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Eduardo Castro
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http://comunidadwindows.org
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Using Business Intelligence (BI)
Introducing Microsoft BI
Delivering BI with Microsoft SQL Server 2008 R2
Delivering BI with Microsoft Excel 2010
Delivering BI with SharePoint Server 2010
A category of methodologies and technologies for
gathering, storing, analyzing and providing access to data
to help enterprise users make business decisions.
Summarize business critical operations
  Purchasing, finance, investments, etc…
Used at multiple organizational level
  Executive, Accounting, Personal

Often embedded in larger processes
To improve organizations by providing
business insights to all employees, leading
to better, faster, more relevant decisions

   • Microsoft has a long-term commitment to
     delivering a complete and integrated BI
     offering
   • SQL Server has led innovation in the BI
     space for more than a decade
   • There is widespread delivery of intelligence
     through Microsoft Office
   • The platforms are enterprise-grade and
     affordable
DELIVERY


                    SharePoint Server
Reports               Excel
          Dashboards Workbooks   Analytic   Scorecards PowerPivot
                                  Views

                    END USER TOOLS

          Excel                             PowerPivot

                     DATA PLATFORM
     SQL Server                           SQL Server
  Reporting Services                    Analysis Services

                    SQL Server DBMS

   SQL Server Integration Services                StreamInsight



                                                        Events
Familiar User Experience
  Business User Experience        Self-service Access and Insight
                                  Data Exploration and Analysis
                                  Predictive Analysis
                                  Data Visualization
                                  Contextual Visualization

                                  Integrated Content and Collaboration
Business Collaboration Platform   Thin Clients
                                  Dashboards
                                  BI Search
                                  Content Management
                                  Compositions

     Information Platform         Information Platform
                                  Analysis Services
                                  Reporting Services
                                  Integration Services
                                  Master Data
                                  Data Mining Services
                                  Data Warehousing
Specialized     BI for
 BI Tools
              Everyone
Database      Integration                    Analysis      Reporting      Master Data
                            StreamInsight
 Engine        Services                      Services      Services        Services



 Relational                                   Classic
                                                            Managed
   Data                                     OLAP Data
                 ETL                                        Reporting
Management                                  Management
              Processing


                               Complex
                                                           Self Service   Master Data
Replication                     Event       Data Mining
                                                            Reporting     Management
                              Processing


                Data
               Profiling                    PowerPivot*
  Full Text                                                Embedded
                                            Self Service
  Search                                                   Reporting
                                             Analytics
Cubes in SQL Server 2008 R2
Provides an interface familiar to most information workers
Supports basic, advanced, and embedded analysis
Integrates with SQL Server and Analysis Services as well
as other data sources
Includes a new add-in for highly-performing data integration
and analysis
Enables collaboration through server workbooks shared
across the Web
Supplements portals and dashboards
Manages compressed storage of, and extremely
fast querying and reporting from, large volumes of
related tabular data
Data can be loaded from a variety of data sources
Leverages familiar Excel features
Uses Data Analysis Expressions (DAX) for
sophisticated
transformation of data
Supports publication of PowerPivot workbooks to
SharePoint
Server hosting of Excel calculation engine
  Provides a web thin client for Excel workbooks
  Excel aggregates data from multiple sources
  Exposes data using REST and JavaScript



                                              Browser


     Excel 2007



                                                Custom
                                              applications
IT can control parts of Excel Workbooks
  Excel file sharing is all or nothing
  Excel Services can expose smaller parts
    Ex. Expose the results without exposing formula
    Ex. Expose one summary chart, but not the raw data
  IT can control permissions to each part
Content can be exposed in a variety of ways
  Publish workbook to a SharePoint site
    Entire workbook, specific sheets, specific items
  Web Services
  REST Services
  Javascript Object Model
Excel data “trapped” in existing workbooks
  Excel Services lets us expose this information
  Users can interact and collaborate
  Excel “applications” can be exposed on web
Provides a browser based view of Excel
Allows interaction with Excel Workbook
  Ex. Pivot Table, Sorting, Filtering, Parameters
Excel Services exposed using Web Parts
  Web Parts display named items
  Parameters exposed as Web Part connections
  Parameter changes will update charts
    Allows real time feedback to users
In-memory Data Cubes in Excel
   Excel addin allows creation of cube
   Cube persisted in the Excel Workbook
   Consumers of workbook have access to cube

                   Excel Services


                          Gemini
Browser
                                                Excel
                                               Workbook
Creating a BI Dashboard with Excel 2010
Performance
  Status     Chart Web
                             Point
Indicators     Parts
                          Services

 Excel                     Visio
             BI Search
Services                  Services
Simple web parts that provide visualization
  Quick summary of data
  Can access multiple data sources




    Fixed Values
    Lists and External Lists
    Excel Services                   Other Web Parts
    SQL Analysis Services            Lists and External Lists
                                     Excel Services
Provides a browser thin client for Excel
  Allows trusted distribution of Excel Workbooks
  Users can expose Excel content in Web Parts
  Provides workbook data using service APIs
Context-driven dashboards across systems
  Provides transparency and accountability
  Interactive access using browser
  Can be created/updated by IT professional
Professional report authoring environment
  Designed for developer or IT professional
  Does not ship with SharePoint 2010
  SP 2010 has Reporting Services Web Parts
  Used to create professional reports for BI apps
Extends the reach of search to BI elements
  Adds Excel and Reporting Services to search
  Presents results based on dimensions
  Links directly to specific view of the report
Evolution of the Reporting Center template
  Predefined lists for PPS, Excel Services
  Starting point for BI portals
Creating a BI Site in SharePoint
Visual displays of mission critical analysis
   Answers fundamental business questions
   Single screen display of information
   “Real Time” summary of data
   Interactive links to details
Provides an overall view of status indicators
  Modeled after the business not the data
  Manages key performance indicators (KPIs)
  Often included as part of a dashboard
Balanced
Scorecard Certified
Dashboard designer used to create content
  ClickOnce application launched from browser
  Manages content directly in SharePoint
    Lists for content, data sources, dashboards
Data access is managed with Data Sources
  Data is accessible from multiple sources
    Ex. Analysis Services, Excel, Lists, SQL, etc…
  Accessed with service account or current user
  Stored in list as an XML file (*.ppsdc)
Business users view content in the browser
  Stored as Web Part pages
  Web Part connections used to relate content
    Ex. Item choice in a scorecard updates reports
Decomposition trees allow data exploration
  New in SharePoint 2010
  Available by right clicking data in browser
    Analyze -> Decomposition Tree
  Allows filteringexpanding across dimensions
Driven by customer feedback
 Project Server 2003
    Limited reporting relying on OLAP Databases
 Project Server 2007
    Hard to build comprehensive dashboards using out-of-box functionality on
    the Server
    Relying on “legacy” Office Web Components (OWC) ActiveX components
    “New” visual reports functionality on the desktop application
 Project Server 2010
    Leveraging the architecture of Project Server 2007
    Building on the powerful collaboration and BI platform of SharePoint 2010
    w/ Enterprise CAL
What hasn’t changed

 Same underlying database structure as in Project 2007
   Relational
   OLAP
 Data flow is the same
 Leverage queue for reporting publish jobs
What’s changed for 2010?
 Infrastructure                                       Data
   No Office Web Components                            New Data and Views in Reporting DB
     Data Analysis views are not upgraded              New entities in the Reporting DB
     Not integrated with Views Management              Multiple OLAP Database support
   Built on SharePoint BI Technologies                 Portfolio and Project data together
     New BI Center site
     Out of the box integration with Excel Services
   3 tier architecture
Visual Display
              of the
most important information
  needed to achieve one or more
         objectives
      which fits entirely on a
 single computer screen
            so it can be
  monitored at a glance
                                 Information Dashboard Design
                                 By Stephen Few
Some are Better




              Than Others
Specific – Clear on what is being measured

Measurable – Accurate and consistent

Actionable– Influence to alter the outcome

Relevant– Significance and leverage

Timely – Appropriate intervals
Key
                     Data/Metric
                     s In Context



   Dense                                      Zero
Information                                 Learning
    Not                                      Curve
 Cluttered
                     Single Page
                     Graphically
                       Oriented




        Access to
                                     Highlight
        Supporting
                                    Exceptions
         Details
“Single Page”   “Graphical”

  No Scrolling                                     Displays Patterns
 Nothing Hidden                                      Abstract Data
 Linked Content                                     Minimal Grids
                               Better
                             Dashboard
 All Relevant Info            Design                 Domain Aware
One Place to Look                                     Leverages
 Not Data Driven                                      Knowledge


               “Disparate Data”      “Guided Analytics”
Key Data/Metrics
  High level performance metrics
  Generally tied to goals and bonuses
  Focus on actionable data
  Disparate sources

Context
  The 3Ts = Target, Trend, Typical
  Similar/Related Data/Metrics
  Basis for interpretation
Dense Information
  All relevant data/metrics
  Different perspectives
Not Cluttered – “At a Glance”
  It is not how much, but how well
  Easy to view,The Visualan eyeTufte Information
                 not Display of Quantitative
                           Edward R.
                                     chart
Data-Ink Ratio (                                   )
  Non-essential ink should be removed
  Supporting ink (axis lines) = low visual impact
Dashboard viewing is not a person’s job
  Oriented at casual users, line mgt, & execs
  Little/No accumulated experience
    Each viewing is the first time

Dashboards are not analytical tools
  But they provide guided analytics

Targeted to a Person/Role/Problem Set
Outliers should POP out        Visual Cues
Highlight Both                   Color
  Problems                        Size
  Opportunities                  Shape
What is an Exception?
                                Boldness
  > 1 Std Dev, 2…. Five9s       Position
  When action needs be taken     Icons
Dashboards are not an                         Associated
   end unto themselves                            Layers


  Contextual                    Guided
Content Updates                 Analytics         Update
                                                 Dashboard
                                                 Webparts
                   Links to
                  New Pages      Hierarchical
                                 Drill-Down
Root Cause
 Analysis
                         Ad Hoc Analysis        Detail Reports
Scorecards                 Diagrams

               Grids                     Charts


      Gauges               Maps


Tree Map     Decomp Tree
                                      And So
                                      Much More……
Color
Use Color Sparingly – Generally Soft Colors
  Highlighting – Bold Colors
Different Colors = Different Meaning
  Try shades of grey
Use a Single Hue
  Increase the intensity for low to high values
Remember - 7% of men are color blind

                A dashboard is not a painting
                       Usefulness is Paramount
When to use:
  Values are familiar
  Need to lookup a value
  Small differences are important
  Mixed units of measure

Design Considerations
  Try to keep square-ish
  Comparisons are done by column
  Limit length with Top/Bottom
Highlights
  Items of interest
Data Bars
  Helpful to read magnitude
Color Scales/Icons                   Icons
  Can overwhelm the data       are best used to:
Arrows                              Replace
  Used for change over time   data to save space
                                     Show
                               variance or score
Are a special type of grid
   Created for KPIs and Objectives
Can be methodology oriented
   Balanced Scorecard, 6 Sigma, …
Used as a navigation aid
   A list with data

                                  Scorecards
                               are less about data
                             and more about process
Score
 Catalog
                                         Budget
  Audited                                Plan
                                         Forecast
 Accurate                                           Scorecards
                        Tolerances   Benchmarks
 Approved


                                                      Perspectives



                                                          Initiatives
                              KPIs
                                                      Organize
                  Metrics

       Measures

Data
Lines Charts – Time Series oriented
  Highlights trend, patterns or variability
  Highlights relationships between series
  Trend lines & projections can be added
Bar Chart – Comparison Oriented
  Categorical comparisons within a dimension        http://www.symcorp.com
  Nominal comparisons across data (sales to cost)
Pie Charts – Part to Whole
  Only works with small sets
  Hard to visually quantify
  A lot of space for not much data
If the dashboard is not
visually appealing,          1 Page – 6#s
people will not go to it

If the dashboard is not
effective and practical,
people will not use it     Pretty Yes! Useful?


         What is fun
        the first time

       Might be boring
        the 100th time
                              Too Dense?
Horizontal
   Long labels
   Pattern comparisons
   Long-ish lists

Vertical
   Groups with in groups
   Stacked and 100% Bars
   Pareto Charts

Doesn’t work for large numbers of groups
Bars are easily drilled into
Effective
           Great
                         Mixing Of
          Data-Ink
                         Charts &
           Ratio
Trellis                   Values        Small
Charts                                 Multiples
                Introduction of
          Sparklines & Bullet Graphs
A bullet graph is a variation of a bar
   graph developed by Stephen Few.
 Seemingly inspired by the traditional
thermometer charts and progress bars
 found in many dashboards, the bullet
   graph serves as a replacement for
                                           Symmetry’s
     dashboard gauges and meters            Variation
                                           Sales
                                           Costs


                                           Black Bar = Value
                                           Green/Red Bar = Target
                                           Blue Pointer = Last Year
Useful in
                      showing regional
                          components
Maps are great for
demographics


                                            Impact grids
                                         can be effective
           Be careful of charts
           within a map
When using a set of
Hard to set gauge scale
                            gauges expected value
  for the general case
                             should be straight up



           Best for continuous process
              Poor Data-Ink Ratio
Balanced Scorecard                     Process Diagram
Strategy Map




                  Diagrams are
                   underutilized
             Graphical Representations




Impact Diagram               Root Cause/Fishbone Diagram
Show the data
Focus on the substance of the numbers
Don’t distort the data
Present many numbers in a small space
Encourage comparisons
Show data in several perspectives

            The Visual Display of Quantitative Information
                                             Edward R. Tufte
Number of Frames
   Up to 4 is good, no more than 6
Frame Proportions
   Size = implied importance
   Uniform otherwise
Location
   Top left = primary focus
   Bottom right = supporting detail
   Off page = irrelevant
Printing
   The dirty little secret
Different frame on same page
  Must fit on the page
  Can drill from here to new page
New page in same browser
  Easy to get back
  Full page available
New browser tab/window
  Allows for comparisons
  Users must close windows/tabs
A tiered set of dashboards based on
           role or function


     A set of grids, graphs, or
visualizations that examine a single
                metric


 A set of detailed reports or ad-hoc
              analytics
                                       http://www.symcorp.com
Identify the key dimensions for the metric
  Customer, product, department
  Drill into one or more of these
  Top 10 rankings

Identify the audience
  Marketing manager – Drill to product
  Sales Manager – Drill to customer
•   Business Intelligence (BI) Primer
•   BI Tools in SharePoint 2010
•   Excel Services
•   Performance Point Services
Show Me the Numbers: Designing Tables and Graphs to Enlighten
   Stephen Few

Information Dashboard Design: The Effective Visual Communication of Data
    Stephen Few

The Visual Display of Quantitative Information, 2nd edition
   Edward R. Tufte

http://www.perceptualedge.com/


http://dashboardspy.com/

Symmetry Corp – www.symcorp.com
Related Resources
 Webcasts (http://www.microsoft.com/events/series/epm.aspx)

 Project 2010 Business Intelligence Center
    http://go.microsoft.com/?linkid=9726143
    Accessible from Project Server 2010 TechCenter site
    http://technet.microsoft.com/projectserver/

 SharePoint 2010 Business Intelligence Center
    http://technet.microsoft.com/sharepoint/ee692578.aspx
BI Dashboards with SQL Server

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BI Dashboards with SQL Server

  • 2.
  • 3. Using Business Intelligence (BI) Introducing Microsoft BI Delivering BI with Microsoft SQL Server 2008 R2 Delivering BI with Microsoft Excel 2010 Delivering BI with SharePoint Server 2010
  • 4. A category of methodologies and technologies for gathering, storing, analyzing and providing access to data to help enterprise users make business decisions.
  • 5. Summarize business critical operations Purchasing, finance, investments, etc… Used at multiple organizational level Executive, Accounting, Personal Often embedded in larger processes
  • 6.
  • 7. To improve organizations by providing business insights to all employees, leading to better, faster, more relevant decisions • Microsoft has a long-term commitment to delivering a complete and integrated BI offering • SQL Server has led innovation in the BI space for more than a decade • There is widespread delivery of intelligence through Microsoft Office • The platforms are enterprise-grade and affordable
  • 8. DELIVERY SharePoint Server Reports Excel Dashboards Workbooks Analytic Scorecards PowerPivot Views END USER TOOLS Excel PowerPivot DATA PLATFORM SQL Server SQL Server Reporting Services Analysis Services SQL Server DBMS SQL Server Integration Services StreamInsight Events
  • 9. Familiar User Experience Business User Experience Self-service Access and Insight Data Exploration and Analysis Predictive Analysis Data Visualization Contextual Visualization Integrated Content and Collaboration Business Collaboration Platform Thin Clients Dashboards BI Search Content Management Compositions Information Platform Information Platform Analysis Services Reporting Services Integration Services Master Data Data Mining Services Data Warehousing
  • 10. Specialized BI for BI Tools Everyone
  • 11. Database Integration Analysis Reporting Master Data StreamInsight Engine Services Services Services Services Relational Classic Managed Data OLAP Data ETL Reporting Management Management Processing Complex Self Service Master Data Replication Event Data Mining Reporting Management Processing Data Profiling PowerPivot* Full Text Embedded Self Service Search Reporting Analytics
  • 12. Cubes in SQL Server 2008 R2
  • 13. Provides an interface familiar to most information workers Supports basic, advanced, and embedded analysis Integrates with SQL Server and Analysis Services as well as other data sources Includes a new add-in for highly-performing data integration and analysis Enables collaboration through server workbooks shared across the Web Supplements portals and dashboards
  • 14. Manages compressed storage of, and extremely fast querying and reporting from, large volumes of related tabular data Data can be loaded from a variety of data sources Leverages familiar Excel features Uses Data Analysis Expressions (DAX) for sophisticated transformation of data Supports publication of PowerPivot workbooks to SharePoint
  • 15. Server hosting of Excel calculation engine Provides a web thin client for Excel workbooks Excel aggregates data from multiple sources Exposes data using REST and JavaScript Browser Excel 2007 Custom applications
  • 16. IT can control parts of Excel Workbooks Excel file sharing is all or nothing Excel Services can expose smaller parts Ex. Expose the results without exposing formula Ex. Expose one summary chart, but not the raw data IT can control permissions to each part
  • 17. Content can be exposed in a variety of ways Publish workbook to a SharePoint site Entire workbook, specific sheets, specific items Web Services REST Services Javascript Object Model
  • 18. Excel data “trapped” in existing workbooks Excel Services lets us expose this information Users can interact and collaborate Excel “applications” can be exposed on web
  • 19. Provides a browser based view of Excel Allows interaction with Excel Workbook Ex. Pivot Table, Sorting, Filtering, Parameters
  • 20. Excel Services exposed using Web Parts Web Parts display named items Parameters exposed as Web Part connections Parameter changes will update charts Allows real time feedback to users
  • 21. In-memory Data Cubes in Excel Excel addin allows creation of cube Cube persisted in the Excel Workbook Consumers of workbook have access to cube Excel Services Gemini Browser Excel Workbook
  • 22. Creating a BI Dashboard with Excel 2010
  • 23.
  • 24. Performance Status Chart Web Point Indicators Parts Services Excel Visio BI Search Services Services
  • 25. Simple web parts that provide visualization Quick summary of data Can access multiple data sources Fixed Values Lists and External Lists Excel Services Other Web Parts SQL Analysis Services Lists and External Lists Excel Services
  • 26. Provides a browser thin client for Excel Allows trusted distribution of Excel Workbooks Users can expose Excel content in Web Parts Provides workbook data using service APIs
  • 27. Context-driven dashboards across systems Provides transparency and accountability Interactive access using browser Can be created/updated by IT professional
  • 28. Professional report authoring environment Designed for developer or IT professional Does not ship with SharePoint 2010 SP 2010 has Reporting Services Web Parts Used to create professional reports for BI apps
  • 29. Extends the reach of search to BI elements Adds Excel and Reporting Services to search Presents results based on dimensions Links directly to specific view of the report
  • 30. Evolution of the Reporting Center template Predefined lists for PPS, Excel Services Starting point for BI portals
  • 31. Creating a BI Site in SharePoint
  • 32. Visual displays of mission critical analysis Answers fundamental business questions Single screen display of information “Real Time” summary of data Interactive links to details
  • 33. Provides an overall view of status indicators Modeled after the business not the data Manages key performance indicators (KPIs) Often included as part of a dashboard Balanced Scorecard Certified
  • 34. Dashboard designer used to create content ClickOnce application launched from browser Manages content directly in SharePoint Lists for content, data sources, dashboards
  • 35. Data access is managed with Data Sources Data is accessible from multiple sources Ex. Analysis Services, Excel, Lists, SQL, etc… Accessed with service account or current user Stored in list as an XML file (*.ppsdc)
  • 36. Business users view content in the browser Stored as Web Part pages Web Part connections used to relate content Ex. Item choice in a scorecard updates reports
  • 37. Decomposition trees allow data exploration New in SharePoint 2010 Available by right clicking data in browser Analyze -> Decomposition Tree Allows filteringexpanding across dimensions
  • 38.
  • 39.
  • 40. Driven by customer feedback Project Server 2003 Limited reporting relying on OLAP Databases Project Server 2007 Hard to build comprehensive dashboards using out-of-box functionality on the Server Relying on “legacy” Office Web Components (OWC) ActiveX components “New” visual reports functionality on the desktop application Project Server 2010 Leveraging the architecture of Project Server 2007 Building on the powerful collaboration and BI platform of SharePoint 2010 w/ Enterprise CAL
  • 41. What hasn’t changed Same underlying database structure as in Project 2007 Relational OLAP Data flow is the same Leverage queue for reporting publish jobs
  • 42. What’s changed for 2010? Infrastructure Data No Office Web Components New Data and Views in Reporting DB Data Analysis views are not upgraded New entities in the Reporting DB Not integrated with Views Management Multiple OLAP Database support Built on SharePoint BI Technologies Portfolio and Project data together New BI Center site Out of the box integration with Excel Services 3 tier architecture
  • 43.
  • 44.
  • 45. Visual Display of the most important information needed to achieve one or more objectives which fits entirely on a single computer screen so it can be monitored at a glance Information Dashboard Design By Stephen Few
  • 46. Some are Better Than Others
  • 47. Specific – Clear on what is being measured Measurable – Accurate and consistent Actionable– Influence to alter the outcome Relevant– Significance and leverage Timely – Appropriate intervals
  • 48. Key Data/Metric s In Context Dense Zero Information Learning Not Curve Cluttered Single Page Graphically Oriented Access to Highlight Supporting Exceptions Details
  • 49. “Single Page” “Graphical” No Scrolling Displays Patterns Nothing Hidden Abstract Data Linked Content Minimal Grids Better Dashboard All Relevant Info Design Domain Aware One Place to Look Leverages Not Data Driven Knowledge “Disparate Data” “Guided Analytics”
  • 50. Key Data/Metrics High level performance metrics Generally tied to goals and bonuses Focus on actionable data Disparate sources Context The 3Ts = Target, Trend, Typical Similar/Related Data/Metrics Basis for interpretation
  • 51. Dense Information All relevant data/metrics Different perspectives Not Cluttered – “At a Glance” It is not how much, but how well Easy to view,The Visualan eyeTufte Information not Display of Quantitative Edward R. chart Data-Ink Ratio ( ) Non-essential ink should be removed Supporting ink (axis lines) = low visual impact
  • 52. Dashboard viewing is not a person’s job Oriented at casual users, line mgt, & execs Little/No accumulated experience Each viewing is the first time Dashboards are not analytical tools But they provide guided analytics Targeted to a Person/Role/Problem Set
  • 53. Outliers should POP out Visual Cues Highlight Both Color Problems Size Opportunities Shape What is an Exception? Boldness > 1 Std Dev, 2…. Five9s Position When action needs be taken Icons
  • 54. Dashboards are not an Associated end unto themselves Layers Contextual Guided Content Updates Analytics Update Dashboard Webparts Links to New Pages Hierarchical Drill-Down Root Cause Analysis Ad Hoc Analysis Detail Reports
  • 55. Scorecards Diagrams Grids Charts Gauges Maps Tree Map Decomp Tree And So Much More……
  • 56. Color Use Color Sparingly – Generally Soft Colors Highlighting – Bold Colors Different Colors = Different Meaning Try shades of grey Use a Single Hue Increase the intensity for low to high values Remember - 7% of men are color blind A dashboard is not a painting Usefulness is Paramount
  • 57. When to use: Values are familiar Need to lookup a value Small differences are important Mixed units of measure Design Considerations Try to keep square-ish Comparisons are done by column Limit length with Top/Bottom
  • 58. Highlights Items of interest Data Bars Helpful to read magnitude Color Scales/Icons Icons Can overwhelm the data are best used to: Arrows Replace Used for change over time data to save space Show variance or score
  • 59. Are a special type of grid Created for KPIs and Objectives Can be methodology oriented Balanced Scorecard, 6 Sigma, … Used as a navigation aid A list with data Scorecards are less about data and more about process
  • 60. Score Catalog Budget Audited Plan Forecast Accurate Scorecards Tolerances Benchmarks Approved Perspectives Initiatives KPIs Organize Metrics Measures Data
  • 61. Lines Charts – Time Series oriented Highlights trend, patterns or variability Highlights relationships between series Trend lines & projections can be added Bar Chart – Comparison Oriented Categorical comparisons within a dimension http://www.symcorp.com Nominal comparisons across data (sales to cost) Pie Charts – Part to Whole Only works with small sets Hard to visually quantify A lot of space for not much data
  • 62. If the dashboard is not visually appealing, 1 Page – 6#s people will not go to it If the dashboard is not effective and practical, people will not use it Pretty Yes! Useful? What is fun the first time Might be boring the 100th time Too Dense?
  • 63. Horizontal Long labels Pattern comparisons Long-ish lists Vertical Groups with in groups Stacked and 100% Bars Pareto Charts Doesn’t work for large numbers of groups Bars are easily drilled into
  • 64. Effective Great Mixing Of Data-Ink Charts & Ratio Trellis Values Small Charts Multiples Introduction of Sparklines & Bullet Graphs
  • 65. A bullet graph is a variation of a bar graph developed by Stephen Few. Seemingly inspired by the traditional thermometer charts and progress bars found in many dashboards, the bullet graph serves as a replacement for Symmetry’s dashboard gauges and meters Variation Sales Costs Black Bar = Value Green/Red Bar = Target Blue Pointer = Last Year
  • 66. Useful in showing regional components Maps are great for demographics Impact grids can be effective Be careful of charts within a map
  • 67. When using a set of Hard to set gauge scale gauges expected value for the general case should be straight up Best for continuous process Poor Data-Ink Ratio
  • 68. Balanced Scorecard Process Diagram Strategy Map Diagrams are underutilized Graphical Representations Impact Diagram Root Cause/Fishbone Diagram
  • 69. Show the data Focus on the substance of the numbers Don’t distort the data Present many numbers in a small space Encourage comparisons Show data in several perspectives The Visual Display of Quantitative Information Edward R. Tufte
  • 70. Number of Frames Up to 4 is good, no more than 6 Frame Proportions Size = implied importance Uniform otherwise Location Top left = primary focus Bottom right = supporting detail Off page = irrelevant Printing The dirty little secret
  • 71. Different frame on same page Must fit on the page Can drill from here to new page New page in same browser Easy to get back Full page available New browser tab/window Allows for comparisons Users must close windows/tabs
  • 72. A tiered set of dashboards based on role or function A set of grids, graphs, or visualizations that examine a single metric A set of detailed reports or ad-hoc analytics http://www.symcorp.com
  • 73. Identify the key dimensions for the metric Customer, product, department Drill into one or more of these Top 10 rankings Identify the audience Marketing manager – Drill to product Sales Manager – Drill to customer
  • 74.
  • 75. Business Intelligence (BI) Primer • BI Tools in SharePoint 2010 • Excel Services • Performance Point Services
  • 76.
  • 77. Show Me the Numbers: Designing Tables and Graphs to Enlighten Stephen Few Information Dashboard Design: The Effective Visual Communication of Data Stephen Few The Visual Display of Quantitative Information, 2nd edition Edward R. Tufte http://www.perceptualedge.com/ http://dashboardspy.com/ Symmetry Corp – www.symcorp.com
  • 78. Related Resources Webcasts (http://www.microsoft.com/events/series/epm.aspx) Project 2010 Business Intelligence Center http://go.microsoft.com/?linkid=9726143 Accessible from Project Server 2010 TechCenter site http://technet.microsoft.com/projectserver/ SharePoint 2010 Business Intelligence Center http://technet.microsoft.com/sharepoint/ee692578.aspx