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The Art & technique of Data Visualization
Welcome to the webinar on
Presented by
&
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
Why BI projects fail?
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.
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
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
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?
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
You’ve got to start with the customer experience and work back toward the technology – not the other way around
STEVE JOBS
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
How not to do it – CEO Dashboard for a manufacturing co.
Is this for the CEO or Production head?
How best can it be done – CEO Dashboard for a manufacturing co.
One more way to do it..
KPI Map
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
Demo – (Alerts) Disbursement Dashboard
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
Demo – Excel Illustration
Demo – NPA Analysis
Personalization
Personalization
Personalization
Personalization
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
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
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”
Let’s hear it from you