Data Visualization - Presentation at Microsoft IT Pro Mumbai July 2010

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

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

Concepts

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. “

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 “

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. ”

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

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

Mumbai Municipality Data

Purpose-Filled Dashboard

Finding the right audience

Value of the dashboard

Type of dashboard

How to define a metric

Working Capital CFO Dashboard

SQL Server Reporting Services And Data Visualization

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

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

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

Port Company Business Heat Map Using MS SQL 2008

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.

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

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

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

Chart Examples
Frame Effects
Scale Breaks
Drawing Styles

Chart Examples
Multiple Legends
Calculated Series
Striplines
Multiple Chart Areas

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

Introducing Gauge

Gauge Parts
Gauge
Panel
Scale
Ranges
Pointer
Frame

Gauge Types
Meter
Horizontal

Gauge Types
Thermometers

Spark Lines & Bullet Graphs

Chart And Gauges

Chart Types

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

Maximize contrast. Maximize the contrast between your data and the background

Readable labels. Whenever possible, avoid rotated labels

Don’t repeat yourself; repetition is bad.

Avoid smoothing and 3D.

Careful use of gradients.

Sort for comprehension

Use color variants.

Conclusion Summary
Determine your message and identify your data
Determine if a table, graph, or combination of both is needed to communicate your message
Determine the best means to encode the values
Determine where to display each variable
Determine the best design for the remaining objects
Determine if particular data should be featured, and if so, how

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.

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

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Data Visualization - Presentation at Microsoft IT Pro Mumbai July 2010

by Dhiren Gala on Jul 26, 2010

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Data Visualization - Presentation at Microsoft IT Pro Mumbai July 2010 — Presentation Transcript