inquire add-in

  • Table of Contents

    1. Microsoft Excel 2013: Data Analysis and Business Modeling
    2. Introduction
      1. What’s new in this edition
      2. What you should know before reading this book
      3. How to use this book
      4. Using the companion content
      5. Acknowledgments
      6. Support & feedback
        1. Errata
        2. We want to hear from you
        3. Stay in touch
    3. 1. Range names
      1. How can I create named ranges?
        1. Using the Name box to create a range name
        2. Creating named ranges by using Create From Selection
        3. Creating range names by using Define Name
        4. Name Manager
      2. Answers to this chapter’s questions
      3. Remarks
      4. Problems
    4. 2. Lookup functions
      1. Syntax of the lookup functions
        1. VLOOKUP syntax
        2. HLOOKUP syntax
      2. Answers to this chapter’s questions
      3. Problems
    5. 3. INDEX function
      1. Syntax of the INDEX function
      2. Answers to this chapter’s questions
      3. Problems
    6. 4. MATCH function
      1. Answers to this chapter’s questions
      2. Problems
    7. 5. Text functions
      1. Text function syntax
        1. The LEFT function
        2. The RIGHT function
        3. The MID function
        4. The TRIM function
        5. The LEN function
        6. The FIND and SEARCH functions
        7. The REPT function
        8. The CONCATENATE and & functions
        9. The REPLACE function
        10. The VALUE function
        11. The UPPER, LOWER, and PROPER functions
        12. The CHAR function
        13. The CLEAN Function
        14. The SUBSTITUTE FUNCTION
      2. Answers to this chapter’s questions
        1. Extracting data by using the Convert Text To Columns Wizard
      3. Problems
    8. 6. Dates and date functions
      1. Answers to this chapter’s questions
      2. Problems
    9. 7. Evaluating investments by using net present value criteria
      1. Answers to this chapter’s questions
      2. Problems
    10. 8. Internal rate of return
      1. Answers to this chapter’s questions
      2. Problems
    11. 9. More Excel financial functions
      1. Answers to this chapter’s questions
      2. CUMPRINC and CUMIPMT functions
      3. Problems
    12. 10. Circular references
      1. Answers to this chapter’s questions
      2. Problems
    13. 11. IF statements
      1. Answers to this chapter’s questions
      2. Problems
    14. 12. Time and time functions
      1. Answers to this chapter’s questions
      2. Problems
    15. 13. The Paste Special command
      1. Answers to this chapter’s questions
      2. Problems
    16. 14. Three-dimensional formulas
      1. Answer to this chapter’s question
      2. Problem
    17. 15. The Auditing tool and Inquire add-in
      1. Answers to this chapter’s questions
      2. Problems
    18. 16. Sensitivity analysis with data tables
      1. Answers to this chapter’s questions
      2. Problems
    19. 17. The Goal Seek command
      1. Answers to this chapter’s questions
      2. Problems
    20. 18. Using the Scenario Manager for sensitivity analysis
      1. Answer to this chapter’s question
      2. Remarks
      3. Problems
    21. 19. The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
      1. Answers to this chapter’s questions
      2. Remarks
      3. Problems
    22. 20. The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions
      1. Answers to this chapter’s questions
      2. Problems
    23. 21. The OFFSET function
      1. Answers to this chapter’s questions
      2. Remarks
      3. Problems
    24. 22. The INDIRECT function
      1. Answers to this chapter’s questions
      2. Problems
    25. 23. Conditional formatting
      1. Answers to this chapter’s questions
      2. Problems
    26. 24. Sorting in Excel
      1. Answers to this chapter’s questions
      2. Problems
    27. 25. Tables
      1. Answers to this chapter’s questions
      2. Problems
    28. 26. Spinner buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes
      1. Answers to this chapter’s questions
      2. Problems
    29. 27. The analytics revolution
      1. Answers to this chapter’s questions
    30. 28. Introducing optimization with Excel Solver
      1. Problems
    31. 29. Using Solver to determine the optimal product mix
      1. Answers to this chapter’s questions
      2. Problems
    32. 30. Using Solver to schedule your workforce
      1. Answer to this chapter’s question
      2. Problems
    33. 31. Using Solver to solve transportation or distribution problems
      1. Answer to this chapter’s question
      2. Problems
    34. 32. Using Solver for capital budgeting
      1. Answer to this chapter’s question
        1. Handling other constraints
        2. Solving binary and integer programming problems
      2. Problems
    35. 33. Using Solver for financial planning
      1. Answers to this chapter’s questions
      2. Problems
    36. 34. Using Solver to rate sports teams
      1. Answer to this chapter’s question
      2. Problems
    37. 35. Warehouse location and the GRG Multistart and Evolutionary Solver engines
      1. Understanding the GRG Multistart and Evolutionary Solver engines
        1. How does Solver solve linear Solver problems?
        2. How does the GRG Nonlinear engine solve nonlinear optimization models?
        3. How does the Evolutionary Solver engine tackle nonsmooth optimization problems?
      2. Answers to this chapter’s questions
      3. Problems
    38. 36. Penalties and the Evolutionary Solver
      1. Answers to this chapter’s questions
      2. Using conditional formatting to highlight each employee’s ratings
      3. Problems
    39. 37. The traveling salesperson problem
      1. Answers to this chapter’s questions
      2. Problems
    40. 38. Importing data from a text file or document
      1. Answer to this chapter’s question
      2. Problems
    41. 39. Importing data from the Internet
      1. Answer to this chapter’s question
      2. Problems
    42. 40. Validating data
      1. Answers to this chapter’s questions
      2. Remarks
      3. Problems
    43. 41. Summarizing data by using histograms
      1. Answers to this chapter’s questions
      2. Problems
    44. 42. Summarizing data by using descriptive statistics
      1. Answers to this chapter’s questions
        1. Using conditional formatting to highlight outliers
      2. Problems
    45. 43. Using PivotTables and slicers to describe data
      1. Answers to this chapter’s questions
        1. Remarks about grouping
      2. Problems
    46. 44. The Data Model
      1. Answers to this chapter’s questions
      2. Problems
    47. 45. PowerPivot
      1. Answers to this chapter’s questions
      2. Problems
    48. 46. Power View
      1. Answers to this chapter’s questions
      2. Problems
    49. 47. Sparklines
      1. Answers to this chapter’s questions
      2. Problems
    50. 48. Summarizing data with database statistical functions
      1. Answers to this chapter’s questions
      2. Problems
    51. 49. Filtering data and removing duplicates
      1. Answers to this chapter’s questions
      2. Problems
    52. 50. Consolidating data
      1. Answer to this chapter’s question
      2. Problems
    53. 51. Creating subtotals
      1. Answers to this chapter’s questions
      2. Problems
    54. 52. Charting tricks
      1. Answers to this chapter’s questions
      2. Problems
    55. 53. Estimating straight-line relationships
      1. Answers to this chapter’s questions
      2. Problems
    56. 54. Modeling exponential growth
      1. Answer to this chapter’s question
      2. Problems
    57. 55. The power curve
      1. Answer to this chapter’s question
      2. Problems
    58. 56. Using correlations to summarize relationships
      1. Answer to this chapter’s question
        1. Filling in the correlation matrix
        2. Using the CORREL function
        3. Relationship between correlation and R2
        4. Correlation and regression toward the mean
      2. Problems
    59. 57. Introduction to multiple regression
      1. Answers to this chapter’s questions
    60. 58. Incorporating qualitative factors into multiple regression
      1. Answers to this chapter’s questions
    61. 59. Modeling nonlinearities and interactions
      1. Answers to this chapter’s questions
      2. Problems for Chapters 57 and 58
    62. 60. Analysis of variance: one-way ANOVA
      1. Answers to this chapter’s questions
      2. Problems
    63. 61. Randomized blocks and two-way ANOVA
      1. Answers to this chapter’s questions
      2. Problems
    64. 62. Using moving averages to understand time series
      1. Answer to this chapter’s question
      2. Problem
    65. 63. Winters’s method
      1. Time series characteristics
      2. Parameter definitions
      3. Initializing Winters’s method
      4. Estimating the smoothing constants
      5. Remarks
      6. Problems
    66. 64. Ratio-to-moving-average forecast method
      1. Answers to this chapter’s questions
      2. Problem
    67. 65. Forecasting in the presence of special events
      1. Answers to this chapter’s questions
      2. Problems
    68. 66. An introduction to random variables
      1. Answers to this chapter’s questions
      2. Problems
    69. 67. The binomial, hypergeometric, and negative binomial random variables
      1. Answers to this chapter’s questions
      2. Problems
    70. 68. The Poisson and exponential random variable
      1. Answers to this chapter’s questions
      2. Problems
    71. 69. The normal random variable
      1. Answers to this chapter’s questions
      2. Problems
    72. 70. Weibull and beta distributions: modeling machine life and duration of a project
      1. Answers to this chapter’s questions
      2. Problems
    73. 71. Making probability statements from forecasts
      1. Answers to this chapter’s questions
      2. Problems
    74. 72. Using the lognormal random variable to model stock prices
      1. Answers to this chapter’s questions
      2. Remarks
      3. Problems
    75. 73. Introduction to Monte Carlo simulation
      1. Answers to this chapter’s questions
        1. The impact of risk on your decision
        2. Confidence interval for mean profit
      2. Problems
    76. 74. Calculating an optimal bid
      1. Answers to this chapter’s questions
      2. Problems
    77. 75. Simulating stock prices and asset allocation modeling
      1. Answers to this chapter’s questions
      2. Problems
    78. 76. Fun and games: simulating gambling and sporting event probabilities
      1. Answers to this chapter’s questions
      2. Problems
    79. 77. Using resampling to analyze data
      1. Answer to this chapter’s question
      2. Problems
    80. 78. Pricing stock options
      1. Answers to this chapter’s questions
      2. Problems
    81. 79. Determining customer value
      1. Answers to this chapter’s questions
      2. Problems
    82. 80. The economic order quantity inventory model
      1. Answers to this chapter’s questions
      2. Problems
    83. 81. Inventory modeling with uncertain demand
      1. Answers to this chapter’s questions
      2. Problems
    84. 82. Queuing theory: the mathematics of waiting in line
      1. Answers to this chapter’s questions
      2. Problems
    85. 83. Estimating a demand curve
      1. Answers to this chapter’s questions
      2. Problems
    86. 84. Pricing products by using tie-ins
      1. Answer to this chapter’s question
      2. Problems
    87. 85. Pricing products by using subjectively determined demand
      1. Answers to this chapter’s questions
      2. Problems
    88. 86. Nonlinear pricing
      1. Answers to this chapter’s questions
      2. Problems
    89. 87. Array formulas and functions
      1. Answers to this chapter’s questions
      2. Problems
    90. A. About the Author
    91. Index
    92. About the Author
    93. Copyright