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.

1. Road Map for Data Visualization Sanjay Mehta CEO sanjaymehta@maia-intelligence.com

2. 1KEY Agile – Data Visualization BI Product 2006 - MAIA Intelligence established with 1KEY BI product offering 2007 - Featured in NASSCOM 100 IT Innovators 2007 – Gets Microsoft Gold Partner Status 2007 – Participated in 1st World Wide BI conference held by Microsoft in Seattle. 2008 - 1KEY Agile BI Suite featured in Microsoft Solution Directory with SQL 2008 launch. 2008 - 1KEY is the 1st Indian BI to be recognized by NICSIfor tender ( Government of India ) 2008 - Gartner’s Hype Cycle for ICT in India, Report mentioned MAIA 2008 – Red Herring Asia Finalist 100 2008 – Launch of 1KEY FCM (Financial Consolidation Module) 2008 – Winner of India’s Most Trusted IT Vendor in BI category by Survey The CTO Forum magazine 2009 – Named ‘Most Successful Startup’ to watch out for by the readers and editorial board of I.T. Magz 2009 – Government of India NIC BIDW division recommends MAIA 1KEY for National Award. 2009 – Gartner Report on BI Trends mentions MAIA Intelligence . 2009 – Becomes a Microsoft ISV Case Study 2009 – Compatibility Testing logo with Windows 7 2009 – Emerging Technology Analysis Report from Gartner mentions MAIA Intelligence 2009 – Red Herring Asia 100 Winner 2009 – Launch of 1KEY Investigator ( Data Auditing & Fraud Detection Module) 2009- Forbes.com mentions MAIA Intelligence as company to watch. 2010 – Winner of Microsoft Innovation Award for ISV

3. Concepts

4. Meaning – Hitting the sweet spot “ 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. “

5. Need – Information Deficiency Exploration of large data sets is an important but difficult problem Location component of data, while critical, often not understood 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 “

6. Ways – Information Discrimination “ 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. ”

7. BI Technology helps understanding data for actionable information Sales Revenue $1,383,593 What does this number reveal? Is this pretty good, bad or ugly? $1,295,213 Q1 $1,374,876 Q2 $1,242,871 Q3 $1,383,593 Q4 The Sales revenue for fourth Quarter is pretty good as compared to earlier quarter $1,102,304 2004 Q4 $1,383,593 2006 Q4 $1,395,478 2005 Q4 The Sales revenue for 2006 Quarter IV is down as compared to earlier years $1,598,604 Target 2006 Q4 $1,383,593 Actual 2006 Q4 However in comparison to the targets, the actual turnover appears ugly

8. BI makes data visualization easy for quick decisions Which region has the best sales & in which month?

9. Mumbai Municipality Data

11. Purpose-Filled Dashboard

12. Finding the right audience

13. Value of the dashboard

14. Type of dashboard

15. How to define a metric

16. Working Capital CFO Dashboard

17. SQL Server Reporting Services And Data Visualization

18. Key Map Features in SQL Server Reporting Services 2008 R2 Maps contains one or more… Point Layers (Cities, Customers) Line Layers (Routes, roads) Polygon Layers (Countries, States) Tile Layers (based on Bing™ Maps) Support for ESRI shape files and SQL spatial Show analytical data using size and color Built-in distribution formulas Wizard for building common scenarios

19. Map Components (Example 1) Polygon Layer Map Legends Analytical Data Bubble w/size Rule Color Rule

20. Map Components (Example 2) Point Layer SQL Spatial Query (points) Polygon Layer Tile Layer SQL Spatial Query (polygon)

25. Port Company Business Heat Map Using MS SQL 2008

26. Map Tips and Best Practices SQL Server spatial “goodness” Makes parameterized spatial reports easier Pass ID or Name as parameter, not spatial data. Makes drill-down map scenarios much easier. Prevents having to store large amounts of data in RDL. Enables you to use SQL Server spatial functions Additional functions available on Codeplex. Aggregate spatial data as part of ETL processes. Map can combine SSAS and Power Pivot data with SQL Server spatial data. Store maps in the Report Part Gallery Centralized location for storing and searching map assets for reports.

27. Sparklines and Data Bars Sparklines “Data intense, word-sized graphics” Automatic axis alignment. All charts can have the same data points, regardless of source data. Can be converted into full charts to support additional small multiple scenarios. Data Bars Usually depict a single value in a cell. Min and Max are automatically determined, but are configurable. Data Bars Sparklines

28. Indicators Icons used to depict the status against a value, goal or a trend. Choose from pre-configured sets, or build your own! Colors, Icon and Size can be changed based on data. Automatic support for comparing each member of a group against siblings. Can also be placed inside gauges. Indicators

29. Chart Types In SSRS 2008 Column 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) Line Line (3-D), Smooth Line, Stepped Line, Line with Markers, Smooth Line with Markers Shape Pie (3-D), Exploded Pie (3-D), Doughnut, Exploded Doughnut, Funnel (3-D), Pyramid (3-D) Area Area (3-D), Smooth Area (3-D), Stacked, 100% Stacked (3-D) Range Smooth, Range Column, Range Bar, Stock, Candlestick, Error Bar, Boxplot Bar 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) Scatter Bubble Polar Polar, Radar (3-D) Pareto Histograms Chart Types in Yellow are New to SQL Server Reporting Services 2008

30. Chart Examples Frame Effects Scale Breaks Drawing Styles

31. Chart Examples Multiple Legends Calculated Series Striplines Multiple Chart Areas

32. Introducing Gauge Gauge is a new data region in SSRS 2008 Two main gauge types Radial and Linear Scenarios Typically bound to a single or a few data points (value, target, goal, etc.) Perfect for KPIs

33. Introducing Gauge

34. Gauge Parts Gauge Panel Scale Ranges Pointer Frame

35. Gauge Types Meter Horizontal

36. Gauge Types Thermometers

37. Spark Lines & Bullet Graphs

38. Chart And Gauges

39. Chart Types

40. Fundamentals of Chart Design Remove Chart Junk – let every pixel tell a story about your data.

41. Maximize contrast. Maximize the contrast between your data and the background Fundamentals of Chart Design

42. Readable labels. Whenever possible, avoid rotated labels Fundamentals of Chart Design

44. Careful use of gradients. Fundamentals of Chart Design

46. Data Visualization Benefits You should produce effective business summaries for your company Help them show everything they want to know Give them well defined current reports depict relation ships, bottlenecks, outliers, trends and value-drivers. Quickly produce accurate views of important problems.

47. Thank You Happy Data Visualization with Charts and Dashboards People like to be known as visual thinkers www.maia-intelligence.com