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Solving Real Business Problems with
Big Data: Measuring Customer Loyalty
in the Connected World
Real Time Market Data & Analysis for the Telecom Industry
2
Who is Comlinkdata?
We’re solving
real business
problems using
big data and
analytics
A leading provider
of real-time market
data on the buying
behaviors of
communications
customers.
=
Real Time Market Data & Analysis for the Telecom Industry
3
Building A Big Data Business
Founded
Comniscient
Technologies
Core
Switching
Methodology
Developed
Initial data
visualization
and
validation
Correlation
and testing
against
public data
Market
testing and
beta
customers
Core product
team hired.
Launched
Comlinkdata
brand.
SaaS
Platform
general
availability
Key renewals
fueled by 2nd
SaaS offering
MarketVision
Launched U.S.
wireline
platform
Release
date for
Voice of
Customer
platform
Roll out
MarketVision
for wireline
Launch Canada
product
Launch
connected
consumer
branding
201
0
201
1
201
2
201
3
201
4
201
5
201
6
Real Time Market Data & Analysis for the Telecom Industry
4
So what’s the business problem?
• Which service providers
own each individual
relationship?
• Which customers are
most valuable and where
can I find them?
• Which acquisition and
retention campaigns are
most effective?
• How well are my
competitors performing?
Real Time Market Data & Analysis for the Telecom Industry
5
We’ve started with the relationship that
matters most currently
Customer and their
wireless service provider
Real Time Market Data & Analysis for the Telecom Industry
6
The days of loyalty are fleeting.
• No contract plans
• BYOD offers
• Early termination fee payouts
• Competitive new & current customer offers
• No exclusive devices
• Standalone OTT offers
Real Time Market Data & Analysis for the Telecom Industry
7
The “Who,” “When” & “Where”
Real-time Switching Data
50,000+ transactions per day
18MM+ transactions per year
3 Terabytes of Disk Space
4 years of data and growing
Real Time Market Data & Analysis for the Telecom Industry
8
To understand why, we source
supplementary data
Real-time Telecom
Switching Data
Advertising Spend
Direct Mail Volume
Device Portfolio Coverage/Speeds
Social Media
Marketing Events
Distribution
Demographics
Real Time Market Data & Analysis for the Telecom Industry
9
The real value is in the “why”
Our Marketing Events
database notes that
Sprint ran a promotion
for MVNO Boost Mobile
where it offered $100 to
switch, but suspended
the promotion between
June 30 and July 31.
Real Time Market Data & Analysis for the Telecom Industry
10 Data Flow
S
3
SQL Server
EC2
Job
Scheduler
Application
Servers
EC2
Real Time Market Data & Analysis for the Telecom Industry
11
Data flow timeline
Real Time Market Data & Analysis for the Telecom Industry
12
Data-Powered Products
Our products must be
highly customizable to
work appropriately for
the different types of
clients we have
Real Time Market Data & Analysis for the Telecom Industry
13
Front end framework
Java Servlets API
1. Parse queries
2. Fetch data
3. Construct JSON
Service Layer
Web Application
Javascript, HTML5,
CSS3
jQuery, AngularJS, D3.js,
Twitter Bootstrap, Font
Awesome
Front End
Real Time Market Data & Analysis for the Telecom Industry
14
Business case: Measuring
retention of most loyal customers
Recently, Sprint has done a better job at holding onto
high-value customers, but AT&T has been losing their
most loyal at a higher rate.
Real Time Market Data & Analysis for the Telecom Industry
15
VOC Data Flow
Real Time Market Data & Analysis for the Telecom Industry
16
VOC Data Vendor Timeline
Real Time Market Data & Analysis for the Telecom Industry
17
VOC Business Case: Measuring
loyalty during outrage
In June 2013, the press revealed that Verizon had provided the
NSA with millions of phone records. Twitter outrage ensued.
Real Time Market Data & Analysis for the Telecom Industry
18 Nearly 60% of Tweeters who mentioned
leaving their carrier on 6/6/13 cited leaving
Verizon, but we saw no effect on loss share.
Real Time Market Data & Analysis for the Telecom Industry
19
What challenges lie ahead?
As the ecosystem of connected devices expands, the subscriber
/service provider relationship will become more valuable and more
difficult to understand
Finding the right additional data sources to expand our product
capabilities
Increasing volatility in the industry will make buying behavior
attributions more challenging
With long-tenured customers proving to be increasingly vulnerable,
we may need to redefine high-value, low-value and loyalty.

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Solving Real Business Problems with Big Data: Measuring Customer Loyalty in the Connected World

  • 1. This presentation and the information contained herein is confidential. By your acceptance and review of this presentation, each recipient agrees that it will not, and shall assure that its employees, agents, representatives and advisors will not copy, reproduce or distribute this presentation, in whole or in part, without the prior written consent of Comniscient Technologies LLC, and that it will keep confidential all information contained herein which is not already in the public Solving Real Business Problems with Big Data: Measuring Customer Loyalty in the Connected World
  • 2. Real Time Market Data & Analysis for the Telecom Industry 2 Who is Comlinkdata? We’re solving real business problems using big data and analytics A leading provider of real-time market data on the buying behaviors of communications customers. =
  • 3. Real Time Market Data & Analysis for the Telecom Industry 3 Building A Big Data Business Founded Comniscient Technologies Core Switching Methodology Developed Initial data visualization and validation Correlation and testing against public data Market testing and beta customers Core product team hired. Launched Comlinkdata brand. SaaS Platform general availability Key renewals fueled by 2nd SaaS offering MarketVision Launched U.S. wireline platform Release date for Voice of Customer platform Roll out MarketVision for wireline Launch Canada product Launch connected consumer branding 201 0 201 1 201 2 201 3 201 4 201 5 201 6
  • 4. Real Time Market Data & Analysis for the Telecom Industry 4 So what’s the business problem? • Which service providers own each individual relationship? • Which customers are most valuable and where can I find them? • Which acquisition and retention campaigns are most effective? • How well are my competitors performing?
  • 5. Real Time Market Data & Analysis for the Telecom Industry 5 We’ve started with the relationship that matters most currently Customer and their wireless service provider
  • 6. Real Time Market Data & Analysis for the Telecom Industry 6 The days of loyalty are fleeting. • No contract plans • BYOD offers • Early termination fee payouts • Competitive new & current customer offers • No exclusive devices • Standalone OTT offers
  • 7. Real Time Market Data & Analysis for the Telecom Industry 7 The “Who,” “When” & “Where” Real-time Switching Data 50,000+ transactions per day 18MM+ transactions per year 3 Terabytes of Disk Space 4 years of data and growing
  • 8. Real Time Market Data & Analysis for the Telecom Industry 8 To understand why, we source supplementary data Real-time Telecom Switching Data Advertising Spend Direct Mail Volume Device Portfolio Coverage/Speeds Social Media Marketing Events Distribution Demographics
  • 9. Real Time Market Data & Analysis for the Telecom Industry 9 The real value is in the “why” Our Marketing Events database notes that Sprint ran a promotion for MVNO Boost Mobile where it offered $100 to switch, but suspended the promotion between June 30 and July 31.
  • 10. Real Time Market Data & Analysis for the Telecom Industry 10 Data Flow S 3 SQL Server EC2 Job Scheduler Application Servers EC2
  • 11. Real Time Market Data & Analysis for the Telecom Industry 11 Data flow timeline
  • 12. Real Time Market Data & Analysis for the Telecom Industry 12 Data-Powered Products Our products must be highly customizable to work appropriately for the different types of clients we have
  • 13. Real Time Market Data & Analysis for the Telecom Industry 13 Front end framework Java Servlets API 1. Parse queries 2. Fetch data 3. Construct JSON Service Layer Web Application Javascript, HTML5, CSS3 jQuery, AngularJS, D3.js, Twitter Bootstrap, Font Awesome Front End
  • 14. Real Time Market Data & Analysis for the Telecom Industry 14 Business case: Measuring retention of most loyal customers Recently, Sprint has done a better job at holding onto high-value customers, but AT&T has been losing their most loyal at a higher rate.
  • 15. Real Time Market Data & Analysis for the Telecom Industry 15 VOC Data Flow
  • 16. Real Time Market Data & Analysis for the Telecom Industry 16 VOC Data Vendor Timeline
  • 17. Real Time Market Data & Analysis for the Telecom Industry 17 VOC Business Case: Measuring loyalty during outrage In June 2013, the press revealed that Verizon had provided the NSA with millions of phone records. Twitter outrage ensued.
  • 18. Real Time Market Data & Analysis for the Telecom Industry 18 Nearly 60% of Tweeters who mentioned leaving their carrier on 6/6/13 cited leaving Verizon, but we saw no effect on loss share.
  • 19. Real Time Market Data & Analysis for the Telecom Industry 19 What challenges lie ahead? As the ecosystem of connected devices expands, the subscriber /service provider relationship will become more valuable and more difficult to understand Finding the right additional data sources to expand our product capabilities Increasing volatility in the industry will make buying behavior attributions more challenging With long-tenured customers proving to be increasingly vulnerable, we may need to redefine high-value, low-value and loyalty.