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we connect. we deliver.
The Power of
Data Visualization
Dr. Gautham Pallapa
Director of Information Services
West Corporation
April 18, 2016
3
Who is West?
4BTexts, voice alerts,
emails and
notifications
64BVoice minutes
annually
159MConference calls
annually
290M911 calls per year
Market-leader with nearly
30 years of experience,
driving cloud-based
communication solutions
for a connected customer
experience
West Services and Solutions
Revenue Generation Health Advocate Cost Management
Conferencing Messaging & Presence Tools Voice & Networking Digital Media Services
IVR & Self-Service Proactive Notifications & Mobility Cloud Contact Center Professional Services
Wireline Mobility Government Solutions
Toll-Free Services Direct Inward Dialing Termination Services
S A F E T Y S E R V I C E S
U N I F I E D C O M M U N I C AT I O N S S E R V I C E S
I N T E R A C T I V E S E R V I C E S
S P E C I A L I Z E D A G E N T S E R V I C E S
T E L E C O M S E R V I C E S
4
Solutions Customized By Industry
• Voice Platform
• Speech Services
• Application Development
and Testing
• Multi-Channel Notifications
• SMS Text Conversations
• Campaign Administration
• Preference Management
• Multi-channel Integration and
Routing
• Secure Transactions
• Contact Center Optimization
• Assessments and Design
• Strategic Account Support
• Network Management
and Security
• Business Analytics
IVR & Self-Service
Proactive
Communications & Mobility
Cloud Contact Center
Professional Services
NEARLY
3.5 BILLION
U N I Q U E C O N N E C T I O N S A N N U A L LY
6
Internet of Things
* As a Service (S/P/I)
Smart Devices
Always On
Social Media
User Behavior Change
Data Mining
Driver for Data Visualization
Credit: http://scet.berkeley.edu/big-data-solutions-for-small-firms/
Modern equivalent of Visual Communication
• Communicate information clearly and efficiently to users via descriptive
statistics
• Make complex data more accessible, understandable and usable
• Help users analyze and reason about data, evidence, causality, and
relationships
7
Need for Data Visualization
8
Methodology
Credit: https://en.wikipedia.org/wiki/Data_visualization
We understand better with pictures
Humans assimilate information better
9
A Picture is worth a 1000 words
10
Transformation
Credit: https://www.climate-eval.org/blog/answer-42-data-information-and-knowledge
Story
The Right Questions
Context
Roles
Visual Representation
11
Show and Tell
12
Show relationships of data points.
More used for scientific and exploratory uses
Not very useful for business cases.
Scatter plots
13
Scatter Plots
Bar Charts are common and versatile charts used for comparison.
Useful because they are so common and information is absorbed quickly.
14
Bar Charts
Useful for visualizing numbers of different magnitudes and trend analysis.
15
Area Graphs
Plot continuous data, often over time.
16
Line Graphs
Communicating one or two pieces of information
17
Simple Text
80%of the folks here are reading this slide now
18
Tables
Can communicate different
information to different audiences
• Useful when you have
mixed units of measure
19
Visualize Data from a table
Color will focus attention
Better Visual Cues
Better perception of tabular data
Heat Map
20
Combine for Powerful Visualization
21
Combine for Powerful Visualization
22
Combine for Powerful Visualization
Process of inspecting, cleaning, transforming, and modeling
• Discover useful information
• Derive meaning
• Identify Patterns
• Establish relationships
• Support decision-making
23
Data Analysis
24
Data Analysis – Misrepresentations
25
German word for 'pithiness', which means 'concise and meaningful’
More with Less
26
Primary Theme – Pragnanz
What are we trying to Visualize?
Any Use Cases?
Prior History/Knowledge?
Assumptions/Constraints
System/Environment
Roles and Responsibilities
27
Identify the following
• Key Performance Indicators / Metrics
• Tools to capture data
• Create the visual
• Tools to Interpret results
• Data Analysis and Inference
• Information Retrieval
• Knowledge Management
How to Tell a Powerful Story
Clear and clean visual layouts are better – More with Less
Remove all unnecessary clutter
Lay out data along clean straight lines
Remove or push unnecessary messaging into the background
3D should be used when you have a Z axis
28
Guidelines for Visualization
• 2 Resource Days saved for every employee @ Interactive Services (9346 hours)
• 24.5 million lines of TXL logs parsed in Preproduction: 5 Million errors identified
• 4100 Resource Hours saved through Pheme
• 3604 Defects caught to date
29
Example – Value
$1,106,343
saved in 2015
0
100
200
300
400
Requirements
Engineering
Product
Quality
Quality
Assurance
Test
Engineering
Test Lab
Throughput
Initiatives
30
Example
31
Example
32
Example
33
Example
34
The Sky’s The Limit
35
But Always Remember the User!
Performance Analysis of a new
Product release
• Release Notes/Changelog
• Prior History/Knowledge
• Assumptions/Constraints
• System/Environment
• Roles and Responsibilities
36
Identify the following
• Key Performance Indicators / Metrics
• Tools to capture data
• Create the visual
• Tools to Interpret results
• Data Analysis and Inference
• Information Retrieval
• Knowledge Management
Specific Example
Demo
Modern equivalent of Visual Communication
Data Visualization is both an art and a science
Make complex data more accessible, understandable and usable
Help users analyze and reason about data, evidence, causality, and
relationships
More with Less 38
Conclusion
Questions?
39
Exciting Stuff, Right?
Dr. Gautham Pallapa – gpallapa@west.com
https://www.linkedin.com/in/gpallapa
West Corporation – http://www.west.com
Thank You

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The Power of Data Visualization

  • 1. we connect. we deliver.
  • 2. The Power of Data Visualization Dr. Gautham Pallapa Director of Information Services West Corporation April 18, 2016
  • 3. 3 Who is West? 4BTexts, voice alerts, emails and notifications 64BVoice minutes annually 159MConference calls annually 290M911 calls per year Market-leader with nearly 30 years of experience, driving cloud-based communication solutions for a connected customer experience
  • 4. West Services and Solutions Revenue Generation Health Advocate Cost Management Conferencing Messaging & Presence Tools Voice & Networking Digital Media Services IVR & Self-Service Proactive Notifications & Mobility Cloud Contact Center Professional Services Wireline Mobility Government Solutions Toll-Free Services Direct Inward Dialing Termination Services S A F E T Y S E R V I C E S U N I F I E D C O M M U N I C AT I O N S S E R V I C E S I N T E R A C T I V E S E R V I C E S S P E C I A L I Z E D A G E N T S E R V I C E S T E L E C O M S E R V I C E S 4
  • 5. Solutions Customized By Industry • Voice Platform • Speech Services • Application Development and Testing • Multi-Channel Notifications • SMS Text Conversations • Campaign Administration • Preference Management • Multi-channel Integration and Routing • Secure Transactions • Contact Center Optimization • Assessments and Design • Strategic Account Support • Network Management and Security • Business Analytics IVR & Self-Service Proactive Communications & Mobility Cloud Contact Center Professional Services NEARLY 3.5 BILLION U N I Q U E C O N N E C T I O N S A N N U A L LY
  • 6. 6 Internet of Things * As a Service (S/P/I) Smart Devices Always On Social Media User Behavior Change Data Mining Driver for Data Visualization Credit: http://scet.berkeley.edu/big-data-solutions-for-small-firms/
  • 7. Modern equivalent of Visual Communication • Communicate information clearly and efficiently to users via descriptive statistics • Make complex data more accessible, understandable and usable • Help users analyze and reason about data, evidence, causality, and relationships 7 Need for Data Visualization
  • 9. We understand better with pictures Humans assimilate information better 9 A Picture is worth a 1000 words
  • 11. Story The Right Questions Context Roles Visual Representation 11 Show and Tell
  • 12. 12 Show relationships of data points. More used for scientific and exploratory uses Not very useful for business cases. Scatter plots
  • 14. Bar Charts are common and versatile charts used for comparison. Useful because they are so common and information is absorbed quickly. 14 Bar Charts
  • 15. Useful for visualizing numbers of different magnitudes and trend analysis. 15 Area Graphs
  • 16. Plot continuous data, often over time. 16 Line Graphs
  • 17. Communicating one or two pieces of information 17 Simple Text 80%of the folks here are reading this slide now
  • 18. 18 Tables Can communicate different information to different audiences • Useful when you have mixed units of measure
  • 19. 19 Visualize Data from a table Color will focus attention Better Visual Cues Better perception of tabular data Heat Map
  • 20. 20 Combine for Powerful Visualization
  • 21. 21 Combine for Powerful Visualization
  • 22. 22 Combine for Powerful Visualization
  • 23. Process of inspecting, cleaning, transforming, and modeling • Discover useful information • Derive meaning • Identify Patterns • Establish relationships • Support decision-making 23 Data Analysis
  • 24. 24 Data Analysis – Misrepresentations
  • 25. 25
  • 26. German word for 'pithiness', which means 'concise and meaningful’ More with Less 26 Primary Theme – Pragnanz
  • 27. What are we trying to Visualize? Any Use Cases? Prior History/Knowledge? Assumptions/Constraints System/Environment Roles and Responsibilities 27 Identify the following • Key Performance Indicators / Metrics • Tools to capture data • Create the visual • Tools to Interpret results • Data Analysis and Inference • Information Retrieval • Knowledge Management How to Tell a Powerful Story
  • 28. Clear and clean visual layouts are better – More with Less Remove all unnecessary clutter Lay out data along clean straight lines Remove or push unnecessary messaging into the background 3D should be used when you have a Z axis 28 Guidelines for Visualization
  • 29. • 2 Resource Days saved for every employee @ Interactive Services (9346 hours) • 24.5 million lines of TXL logs parsed in Preproduction: 5 Million errors identified • 4100 Resource Hours saved through Pheme • 3604 Defects caught to date 29 Example – Value $1,106,343 saved in 2015 0 100 200 300 400 Requirements Engineering Product Quality Quality Assurance Test Engineering Test Lab Throughput Initiatives
  • 36. Performance Analysis of a new Product release • Release Notes/Changelog • Prior History/Knowledge • Assumptions/Constraints • System/Environment • Roles and Responsibilities 36 Identify the following • Key Performance Indicators / Metrics • Tools to capture data • Create the visual • Tools to Interpret results • Data Analysis and Inference • Information Retrieval • Knowledge Management Specific Example
  • 37. Demo
  • 38. Modern equivalent of Visual Communication Data Visualization is both an art and a science Make complex data more accessible, understandable and usable Help users analyze and reason about data, evidence, causality, and relationships More with Less 38 Conclusion
  • 39. Questions? 39 Exciting Stuff, Right? Dr. Gautham Pallapa – gpallapa@west.com https://www.linkedin.com/in/gpallapa West Corporation – http://www.west.com