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Infographics Powered by SAS

Book Description

Create compelling business infographics with SAS and familiar office productivity tools.

A picture is worth a thousand words, but what if there are a billion words? When analyzing big data, you need a picture that cuts through the noise. This is where infographics come in. Infographics are a representation of information in a graphic format designed to make the data easily understandable. With infographics, you don’t need deep knowledge of the data. The infographic combines story telling with data and provides the user with an approachable entry point into business data.

Infographics Powered by SAS : Data Visualization Techniques for Business Reporting shows you how to create graphics to communicate information and insight from big data in the boardroom and on social media.

Learn how to create business infographics for all occasions with SAS and learn how to build a workflow that lets you get the most from your SAS system without having to code anything, unless you want to! This book combines the perfect blend of creative freedom and data governance that comes from leveraging the power of SAS and the familiarity of Microsoft Office.

Topics covered in this book include:

  • SAS Visual Analytics
  • SAS Office Analytics
  • SAS/GRAPH software (SAS code examples)
  • Data visualization with SAS
  • Creating reports with SAS
  • Using reports and graphs from SAS to create business presentations
  • Using SAS within Microsoft Office
  • Table of Contents

    1. About This Book
    2. About the Author
    3. Acknowledgments
    4. Part 1: Concepts
    5. Chapter 1: Getting Started
    6. Introduction
    7. Infographics Today
    8. The Goal
    9. Chapter 2: Visual Tour of Infographics
    10. Overview
    11. Audience
    12. Power of Infographics
    13. Origins of Infographics
    14. Types of Infographics
      1. Artistic Infographics
      2. Business Infographics
      3. Information Fragments: A Common Subcategory
    15. SAS Sees the Value in Infographics
    16. Chapter 3: Art versus Science
    17. Overview
    18. Audience
    19. Artistic Freedom versus Communication
    20. Traditional Personas
    21. Traditional Outputs
      1. Spreadsheets
      2. Dashboards
      3. Reports
      4. Email
      5. Presentations
      6. Infographics
    22. Flexible Tools
    23. Chapter 4: Changing Technology Landscape
    24. Overview
    25. Audience
    26. Technology
    27. Market Trends for Data Visualization
    28. API Economy and the Age of Analytics
    29. Technology Improvements Continue to Drive Innovation
    30. Chapter 5: General Considerations for Designing Infographics
    31. Overview
    32. Audience
    33. Analytics for Everyone
    34. Data Visualization 101: The Basics
      1. Data Accuracy
      2. Storytelling
    35. Foundations of Visual Perception
    36. Elements of an Infographic
      1. Quantitative: Data-Driven Elements
      2. Subjective: Creative Elements
    37. Designing an Infographic
    38. Designing for Audience
    39. Designing for the Non-designer
    40. Top-Ten Infographic Elements
    41. Infographic Toolkit
    42. Chapter 6: Data to Insight
    43. Overview
    44. Audience
    45. The Challenge: From Data to Insight
      1. Exploring the Requirements Continuum
      2. Exploring the Roles Continuum
    46. Chapter 7: The Platform – a Business Engine
    47. Overview
    48. Audience
    49. SAS and the Analytics Lifecycle
      1. Data: Fuel for Decisions
      2. Discovery: Make Data-Driven Decisions
      3. Deployment: Drive the Business Where It Happens
    50. Part 2: SAS Tools and Worked Examples
    51. Chapter 8: The Tools: Software Used in this Book
    52. Overview
    53. Audience
    54. Tools Overview
    55. SAS Add-In for Microsoft Office
      1. Capability Overview
      2. Typical Use Cases
      3. Tools Used
    56. SAS Visual Analytics
      1. Capability Overview
      2. SAS Visual Analytics Capabilities
      3. Typical Use Cases
      4. Tools Used
    57. SAS Code
      1. Design Intent
      2. Typical Use Cases
      3. Tools Used
    58. SAS Studio
      1. Capability Overview
      2. Typical Use Cases
      3. Tools Used
    59. Chapter 9: Worked Examples
    60. Overview
    61. Audience
    62. Sample Files
    63. Creative Content
    64. Tools
    65. Ready, Set, Go!
    66. Chapter 10: Example 1: SAS and Microsoft PowerPoint
    67. Overview
    68. Audience
    69. Sample Files
    70. Getting Started with SAS and Microsoft Office
    71. Step Zero: Start with a Mockup Design
    72. Step 1: Open the Template in PowerPoint
    73. Step 2: Connecting to SAS Visual Analytics
    74. Step 3: Deciding What Content to Leverage from SAS
      1. Report 1: The Sales Performance Dashboard
      2. Report 2: Ad Hoc Analysis on Sales Performance
    75. Step 4: Unifying the Content Elements
    76. Step 5: Adding Elements to the Microsoft PowerPoint Document
      1. From the Sales Dashboard: Report 1 Elements
      2. From the Data Exploration: Report 2 Element
    77. Step 6: The Final Touches
    78. Step 7: Share the Infographic
    79. Why Use this Approach?
    80. Examples Gallery
    81. Chapter 11: Example 2: SAS and Microsoft Excel
    82. Overview
    83. Audience
    84. Sample Files
    85. Enhance with Analytics
    86. Step Zero: Create a Strawman Design for the Infographic
    87. Step 1: Using SAS and Microsoft Excel
    88. Step 2: Working with SAS Visual Analytics Report and Microsoft Excel
      1. Step 2a: Insert the Heatmap
      2. Step 2b: Insert the Word Cloud
    89. Step 3: Add the Key Values from SAS Visual Analytics
    90. Step 4: Using a SAS Stored Process inside Microsoft Excel
    91. Step 5: Tell SAS Where to Put the SAS Stored Process Output
    92. Step 6: Move the SAS Stored Process Output to the Desired Location in the Infographic
      1. Using SAS Code Directly inside Microsoft Excel
    93. Step 7: The Final Touches
    94. Step 8: Share the Infographic
    95. Examples Gallery
    96. Chapter 12: Example 3: SAS Visual Analytics Infographic Inspired Dashboards
    97. Overview
    98. Audience
    99. Sample Files
    100. Step 1: Start with Your Idea and Rough Design
    101. Step 2: Explore Your Data
    102. Step 3: Build the Basic Infographic
      1. Sales Performance: Set Up Our Basic Infographic
      2. Top Container
      3. Middle Container
      4. Bottom Container
    103. Step 4: Add some Approachable Analytics
      1. Geo Maps: Bringing Data to Life
      2. Add Some Advanced Analytics
      3. Add Analytics Objects to Examples
    104. Step 5: Add External Graphics
      1. Add Custom Data-Driven Content
      2. Step 5a: Adding the Data-Driven Content: Example using the Condegram
      3. Step 5b: Adding Data-Driven Content: Third-Party Graphic
    105. Step 6: Add Interactivity
      1. Step 6a: Setting Automatic Actions
      2. Step 6b: Adding an Additional Data-Driven Content Object
    106. Step 7: Share the Infographic
    107. Examples Gallery
    108. Chapter 13: Example 4: SAS Code to Create Infographics
    109. Overview
    110. Audience
    111. Sample Files
    112. Using SAS Code for Data Visualization
    113. Example 4.1: Custom Business Infographic Poster
      1. Step 1: Design
      2. Step 2: Required Elements
      3. Step 3: Walking through the Code
      4. Step 4: Run Time
    114. Example 4.2: Social Media Tiles
      1. Step 1: Design
      2. Step 2: Required Elements
      3. Step 3: Walking through the Code
      4. Step 4: Run Time
    115. Examples Gallery
    116. Chapter 14: Where to Go from Here?
    117. Overview
    118. Audience
    119. Which Approach Do I Choose?
    120. Pathways and Training Resources
      1. Free Video Library
      2. "Ask the Experts" Series
      3. SAS YouTube Channel
    121. Future Trends
      1. Open
      2. Motion Infographics
      3. Massive Data
      4. Real-Time Infographics
      5. Age of Automation
      6. Crowd Sourcing / Data for Good
      7. Hyper-Personalization
      8. Evolution of Personal Productivity
    122. Closing Comment
    123. Bibliography
    124. Appendix A: The Data – Why this Data? (Sample Data)
    125. Data Overview
    126. Data Location
    127. Data Enrichment
      1. Geographic Data Items
      2. Other Data Items
    128. Index