Data Visualization - Presentation at Microsoft IT Pro Mumbai July 2010


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Mr. Sanjay Mehta, CEO, MAIA Intelligence Pvt. Ltd. was invited as a speaker at Mumbai IT Pro at Nehru Centre Worli an event organized by Microsoft Community Tech Days on July 24, 2010 on the topic Data Visualization in SQL Server 2008 R2.

This presentation highlights Data Visualization concepts and how to represent Data more effectively and intuitively.

Also highlights the technical aspects of Data Visualization in SQL Server 2008 R2.

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Data Visualization - Presentation at Microsoft IT Pro Mumbai July 2010

  1. 1. Road Map for Data Visualization<br />Sanjay Mehta<br />CEO <br /><br />
  2. 2. 1KEY Agile – Data Visualization BI Product<br />2006 - MAIA Intelligence established with 1KEY BI product offering<br />2007 - Featured in NASSCOM 100 IT Innovators<br />2007 – Gets Microsoft Gold Partner Status<br />2007 – Participated in 1st World Wide BI conference held by Microsoft in Seattle.<br />2008 - 1KEY Agile BI Suite featured in Microsoft Solution Directory with SQL 2008 launch.<br />2008 - 1KEY is the 1st Indian BI to be recognized by NICSIfor tender ( Government of India )<br />2008 - Gartner’s Hype Cycle for ICT in India, Report mentioned MAIA<br />2008 – Red Herring Asia Finalist 100<br />2008 – Launch of 1KEY FCM (Financial Consolidation Module)<br />2008 – Winner of India’s Most Trusted IT Vendor in BI category by Survey The CTO Forum magazine<br />2009 – Named ‘Most Successful Startup’ to watch out for by the readers and editorial board of I.T. Magz<br />2009 – Government of India NIC BIDW division recommends MAIA 1KEY for National Award.<br />2009 – Gartner Report on BI Trends mentions MAIA Intelligence .<br />2009 – Becomes a Microsoft ISV Case Study<br />2009 – Compatibility Testing logo with Windows 7<br />2009 – Emerging Technology Analysis Report from Gartner mentions MAIA Intelligence<br />2009 – Red Herring Asia 100 Winner<br />2009 – Launch of 1KEY Investigator ( Data Auditing & Fraud Detection Module)<br />2009- mentions MAIA Intelligence as company to watch.<br />2010 – Winner of Microsoft Innovation Award for ISV<br />
  3. 3. Concepts<br />
  4. 4. Meaning – Hitting the sweet spot<br />“ The function of a report with data visualization is to communicate critical information to your audience in a way they can understand, delivered when and where they need the information. “<br />
  5. 5. Need – Information Deficiency<br />Exploration of large data sets is an important but difficult problem<br />Location component of data, while critical, often not understood<br />Many companies still don’t have a clear picture of their overall performance, which may be why they cannot assess it,” “They prefer to fumble around in the dark. But they may not like what they see when the lights go on “<br />
  6. 6. Ways – Information Discrimination<br />“ Dashboard content must be organized in a way that reflects the nature of the information and that supports efficient and meaningful monitoring. Information cannot be placed just anywhere on the dashboard, nor can sections of the display be sized simply to fit the available space. Items that relate to one another should usually be positioned close to one another. Important items should often appear larger, thus more visually prominent, than less important items. Items that ought to be scanned in a particular order ought to be arranged in a manner that supports that sequence of visual attention. ”<br />
  7. 7. BI Technology helps understanding data for actionable information<br />Sales Revenue<br />$1,383,593<br />What does this number reveal? Is this pretty good, bad or ugly?<br />$1,295,213<br />Q1<br />$1,374,876<br />Q2<br />$1,242,871<br />Q3<br />$1,383,593<br />Q4<br />The Sales revenue for fourth Quarter is pretty good as compared to earlier quarter<br />$1,102,304<br />2004 Q4<br />$1,383,593<br />2006 Q4<br />$1,395,478<br />2005 Q4<br />The Sales revenue for 2006 Quarter IV is down as compared to earlier years<br />$1,598,604<br />Target 2006 Q4<br />$1,383,593<br />Actual 2006 Q4<br />However in comparison to the targets, the actual turnover appears ugly<br />
  8. 8. BI makes data visualization easy for quick decisions <br />Which region has the best sales & in which month?<br />
  9. 9. Mumbai Municipality Data<br />
  10. 10.
  11. 11. Purpose-Filled Dashboard<br />
  12. 12. Finding the right audience <br />
  13. 13. Value of the dashboard<br />
  14. 14. Type of dashboard<br />
  15. 15. How to define a metric<br />
  16. 16. Working Capital CFO Dashboard<br />
  17. 17. SQL Server Reporting Services And Data Visualization<br />
  18. 18. Key Map Features in SQL Server Reporting Services 2008 R2<br />Maps contains one or more… <br />Point Layers (Cities, Customers)<br />Line Layers (Routes, roads)<br />Polygon Layers (Countries, States)<br />Tile Layers (based on Bing™ Maps)<br />Support for ESRI shape files and SQL spatial<br />Show analytical data using size and color<br />Built-in distribution formulas<br />Wizard for building common scenarios<br />
  19. 19. Map Components (Example 1)<br />Polygon Layer<br />Map Legends<br />Analytical Data<br />Bubble w/size Rule<br />Color Rule<br />
  20. 20. Map Components (Example 2)<br />Point Layer<br />SQL Spatial Query (points)<br />Polygon Layer<br />Tile Layer<br />SQL Spatial Query (polygon)<br />
  21. 21.
  22. 22.
  23. 23.
  24. 24.
  25. 25. Port Company Business Heat Map Using MS SQL 2008<br />
  26. 26. Map Tips and Best Practices<br />SQL Server spatial “goodness”<br />Makes parameterized spatial reports easier<br />Pass ID or Name as parameter, not spatial data.<br />Makes drill-down map scenarios much easier.<br />Prevents having to store large amounts of data in RDL.<br />Enables you to use SQL Server spatial functions<br />Additional functions available on Codeplex.<br />Aggregate spatial data as part of ETL processes.<br />Map can combine SSAS and Power Pivot data with SQL Server spatial data.<br />Store maps in the Report Part Gallery<br />Centralized location for storing and searching map assets for reports.<br />
  27. 27. Sparklines and Data Bars<br />Sparklines<br />“Data intense, word-sized graphics” <br />Automatic axis alignment. All charts can have the same data points, regardless of source data.<br />Can be converted into full charts to support additional small multiple scenarios.<br />Data Bars<br />Usually depict a single value in a cell.<br />Min and Max are automatically determined, but are configurable.<br />Data Bars<br />Sparklines<br />
  28. 28. Indicators<br />Icons used to depict the status against a value, goal or a trend.<br />Choose from pre-configured sets, or build your own!<br />Colors, Icon and Size can be changed based on data.<br />Automatic support for comparing each member of a group against siblings.<br />Can also be placed inside gauges.<br />Indicators<br />
  29. 29. Chart Types In SSRS 2008<br />Column<br />Column (3-D), Stacked (3-D), 100% Stacked (3-D), Clustered (3-D), Cylinder (3-D) , Stacked Cylinder (3-D), 100% Stacked Cylinder (3-D), Clustered Cylinder (3-D)<br />Line<br />Line (3-D), Smooth Line, Stepped Line, Line with Markers, Smooth Line with Markers<br />Shape<br />Pie (3-D), Exploded Pie (3-D), Doughnut, Exploded Doughnut, Funnel (3-D), Pyramid (3-D)<br />Area<br />Area (3-D), Smooth Area (3-D), Stacked, 100% Stacked (3-D)<br />Range<br />Smooth, Range Column, Range Bar, Stock, Candlestick, Error Bar, Boxplot<br />Bar<br />Bar, Stacked (3-D), 100% Stacked (3-D), Clustered (3-D), Stacked Horizontal Cylinder (3-D), Stacked 100% Horizontal Cylinder (3-D), Clustered Horizontal Cylinder (3-D)<br />Scatter<br />Bubble<br />Polar<br />Polar, Radar (3-D)<br />Pareto<br />Histograms<br />Chart Types in Yellow are New to SQL Server Reporting Services 2008<br />
  30. 30. Chart Examples<br />Frame Effects<br />Scale Breaks<br />Drawing Styles<br />
  31. 31. Chart Examples<br /> Multiple Legends<br />Calculated Series<br />Striplines<br />Multiple Chart Areas<br />
  32. 32. Introducing Gauge<br />Gauge is a new data region in SSRS 2008<br />Two main gauge types<br />Radial and Linear<br />Scenarios<br />Typically bound to a single or a few data points (value, target, goal, etc.)<br />Perfect for KPIs<br />
  33. 33. Introducing Gauge<br />
  34. 34. Gauge Parts<br />Gauge<br />Panel<br />Scale<br />Ranges<br />Pointer<br />Frame<br />
  35. 35. Gauge Types<br />Meter<br />Horizontal<br />
  36. 36. Gauge Types<br />Thermometers<br />
  37. 37. Spark Lines & Bullet Graphs<br />
  38. 38. Chart And Gauges<br />
  39. 39. Chart Types<br />
  40. 40. Fundamentals of Chart Design<br />Remove Chart Junk – let every pixel tell a story about your data.<br />
  41. 41. Maximize contrast. Maximize the contrast between your data and the background<br />Fundamentals of Chart Design<br />
  42. 42. Readable labels. Whenever possible, avoid rotated labels<br />Fundamentals of Chart Design<br />
  43. 43. Fundamentals of Chart Design<br /><ul><li>Don’t repeat yourself; repetition is bad.</li></li></ul><li>Avoid smoothing and 3D.<br />Fundamentals of Chart Design<br />
  44. 44. Careful use of gradients.<br />Fundamentals of Chart Design<br />
  45. 45. Fundamentals of Chart Design<br /><ul><li>Sort for comprehension</li></li></ul><li>Fundamentals of Chart Design<br /><ul><li>Use color variants.</li></li></ul><li>Conclusion Summary<br />Determine your message and identify your data<br />Determine if a table, graph, or combination of both is needed to communicate your message<br />Determine the best means to encode the values<br />Determine where to display each variable<br />Determine the best design for the remaining objects<br />Determine if particular data should be featured, and if so, how<br />
  46. 46. Data Visualization Benefits<br />You should produce effective business summaries for your company<br />Help them show everything they want to know<br />Give them well defined current reports depict relation ships, bottlenecks, outliers, trends and value-drivers.<br />Quickly produce accurate views of important problems.<br />
  47. 47. Thank You<br />Happy Data Visualization <br />with Charts and Dashboards<br />People like to be known as visual thinkers<br /><br />