Table of contents
  1. Story
  2. Slides
    1. Slide 1 OMB Data Visualization Tool Requirements Analysis: SAS
    2. Slide 2 Background
    3. Slide 3 Gartner BI Magic Quadrant: SAS
    4. Slide 4 SAS: Home Page
    5. Slide 5 SAS: Visual Analytics
    6. Slide 6 SAS: Registration
    7. Slide 7 SAS: Full Demo
    8. Slide 8 SAS: Visual Analytics Client
    9. Slide 9 SAS: Data Dictionary Spreadsheet
    10. Slide 10 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    11. Slide 11 SAS Visual Analytics: Knowledge Base
    12. Slide 12 Silver Spotfire: Feature Matrix
    13. Slide 13 SAS Providers for OLE DB: Download
    14. Slide 14 Silver Spotfire: Version Comparison 1
    15. Slide 15 Silver Spotfire: Version Comparison 2
    16. Slide 16 SAS Visual Analytics Data Sets: Spotfire
    17. Slide 17 SAS Example Data Sets: Spotfire
    18. Slide 18 Some Conclusions and Recommendations
  3. Spotfire Dashboard
  4. Slides SAS Visual Analytics: An Overview
    1. Slide 1 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    2. Slide 2 Welcome to SAS Visual Analytics
    3. Slide 3 Content
    4. Slide 4 Overview of The Data
    5. Slide 5 Getting Started In SAS Visual Analytics - The Essentials
    6. Slide 6 Bar Charts - The Basics
    7. Slide 7 Bard Chart - Add a Hierarchy
    8. Slide 8 Using a Hierarchy
    9. Slide 9 Exploring a Heirarchy
    10. Slide 10 Creating a Hierarchy
    11. Slide 11 Filters
    12. Slide 12 Filters - Basic
    13. Slide 13 Filters - Select and Include
    14. Slide 14 Filters - Advanced
    15. Slide 15 Calculations
    16. Slide 16 Calculations - Creating
    17. Slide 17 Calculations - Editing
    18. Slide 18 Geographies
    19. Slide19 Analyzing Geographies 1
    20. Slide 20 Analyzing Geographies 2
    21. Slide 21 Refining Geographies
    22. Slide 22 Crosstab - Getting Started 1
    23. Slide 23 Crosstab - Getting Started 2
    24. Slide 24 Crosstab -Adding Depth
    25. Slide 25 Crosstab - Drill Down with Hierarchies
    26. Slide 26 Crosstab - Creating Totals
    27. Slide 27 Forecast - Getting Started
    28. Slide 28 Forecast Product Sale & Product Cost of Sale
    29. Slide 29 Forecast Created
    30. Slide 30 Forecast Filters
    31. Slide 31 Forecasting Properties
    32. Slide 32 Exporting and Using the Forecast Data
    33. Slide 33 Treemaps - Getting Started 1
    34. Slide 34 Treemaps - Getting Started 2
    35. Slide 35 Exploring Treemaps
    36. Slide 36 Treemaps - More Exploration
    37. Slide 37 Heat Maps - Getting Started 1
    38. Slide 38 Heat Maps - Getting Started 2
    39. Slide 39 Heat Maps - Another Perspective
    40. Slide 40 Heat Maps - Drilling Deeper
    41. Slide 41 Heat Maps - Identifying Problem Areas 1
    42. Slide 42 Heat Maps - Identifying Problem Areas 2
    43. Slide 43 Correlations
    44. Slide 44 Correlation Matrix
    45. Slide 45 Correlation Regression
    46. Slide 46 Correlation with Gross Margin
    47. Slide 47 Correlations - Investigating
    48. Slide 48 Satisfied and Profitable Customers...Buy Which Product?
    49. Slide 49 Gross Margin Ratio - Star Products
    50. Slide 50 Box Plots
    51. Slide 51 Box Plots - Using Them
    52. Slide 52 Box Plots - Refinement
    53. Slide 53 Bubble Plots - Getting Started 1
    54. Slide 54 Bubble Plots - Getting Started 2
    55. Slide 55 Bubble Plots - Getting Started 3
    56. Slide 56 Bubble Plots - Exploring
    57. Slide 57 Bubble Plots - Refining
    58. Slide 58 Bubble Plots - Time Animation
    59. Slide 59 Reporting in SAS Visual Analytics - Getting Started
    60. Slide 60 Reporting in SAS Visual Analytics - The Home Page
    61. Slide 61Reporting in SAS Visual Analytics - Open Sample Report
    62. Slide 62 Reporting in SAS Visual Analytics - The Essentials
    63. Slide 63 Reporting in SAS Visual Analytics - Creating a New Section
    64. Slide 64 Reporting in SAS Visual Analytics - Editing a New Section
    65. Slide 65 Reporting in SAS Visual Analytics - Adding a Pie Chart
    66. Slide 66 Reporting in SAS Visual Analytics - Adding a Line Chart 1
    67. Slide 67 Reporting in SAS Visual Analytics - Adding a Line Chart 2
    68. Slide 68 Reporting in SAS Visual Analytics - Adding a Treemap
    69. Slide 69 Reporting in SAS Visual Analytics - Creating Interaction
    70. Slide 70 Reporting in SAS Visual Analytics - Working with the Report
    71. Slide 71 Reporting in SAS Visual Analytics - Finalizing the Report
    72. Slide 72 Reporting in SAS Visual Analytics - View Reports
    73. Slide 73 Explore!
    74. Slide 74 Insight Toys Company - Data Dictionary 1
    75. Slide 75 Insight Toys Company - Data Dictionary 2
    76. Slide 76 Insight Toys Company - Data Dictionary 3
    77. Slide 77 Insight Toys Company - Data Dictionary 4
    78. Slide 78 Insight Toys Company - Data Dictionary 5
  5. Silver Spotfire Feature Matrix
  6. Silver Spotfire Version Comparison
  7. Research Notes

SAS

Last modified
Table of contents
  1. Story
  2. Slides
    1. Slide 1 OMB Data Visualization Tool Requirements Analysis: SAS
    2. Slide 2 Background
    3. Slide 3 Gartner BI Magic Quadrant: SAS
    4. Slide 4 SAS: Home Page
    5. Slide 5 SAS: Visual Analytics
    6. Slide 6 SAS: Registration
    7. Slide 7 SAS: Full Demo
    8. Slide 8 SAS: Visual Analytics Client
    9. Slide 9 SAS: Data Dictionary Spreadsheet
    10. Slide 10 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    11. Slide 11 SAS Visual Analytics: Knowledge Base
    12. Slide 12 Silver Spotfire: Feature Matrix
    13. Slide 13 SAS Providers for OLE DB: Download
    14. Slide 14 Silver Spotfire: Version Comparison 1
    15. Slide 15 Silver Spotfire: Version Comparison 2
    16. Slide 16 SAS Visual Analytics Data Sets: Spotfire
    17. Slide 17 SAS Example Data Sets: Spotfire
    18. Slide 18 Some Conclusions and Recommendations
  3. Spotfire Dashboard
  4. Slides SAS Visual Analytics: An Overview
    1. Slide 1 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    2. Slide 2 Welcome to SAS Visual Analytics
    3. Slide 3 Content
    4. Slide 4 Overview of The Data
    5. Slide 5 Getting Started In SAS Visual Analytics - The Essentials
    6. Slide 6 Bar Charts - The Basics
    7. Slide 7 Bard Chart - Add a Hierarchy
    8. Slide 8 Using a Hierarchy
    9. Slide 9 Exploring a Heirarchy
    10. Slide 10 Creating a Hierarchy
    11. Slide 11 Filters
    12. Slide 12 Filters - Basic
    13. Slide 13 Filters - Select and Include
    14. Slide 14 Filters - Advanced
    15. Slide 15 Calculations
    16. Slide 16 Calculations - Creating
    17. Slide 17 Calculations - Editing
    18. Slide 18 Geographies
    19. Slide19 Analyzing Geographies 1
    20. Slide 20 Analyzing Geographies 2
    21. Slide 21 Refining Geographies
    22. Slide 22 Crosstab - Getting Started 1
    23. Slide 23 Crosstab - Getting Started 2
    24. Slide 24 Crosstab -Adding Depth
    25. Slide 25 Crosstab - Drill Down with Hierarchies
    26. Slide 26 Crosstab - Creating Totals
    27. Slide 27 Forecast - Getting Started
    28. Slide 28 Forecast Product Sale & Product Cost of Sale
    29. Slide 29 Forecast Created
    30. Slide 30 Forecast Filters
    31. Slide 31 Forecasting Properties
    32. Slide 32 Exporting and Using the Forecast Data
    33. Slide 33 Treemaps - Getting Started 1
    34. Slide 34 Treemaps - Getting Started 2
    35. Slide 35 Exploring Treemaps
    36. Slide 36 Treemaps - More Exploration
    37. Slide 37 Heat Maps - Getting Started 1
    38. Slide 38 Heat Maps - Getting Started 2
    39. Slide 39 Heat Maps - Another Perspective
    40. Slide 40 Heat Maps - Drilling Deeper
    41. Slide 41 Heat Maps - Identifying Problem Areas 1
    42. Slide 42 Heat Maps - Identifying Problem Areas 2
    43. Slide 43 Correlations
    44. Slide 44 Correlation Matrix
    45. Slide 45 Correlation Regression
    46. Slide 46 Correlation with Gross Margin
    47. Slide 47 Correlations - Investigating
    48. Slide 48 Satisfied and Profitable Customers...Buy Which Product?
    49. Slide 49 Gross Margin Ratio - Star Products
    50. Slide 50 Box Plots
    51. Slide 51 Box Plots - Using Them
    52. Slide 52 Box Plots - Refinement
    53. Slide 53 Bubble Plots - Getting Started 1
    54. Slide 54 Bubble Plots - Getting Started 2
    55. Slide 55 Bubble Plots - Getting Started 3
    56. Slide 56 Bubble Plots - Exploring
    57. Slide 57 Bubble Plots - Refining
    58. Slide 58 Bubble Plots - Time Animation
    59. Slide 59 Reporting in SAS Visual Analytics - Getting Started
    60. Slide 60 Reporting in SAS Visual Analytics - The Home Page
    61. Slide 61Reporting in SAS Visual Analytics - Open Sample Report
    62. Slide 62 Reporting in SAS Visual Analytics - The Essentials
    63. Slide 63 Reporting in SAS Visual Analytics - Creating a New Section
    64. Slide 64 Reporting in SAS Visual Analytics - Editing a New Section
    65. Slide 65 Reporting in SAS Visual Analytics - Adding a Pie Chart
    66. Slide 66 Reporting in SAS Visual Analytics - Adding a Line Chart 1
    67. Slide 67 Reporting in SAS Visual Analytics - Adding a Line Chart 2
    68. Slide 68 Reporting in SAS Visual Analytics - Adding a Treemap
    69. Slide 69 Reporting in SAS Visual Analytics - Creating Interaction
    70. Slide 70 Reporting in SAS Visual Analytics - Working with the Report
    71. Slide 71 Reporting in SAS Visual Analytics - Finalizing the Report
    72. Slide 72 Reporting in SAS Visual Analytics - View Reports
    73. Slide 73 Explore!
    74. Slide 74 Insight Toys Company - Data Dictionary 1
    75. Slide 75 Insight Toys Company - Data Dictionary 2
    76. Slide 76 Insight Toys Company - Data Dictionary 3
    77. Slide 77 Insight Toys Company - Data Dictionary 4
    78. Slide 78 Insight Toys Company - Data Dictionary 5
  5. Silver Spotfire Feature Matrix
  6. Silver Spotfire Version Comparison
  7. Research Notes

  1. Story
  2. Slides
    1. Slide 1 OMB Data Visualization Tool Requirements Analysis: SAS
    2. Slide 2 Background
    3. Slide 3 Gartner BI Magic Quadrant: SAS
    4. Slide 4 SAS: Home Page
    5. Slide 5 SAS: Visual Analytics
    6. Slide 6 SAS: Registration
    7. Slide 7 SAS: Full Demo
    8. Slide 8 SAS: Visual Analytics Client
    9. Slide 9 SAS: Data Dictionary Spreadsheet
    10. Slide 10 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    11. Slide 11 SAS Visual Analytics: Knowledge Base
    12. Slide 12 Silver Spotfire: Feature Matrix
    13. Slide 13 SAS Providers for OLE DB: Download
    14. Slide 14 Silver Spotfire: Version Comparison 1
    15. Slide 15 Silver Spotfire: Version Comparison 2
    16. Slide 16 SAS Visual Analytics Data Sets: Spotfire
    17. Slide 17 SAS Example Data Sets: Spotfire
    18. Slide 18 Some Conclusions and Recommendations
  3. Spotfire Dashboard
  4. Slides SAS Visual Analytics: An Overview
    1. Slide 1 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting
    2. Slide 2 Welcome to SAS Visual Analytics
    3. Slide 3 Content
    4. Slide 4 Overview of The Data
    5. Slide 5 Getting Started In SAS Visual Analytics - The Essentials
    6. Slide 6 Bar Charts - The Basics
    7. Slide 7 Bard Chart - Add a Hierarchy
    8. Slide 8 Using a Hierarchy
    9. Slide 9 Exploring a Heirarchy
    10. Slide 10 Creating a Hierarchy
    11. Slide 11 Filters
    12. Slide 12 Filters - Basic
    13. Slide 13 Filters - Select and Include
    14. Slide 14 Filters - Advanced
    15. Slide 15 Calculations
    16. Slide 16 Calculations - Creating
    17. Slide 17 Calculations - Editing
    18. Slide 18 Geographies
    19. Slide19 Analyzing Geographies 1
    20. Slide 20 Analyzing Geographies 2
    21. Slide 21 Refining Geographies
    22. Slide 22 Crosstab - Getting Started 1
    23. Slide 23 Crosstab - Getting Started 2
    24. Slide 24 Crosstab -Adding Depth
    25. Slide 25 Crosstab - Drill Down with Hierarchies
    26. Slide 26 Crosstab - Creating Totals
    27. Slide 27 Forecast - Getting Started
    28. Slide 28 Forecast Product Sale & Product Cost of Sale
    29. Slide 29 Forecast Created
    30. Slide 30 Forecast Filters
    31. Slide 31 Forecasting Properties
    32. Slide 32 Exporting and Using the Forecast Data
    33. Slide 33 Treemaps - Getting Started 1
    34. Slide 34 Treemaps - Getting Started 2
    35. Slide 35 Exploring Treemaps
    36. Slide 36 Treemaps - More Exploration
    37. Slide 37 Heat Maps - Getting Started 1
    38. Slide 38 Heat Maps - Getting Started 2
    39. Slide 39 Heat Maps - Another Perspective
    40. Slide 40 Heat Maps - Drilling Deeper
    41. Slide 41 Heat Maps - Identifying Problem Areas 1
    42. Slide 42 Heat Maps - Identifying Problem Areas 2
    43. Slide 43 Correlations
    44. Slide 44 Correlation Matrix
    45. Slide 45 Correlation Regression
    46. Slide 46 Correlation with Gross Margin
    47. Slide 47 Correlations - Investigating
    48. Slide 48 Satisfied and Profitable Customers...Buy Which Product?
    49. Slide 49 Gross Margin Ratio - Star Products
    50. Slide 50 Box Plots
    51. Slide 51 Box Plots - Using Them
    52. Slide 52 Box Plots - Refinement
    53. Slide 53 Bubble Plots - Getting Started 1
    54. Slide 54 Bubble Plots - Getting Started 2
    55. Slide 55 Bubble Plots - Getting Started 3
    56. Slide 56 Bubble Plots - Exploring
    57. Slide 57 Bubble Plots - Refining
    58. Slide 58 Bubble Plots - Time Animation
    59. Slide 59 Reporting in SAS Visual Analytics - Getting Started
    60. Slide 60 Reporting in SAS Visual Analytics - The Home Page
    61. Slide 61Reporting in SAS Visual Analytics - Open Sample Report
    62. Slide 62 Reporting in SAS Visual Analytics - The Essentials
    63. Slide 63 Reporting in SAS Visual Analytics - Creating a New Section
    64. Slide 64 Reporting in SAS Visual Analytics - Editing a New Section
    65. Slide 65 Reporting in SAS Visual Analytics - Adding a Pie Chart
    66. Slide 66 Reporting in SAS Visual Analytics - Adding a Line Chart 1
    67. Slide 67 Reporting in SAS Visual Analytics - Adding a Line Chart 2
    68. Slide 68 Reporting in SAS Visual Analytics - Adding a Treemap
    69. Slide 69 Reporting in SAS Visual Analytics - Creating Interaction
    70. Slide 70 Reporting in SAS Visual Analytics - Working with the Report
    71. Slide 71 Reporting in SAS Visual Analytics - Finalizing the Report
    72. Slide 72 Reporting in SAS Visual Analytics - View Reports
    73. Slide 73 Explore!
    74. Slide 74 Insight Toys Company - Data Dictionary 1
    75. Slide 75 Insight Toys Company - Data Dictionary 2
    76. Slide 76 Insight Toys Company - Data Dictionary 3
    77. Slide 77 Insight Toys Company - Data Dictionary 4
    78. Slide 78 Insight Toys Company - Data Dictionary 5
  5. Silver Spotfire Feature Matrix
  6. Silver Spotfire Version Comparison
  7. Research Notes

Story

OMB Data Visualization Tool Requirements Analysis: SAS

Slides

Background

  • DRAFT White Paper for OMB Pittsburgh, July 11, 2013.
  • Start With the End in Mind, Avoid Tool and Turf Wars, and Develop Well-designed Spreadsheets That Can be “Dragged and Dropped” Onto a Tool That Creates Statistics and Visualizations in the Public and Private Clouds.
  • Focus on Requirements Analysis by First Comparing Magic Quadrant Leaders and Challengers on Common Data Sets.
  • Spotfire Was Able to Reproduce Birst, Information Builders, Logi Analytics, Microsoft, QlikView, and Tableau Data Visualizations With Dynamically Linked Visualizations.
  • Broaden This Requirements Analysis to Include More Sample Data Sets and Tools.
  • SAS Is a Leader in the Gartner Magic Quadrant.

Gartner BI Magic Quadrant: SAS
SAS Analytics Strengths and Cautions Excerpts

  • SAS's portfolio includes tools in areas such as BI, performance management, data warehousing and data quality; however, unlike most other BI platform vendors, SAS primarily focuses on advanced analytical techniques, such as data mining and predictive modeling, where references acknowledge it as a leader.
  • The solution-oriented analytic application approach to the market is a differentiator, giving the company the advantage of having a wide variety of cross-functional and vertically specific analytic applications out of the box for a wide variety of industries, including financial services, life sciences, retail, communications and manufacturing.
  • In 2012, SAS announced Visual Analytics, the new data discovery product that merges dashboard design with diagnostic analytics and the use of predictive models — a possibility not yet available in some of its competitors' tools. Visual Analytics also provides mobile BI capabilities — a gap that, until now, had been resolved through a partnership with MeLLmo Roambi. Moreover, it is the first visible result of a comprehensive initiative to standardize user interfaces and to better integrate the product portfolio — an area where SAS scores lower than most other vendors in the Magic Quadrant survey. For SAS, it's also a key instrument to reach beyond analytics experts to a more mainstream audience, thereby preventing competitors' data discovery tools from doing so on its customer base.
  • References continue to report that SAS is very difficult to implement and use — it was the No. 3 vendor in both categories.
  • SAS's dominance in predictive analytics and statistics continues to be challenged on many fronts. IBM is still the main challenger with SPSS and other analytic assets, but wide support of open-source R by large competitors, such as Oracle, SAP and other smaller vendors, will be the most serious threat in the long term. R is challenging SAS for the title of standard coding language for analytics, and is increasingly considered a credible alternative by professionals in the market, eroding SAS's dominance in the analytics community. Other vendors, such as Kxen (not included in this Magic Quadrant), Prognoz, Alteryx or Tibco, are additional sources of competition as more customers adopt analytics.
  • Despite SAS's success and awareness as a leader in the predictive analytics space, the company is still challenged to make it onto BI platform shortlist evaluations when predictive analytics is not a primary business requirement.

Note: Bolding by the author to highlight key points.
Source: http://www.gartner.com/technology/re...t=130206&st=sb

Some Conclusions and Recommendations

  • Semantic Community Was Able to Import SAS Files Into Spotfire and Export CSV Files From SAS Visual Analytics and Import Them Into Spotfire.
  • Spotfire Provides Similar Features To SAS Visual Analytics, But the Author Finds Spotfire Much Easier to Use.
  • MindTouch and Spotfire Are More Versatile Than SAS Visual Analytics For Mashups.
  • Semantic Community Will Continue to Use The Gartner BI Magic Quadrant Leader Tools and Their Sample Data Sets and to Recreate Visualizations and Dashboards.

Slides

Slides

Slide 1 OMB Data Visualization Tool Requirements Analysis: SAS

http://semanticommunity.info/
http://breakinggov.com/author/brand-niemann/
http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools/SAS

BrandNiemann07262013Slide1.PNG

Slide 2 Background

BrandNiemann07262013Slide2.PNG

Slide 3 Gartner BI Magic Quadrant: SAS

http://www.gartner.com/technology/re...t=130206&st=sb

BrandNiemann07262013Slide3.PNG

Slide 4 SAS: Home Page

http://www.sas.com/

BrandNiemann07262013Slide4.PNG

Slide 8 SAS: Visual Analytics Client

 http://vatry.ondemand.sas.com/SASVis...plorerApp.jsp#

BrandNiemann07262013Slide8.PNG

Slide 9 SAS: Data Dictionary Spreadsheet

http://semanticommunity.info/@api/deki/files/25244/SAS.xlsx

BrandNiemann07262013Slide9.PNG

Slide 10 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting

http://www.sas.com/software/visual-a...t-Guide-v3.pdf

BrandNiemann07262013Slide10.PNG

Slide 11 SAS Visual Analytics: Knowledge Base

http://semanticommunity.info/Data_Science/Free_Data_Visualization_and_Analysis_Tools/SAS

BrandNiemann07262013Slide11.PNG

Slide 12 Silver Spotfire: Feature Matrix

https://silverspotfire.tibco.com/us/...feature-matrix

BrandNiemann07262013Slide12.PNG

Slide 13 SAS Providers for OLE DB: Download

http://support.sas.com/demosdownload...0343&jmpflag=N

BrandNiemann07262013Slide13.PNG

Slide 14 Silver Spotfire: Version Comparison 1

https://silverspotfire.tibco.com/us/...ion-comparison

BrandNiemann07262013Slide14.PNG

Slide 15 Silver Spotfire: Version Comparison 2

https://silverspotfire.tibco.com/us/...ion-comparison

BrandNiemann07262013Slide15.PNG

Slide 16 SAS Visual Analytics Data Sets: Spotfire

Web Player

BrandNiemann07262013Slide16.PNG

Slide 17 SAS Example Data Sets: Spotfire

 Web Player

BrandNiemann07262013Slide17.PNG

Slide 18 Some Conclusions and Recommendations

BrandNiemann07262013Slide18.PNG

Spotfire Dashboard

For Internet Explorer Users and Those Wanting Full Screen Display Use: Web Player Get Spotfire for iPad App

Slides SAS Visual Analytics: An Overview

Slides

Slide 1 SAS Visual Analytics: An Overview of Powerful Discovery, Analysis and Reporting

SAS-Visual-Analytics-Quickstart-Guide-v3Slide1.png

Slide 2 Welcome to SAS Visual Analytics

http://www.sas.com/technologies/bi/v...analytics.html

SAS-Visual-Analytics-Quickstart-Guide-v3Slide2.png

Slide 3 Content

SAS-Visual-Analytics-Quickstart-Guide-v3Slide3.png

Slide 4 Overview of The Data

SAS-Visual-Analytics-Quickstart-Guide-v3Slide4.png

Slide 5 Getting Started In SAS Visual Analytics - The Essentials

SAS-Visual-Analytics-Quickstart-Guide-v3Slide5.png

Slide 6 Bar Charts - The Basics

SAS-Visual-Analytics-Quickstart-Guide-v3Slide6.png

Slide 7 Bard Chart - Add a Hierarchy

SAS-Visual-Analytics-Quickstart-Guide-v3Slide7.png

Slide 8 Using a Hierarchy

SAS-Visual-Analytics-Quickstart-Guide-v3Slide8.png

Slide 9 Exploring a Heirarchy

SAS-Visual-Analytics-Quickstart-Guide-v3Slide9.png

Slide 10 Creating a Hierarchy

SAS-Visual-Analytics-Quickstart-Guide-v3Slide10.png

Slide 11 Filters

SAS-Visual-Analytics-Quickstart-Guide-v3Slide11.png

Slide 12 Filters - Basic

SAS-Visual-Analytics-Quickstart-Guide-v3Slide12.png

Slide 13 Filters - Select and Include

SAS-Visual-Analytics-Quickstart-Guide-v3Slide13.png

Slide 14 Filters - Advanced

SAS-Visual-Analytics-Quickstart-Guide-v3Slide14.png

Slide 15 Calculations

SAS-Visual-Analytics-Quickstart-Guide-v3Slide15.png

Slide 16 Calculations - Creating

SAS-Visual-Analytics-Quickstart-Guide-v3Slide16.png

Slide 17 Calculations - Editing

SAS-Visual-Analytics-Quickstart-Guide-v3Slide17.png

Slide 18 Geographies

SAS-Visual-Analytics-Quickstart-Guide-v3Slide18.png

Slide19 Analyzing Geographies 1

SAS-Visual-Analytics-Quickstart-Guide-v3Slide19.png

Slide 20 Analyzing Geographies 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide20.png

Slide 21 Refining Geographies

SAS-Visual-Analytics-Quickstart-Guide-v3Slide21.png

Slide 22 Crosstab - Getting Started 1SAS-Visual-Analytics-Quickstart-Guide-v3Slide22.png

Slide 23 Crosstab - Getting Started 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide23.png

Slide 24 Crosstab -Adding Depth

SAS-Visual-Analytics-Quickstart-Guide-v3Slide24.png

Slide 25 Crosstab - Drill Down with Hierarchies

SAS-Visual-Analytics-Quickstart-Guide-v3Slide25.png

Slide 26 Crosstab - Creating Totals

SAS-Visual-Analytics-Quickstart-Guide-v3Slide26.png

Slide 27 Forecast - Getting Started

SAS-Visual-Analytics-Quickstart-Guide-v3Slide27.png

Slide 28 Forecast Product Sale & Product Cost of Sale

SAS-Visual-Analytics-Quickstart-Guide-v3Slide28.png

Slide 29 Forecast Created

SAS-Visual-Analytics-Quickstart-Guide-v3Slide29.png

Slide 30 Forecast Filters

SAS-Visual-Analytics-Quickstart-Guide-v3Slide30.png

Slide 31 Forecasting Properties

SAS-Visual-Analytics-Quickstart-Guide-v3Slide31.png

Slide 32 Exporting and Using the Forecast Data

SAS-Visual-Analytics-Quickstart-Guide-v3Slide32.png

Slide 33 Treemaps - Getting Started 1

SAS-Visual-Analytics-Quickstart-Guide-v3Slide33.png

Slide 34 Treemaps - Getting Started 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide34.png

Slide 35 Exploring Treemaps

SAS-Visual-Analytics-Quickstart-Guide-v3Slide35.png

Slide 36 Treemaps - More Exploration

SAS-Visual-Analytics-Quickstart-Guide-v3Slide36.png

Slide 37 Heat Maps - Getting Started 1

SAS-Visual-Analytics-Quickstart-Guide-v3Slide37.png

Slide 38 Heat Maps - Getting Started 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide38.png

Slide 39 Heat Maps - Another Perspective

SAS-Visual-Analytics-Quickstart-Guide-v3Slide39.png

Slide 40 Heat Maps - Drilling Deeper

SAS-Visual-Analytics-Quickstart-Guide-v3Slide40.png

Slide 41 Heat Maps - Identifying Problem Areas 1

SAS-Visual-Analytics-Quickstart-Guide-v3Slide41.png

Slide 42 Heat Maps - Identifying Problem Areas 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide42.png

Slide 43 Correlations

SAS-Visual-Analytics-Quickstart-Guide-v3Slide43.png

Slide 44 Correlation Matrix

SAS-Visual-Analytics-Quickstart-Guide-v3Slide44.png

Slide 45 Correlation Regression

SAS-Visual-Analytics-Quickstart-Guide-v3Slide45.png

Slide 46 Correlation with Gross Margin

SAS-Visual-Analytics-Quickstart-Guide-v3Slide46.png

Slide 47 Correlations - Investigating

SAS-Visual-Analytics-Quickstart-Guide-v3Slide47.png

Slide 48 Satisfied and Profitable Customers...Buy Which Product?

SAS-Visual-Analytics-Quickstart-Guide-v3Slide48.png

Slide 49 Gross Margin Ratio - Star Products

SAS-Visual-Analytics-Quickstart-Guide-v3Slide49.png

Slide 50 Box Plots

SAS-Visual-Analytics-Quickstart-Guide-v3Slide50.png

Slide 51 Box Plots - Using Them

SAS-Visual-Analytics-Quickstart-Guide-v3Slide51.png

Slide 52 Box Plots - Refinement

SAS-Visual-Analytics-Quickstart-Guide-v3Slide52.png

Slide 53 Bubble Plots - Getting Started 1

SAS-Visual-Analytics-Quickstart-Guide-v3Slide53.png

Slide 54 Bubble Plots - Getting Started 2

SAS-Visual-Analytics-Quickstart-Guide-v3Slide54.png

Slide 55 Bubble Plots - Getting Started 3

SAS-Visual-Analytics-Quickstart-Guide-v3Slide55.png

Slide 56 Bubble Plots - Exploring

SAS-Visual-Analytics-Quickstart-Guide-v3Slide56.png

Slide 57 Bubble Plots - Refining

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Slide 58 Bubble Plots - Time Animation

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Slide 59 Reporting in SAS Visual Analytics - Getting Started

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Slide 60 Reporting in SAS Visual Analytics - The Home Page

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Slide 61Reporting in SAS Visual Analytics - Open Sample Report

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Slide 62 Reporting in SAS Visual Analytics - The Essentials

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Slide 63 Reporting in SAS Visual Analytics - Creating a New Section

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Slide 64 Reporting in SAS Visual Analytics - Editing a New Section

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Slide 65 Reporting in SAS Visual Analytics - Adding a Pie Chart

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Slide 66 Reporting in SAS Visual Analytics - Adding a Line Chart 1

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Slide 67 Reporting in SAS Visual Analytics - Adding a Line Chart 2

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Slide 68 Reporting in SAS Visual Analytics - Adding a Treemap

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Slide 69 Reporting in SAS Visual Analytics - Creating Interaction

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Slide 70 Reporting in SAS Visual Analytics - Working with the Report

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Slide 71 Reporting in SAS Visual Analytics - Finalizing the Report

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Slide 72 Reporting in SAS Visual Analytics - View Reports

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Slide 73 Explore!

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Slide 74 Insight Toys Company - Data Dictionary 1

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Slide 75 Insight Toys Company - Data Dictionary 2

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Slide 76 Insight Toys Company - Data Dictionary 3

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Slide 77 Insight Toys Company - Data Dictionary 4

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Slide 78 Insight Toys Company - Data Dictionary 5

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Detailed feature list

Versions Personal Personal Plus Publisher Analyst
Trial One year One month One month One month
Monthly Subscription na na $99 $399
Annual Subscription na $99 $1000 $4500
Web Sharing Personal Personal Plus Publisher Analyst
Apple® iPad® Compatibility
Public Sharing
Invitation-Only Web Sharing  
Public Content: Max Concurrent Web Viewers 10 20 50 50
Private Content: Max Named Web Viewers 0 2 5 5
Offline Data
Online Storage (MB) 50MB 100MB 250MB 500MB
Online Storage (rows) ~10k ~100k ~1M ~5M
Data Access Personal Personal Plus Publisher Analyst
Replace Data Tool
Load from Microsoft® Excel®, csv, txt
Load SAS files
(Requires installation of
SAS Providers for OLE DB)
Load from Microsoft Access®
Load from Microsoft SQL Server® databases    
Load from Microsoft SQL Server Analysis Services® databases    
Load from OLE DB compatible data sources    
Load from ODBC compatible data sources    
Load from Oracle® databases    
Load from Teradata® databases    
Application Building Tools Personal Personal Plus Publisher Analyst
Create Custom Hierarchy
Capture Private and Public Bookmarks
Action Links    
Multiple Data Tables in One Application    
Data Transformation Tools    
Merge Datasets    
Insert Calculated Column    
Text Area Controls to Switch Axes and Variables    
Tag Data    
Interactive Visualizations Personal Personal Plus Publisher Analyst
Visual Joining of Multiple Data Sources
Embedded Geographic Shape Files
Table
Cross Table
Bar Chart
Line Chart
Bar & Line Chart
Pie Chart
Text Area
Map Chart
Scatter Plot    
3D Scatter Plot      
Treemap    
Graphical Table    
Box Plot      
Heat Map      
Parallel Coordinates Plot      
Summary Table      
Analytic Options and Tools Personal Personal Plus Publisher Analyst
Advanced Calculations
Conditional Coloring Rules
Reference Lines in Plots
Trellis mode
Capture Private Bookmarks
Number Formatting
Multi-Y Scaling
Business Aggregations
Custom Expressions    
Analytic Aggregations      
Lists      
Curve Drawing      
Curve Fitting      
Line Similarity Tool      
K-Means Clustering Tool      
Data Relationships Tool      
Hierarchical Clustering Tool      
Predictive Modeling      
Insert Predicted Columns      
Miscellaneous Personal Personal Plus Publisher Analyst
Allow Data Export by Web User
Print
Export Data
Export to Powerpoint    
Export to PDF    

TIBCO Silver™ Spotfire® client is not for use with other TIBCO Spotfire® deployments. The client may only to be used for connecting to a TIBCO Silver™ Spotfire® server (https://silverspotfire.tibco.com)

Regarding licensing and units, TIBCO Silver™ Spotfire® products are delivered on a Term License basis, client use is per Named User, and web sharing limitations are defined using Concurrent Users for public content and Named Users for private content. Named Client User means a Named User who uses the downloadable and locally installable TIBCO Silver™ Spotfire® client software. Named Web User means a Named User who uses a TIBCO Spotfire® file through a web browser. More details on TIBCO product definitions are available at:http://www.tibco.com/software/productdefinitions.jsp

Questions? Contact mds@tibco.com

Silver Spotfire Version Comparison

* Bold text indicates key upgrade criteria.

Type Personal Personal Plus Publisher Analyst
Price / Term Free for one year $99 /year $99 /month
$1000 /year
$399 /month
$4500/year
Maximum number of Concurrent read-only web users of your public content 10 20 50 50
Maximum number of Named read-only web users to whom you can grant access to your private web content 0 2 5 5
Online Storage for Web Content 50MB (~10k rows) 100MB (~100k rows) 250MB (~1M rows) 500MB (~5M rows)
Web Application Sharing Public only
  • Public
  • Password protected
  • Invitation-only access
  • Public
  • Password protected
  • Invitation-only access
  • Public
  • Password protected
  • Invitation-only access
Data Access MS Excel, MS Access MS Excel, MS Access
  • Microsoft Excel and Access
  • Direct access to databases via OLE DB or ODBC
  • Microsoft Excel and Access
  • Direct access to databases via OLE DB or ODBC
  • Access to Microsoft SQL Server, Oracle MySQL, PostgreSQL, Microsoft SQL Server Analysis Services, Oracle and Teradata
Productivity Replace data tool Replace data tool
  • Replace data tool
  • Multiple datasets in one Spotfire file
  • Reshape and merge datasets
  • Calculated columns
  • Custom expressions
  • Replace data tool
  • Multiple datasets in one Spotfire file
  • Reshape and merge datasets
  • Calculated columns
  • Custom expressions
Application Building Capture Bookmarks Capture Bookmarks
  • Capture Bookmarks
  • Action Links
  • Capture Bookmarks
  • Action Links
Visuals Dashboard visuals
(bar, line, pie, map, cross table)
Dashboard visuals
(bar, line, pie, map, cross table)
  • Dashboard visuals
  • Additional visuals: Scatter Plot, Treemap, Graphical Table)
  • Dashboard visuals
  • 3D Scatterplot
  • Additional Visuals
  • Advanced visuals to manage Big Data: (Heatmap, Parallel Coordinate Plot, Box Plot)
Analytics Filter & Drill Filter & Drill Filter & Drill
  • Filter & Drill
  • Curve fitting, advanced aggregations, and analytic tools for correlation, similarity, and clustering
  • Predictive Modeling and ability to insert predicted columns
Collaboration Capture Private and Public Bookmarks Capture Private and Public Bookmarks
  • Capture Private and Public Bookmarks
  • Tags
  • Lists
  • Capture Private and Public Bookmarks
  • Tags
  • Lists

TIBCO Silver™ Spotfire® client is not for use with other TIBCO Spotfire® deployments.  The client may only to be used for connecting to a TIBCO Silver™ Spotfire® server (https://silverspotfire.tibco.com)

Regarding licensing and units, TIBCO Silver™ Spotfire® products are delivered on a Term License basis, client use is per Named User, and web sharing limitations are defined using Concurrent Users for public content and Named Users for private content. Named Client User means a Named User who uses the downloadable and locally installable TIBCO Silver™ Spotfire® client software. Named Web User means a Named User who uses a TIBCO Spotfire® file through a web browser. More details on TIBCO product definitions are available at: http://www.tibco.com/software/productdefinitions.jsp

Questions? Contact mds@tibco.comEdit section

 

Research Notes

Source: http://www.gartner.com/technology/reprints.do?id=1-1DYKLUR&ct=130206&st=sb

Gartner BI Magic Quadrant: SAS Strenghts and Cautions Excerpts

SAS's portfolio includes tools in areas such as BI, performance management, data warehousing and data quality; however, unlike most other BI platform vendors, SAS primarily focuses on advanced analytical techniques, such as data mining and predictive modeling, where references acknowledge it as a leader.

The solution-oriented analytic application approach to the market is a differentiator, giving the company the advantage of having a wide variety of cross-functional and vertically specific analytic applications out of the box for a wide variety of industries, including financial services, life sciences, retail, communications and manufacturing.

In 2012, SAS announced Visual Analytics, the new data discovery product that merges dashboard design with diagnostic analytics and the use of predictive models — a possibility not yet available in some of its competitors' tools. Visual Analytics also provides mobile BI capabilities — a gap that, until now, had been resolved through a partnership with MeLLmo Roambi. Moreover, it is the first visible result of a comprehensive initiative to standardize user interfaces and to better integrate the product portfolio — an area where SAS scores lower than most other vendors in the Magic Quadrant survey. For SAS, it's also a key instrument to reach beyond analytics experts to a more mainstream audience, thereby preventing competitors' data discovery tools from doing so on its customer base.

References continue to report that SAS is very difficult to implement and use — it was the No. 3 vendor in both categories.

SAS's dominance in predictive analytics and statistics continues to be challenged on many fronts. IBM is still the main challenger with SPSS and other analytic assets, but wide support of open-source R by large competitors, such as Oracle, SAP and other smaller vendors, will be the most serious threat in the long term. R is challenging SAS for the title of standard coding language for analytics, and is increasingly considered a credible alternative by professionals in the market, eroding SAS's dominance in the analytics community. Other vendors, such as Kxen (not included in this Magic Quadrant), Prognoz, Alteryx or Tibco, are additional sources of competition as more customers adopt analytics.

Despite SAS's success and awareness as a leader in the predictive analytics space, the company is still challenged to make it onto BI platform shortlist evaluations when predictive analytics is not a primary business requirement. 

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