Download - The art technique of data visualization
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The Art & technique of Data Visualization
Welcome to the webinar on
Presented by
&
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This webinar aims to cover the following
1 Why BI projects fail?
2 What is Data Visualization?
3 Who needs Data Visualization?
4 The 3D Framework
5 Lets hear it from you
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Why BI projects fail?
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Data Visualization - Defined
Data Visualization is the art and technique of representing data in a graphical and pictorial format
It is the moment of truth resulting from any DWH / Big Data initiatives
Why is it important?
Human Brains
Are equipped to perceive
meaningful patterns, outliers, and
structures to form a judgment.
Decision Making
No 1 priority : support decision
making.
Adding value to the volume, variety
and velocity of data that is
generated and processed.
Communication
Inform : What & Why
Educate : What If, What Next &
What Can
Collaborate : Who, What Else & How
Exactly.
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Data Visualization Eco-System
Who needs Data
Visualization
Regulators
Customers
Suppliers
Analysts
Why?
Decision Making
Business Users
IT Executives Operational
Efficiencies
Regulatory Compliance
Mind Share
Progress in value chain
Monetize existing data
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TDWI research : Based on answers from 388 respondents
77% areBusiness executives and management
58% areBusiness Analysts
55% areDepartmental Managers
IT Executives
Data Analysts or Scientists
Front line employees
38%
37%
25%Operations / SCM
Customers
Partners & Suppliers
24%
14%
8%
Primary users of Data Visualization
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Who in your organization develops & deploys Visualization?
The gap is fast reducing.. Thanks to the New self-service and personalizationTechnologies.
TDWI research : Based on answers from 388 respondents
Business executives are the largestConsumers of Data Visualization
This era is characterized by business analyst / users making and also consuming their own data through visualizations..
Can the IT developers make themselves more relevant?
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Our 3D Framework
DATA
Data Accuracy Visual Querying Multi-dimensional Personalization
DESIGN Know your
audience Personalization Collaboration
DISCOVERY
Keep it simple HighlightBU
SIN
ES
S K
NO
WLE
DG
E
DATA VISUALIZATION PRODUCTS
INFO
RM
ATIO
N D
ELI
VE
RY
ME
THO
DS
ComponentsPrinciples
Enablers
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You’ve got to start with the customer experience and work back toward the technology – not the other way around
STEVE JOBS
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Know your audience
Challenges
Lack of participation from business users
Best Practices
Conduct business workshops to finalize the requirements document
Low / No awareness about the business or domain
Data Visualization created in silos
Make sure you understood the data that is required
Get a sign off first on the design and layout
Break it down to individual parts / graphs / quadrants and take a sign off
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How not to do it – CEO Dashboard for a manufacturing co.
Is this for the CEO or Production head?
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How best can it be done – CEO Dashboard for a manufacturing co.
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One more way to do it..
KPI Map
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Highlight
Challenges
Limited space for utilization
Recommendations
Color : Contrast
Limited or Excess data to show
Color : Intensity
Position Motion Alert
Length Width
Size Shape
Harvey Balls
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Demo – (Alerts) Disbursement Dashboard
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Visual Querying
Challenges
How many drill-downs?
Best Practices
Information relevance
How to showcase correlations?
Sequence of clicks
How to avoid information chaos?
Present the Metadata
Parent child relationship
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Demo – Excel Illustration
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Demo – NPA Analysis
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Personalization
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Personalization
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Personalization
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Personalization
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Choosing the right visualization: few examplesVisualization Type Description Chart Type
Comparison Many Items Horizontal Bar Chart
Comparison Over time: Many periods Circular Area Chart
Comparison Few Periods: Many Categories Line Chart
Relationship Two Variables Scatter Chart
Relationship Two + Variables Bubble Chart
Distribution Few Data Points Column Histogram
Distribution Three Variables 3D Area Chart
Composition Few periods: Changing over time Stacked column chart
Composition Static: simple share Pie Chart
Composition Universe of content Tree Map
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Repository of best practices
Avoid Scroll bar as far as possible
Facilitate definition of the visualization
Convert decimal points to a perfect integer
Make navigation really easy for the end user
All axes should be properly labelled
Good idea to show data quality % in the visualization
Avoid using special characters or short forms for labels
While displaying bar charts, order data in descending order
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Interested in knowing more?
Interested in knowing more about our 3D Framework for Data Visualization & how it can add value to your clients?
Then, our dedicated training workshops on the “The Art & Technique of Data Visualization” is the best forum to learn more practical and industry accepted methods on improving data visualization.
Contact: [email protected]@compulinkacademy.com
Stay tuned for our next webinar on “Text Analytics”
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Let’s hear it from you