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​The Business Case around Tariff & Pricing
​Dr. Stefan Schwarz,
​ Director Telecommunication, Media & Entertainment, Teradata GmbH
​26 March, 2015
2
​Big Data
​The C-level view
​Brute force vs. selected action
Agenda
© 2014 Teradata2
3
Big Data – a big hype
Fraud detection
Multi Channel
Pattern
New account
activation paths
In store customer
experienceNetwork analytics
4
“The business model for mobile
operators in developed markets will
go cash flow-negative within the
next strategic investment cycle.“
McCahill, Tellabs
Therefore two main questions that keep most
telco CxOs awake at night:
1.How can I SIGNIFICANTLY reduce opex?
2.How can I generate additional revenues?
As the days of milk and honey are over operators need
to seriously focus on cost and new revenue
5
Typical OPEX Breakdown for a European Mobile Operator
(% of Total Opex)
Source: Capgemini TME Lab Analysis based on operator annual reports and industry reports
6
“On average Telcos spend
approx. 27% of their overall
opex on customer acquisition
& retention!
Source: CapGemini
CapGemini TME Lab Analysis based on operator annual
reports and industry reports
7
Is this still the right thing
to do?
8
Subsidy
Retail
Commission
Post-pay
Some telcos try to act with brute force …
9
But perhaps the axe is not the best tool …
Starting in the late
1880s, the Swiss
Army Knife was used
to open canned food
and disassemble the
Swiss service rifle,
the Schmidt-Rubin
M1889, which required
a screwdriver for
assembly.
DISCOVERY
PLATFORM
INTEGRATED DATA
WAREHOUSE
ERP
SCM
CRM
Image
s
Audio
and
Video
Machin
e
Logs
Text
Web
and
Social
SOURCE
S
DATA
PLATFORM
Business Intelligence
Predictive Analytics
Operational
Intelligence
Data Discovery
Path, graph, time-
series analysis
Pattern Detection
Fast Data
Loading &
Availability
Filtering &
Processing
Deep
History:
Online
Archival
ACCESSMANAGEMOVE
UNIFIED DATA ARCHITECTURE
Business Conceptual View
Fast-Fail Hypothesis
Testing
Teradata Customer Management Cases
RETENTIONVALUE MGMTAQUISITIION
Integrated
Comm.,
Price Promo
& Subs
Avoiding
churn
inducing
upsell
Avoid
Useless
retention
Low Affinity
Products
Under-
estimated
Usage
Elasticity
Insufficient
Retention
Manual
Portfolio
Mgmt.
Product
Cannibi-
lization
CEM based
retention
Integrated
Comm.,
Price Promo
& Subs
Avoiding
churn
inducing
upsell
Avoid
Useless
retention
11
Example 1: Churn inducing upselling
12
Use Case Example 1: Avoiding useless retention
13
Avoid useless retention
0,0%
2,0%
4,0%
6,0%
8,0%
10,0%
12,0%
0
2000
4000
6000
8000
10000
12000
10% 14% 18% 22% 26% 30% 34% >38%
Numberofcustomers
Saving potential actual product compared to competition
Churnrate
Price independent churn
Price related churn
20.000
16.666
13.333
10.000
6.666
3.333
0
3% 6% 9% 12% 15% 18% 21% 24%
6%
5%
4%
3%
2%
1%
0
14
Use Case Example 2: Avoid churn inducing upsell activity
15
Avoid churn inducing upsell activity
0,0%
2,0%
4,0%
6,0%
8,0%
10,0%
12,0%
0
2000
4000
6000
8000
10000
12000
10% 14% 18% 22% 26% 30% 34% >38%
Numberofcustomers
Saving potential actual product compared to competition
Churnrate
Price independent churn
Price related churn
20.000
16.666
13.333
10.000
6.666
3.333
0
3% 6% 9% 12% 15% 18% 21% 24%
6%
5%
4%
3%
2%
1%
0
16
Use Case Example 3: Acquiring customers for the
right/best price
17
How can you help reducing product cannibilization?
18
Value of customer management opportunities
0,0%
10,0%
20,0%
30,0%
40,0%
50,0%
60,0%
70,0%
80,0%
90,0%
100,0%
0,0% 1,0% 2,0% 3,0% 4,0% 5,0% 6,0% 7,0%
Useless Retention
Underestimate
d Usage
Elasticity
Product
Cannibalization
Integrated Subs
& CommisionsInsufficient Retention
Manual
Portfolio
Maintenance
Low Affinity
Upselling Offer
Billing errors
Overall potential calculates as 7,1% of total company revenue
Saving
potential
[% of
opportunit
y value]
Value of
opportunity [% of
company revenue]
19
Summary & Outlook
20
Dr. Stefan Schwarz
Director Industry Consulting Telco,
Media & Entertainment
TERADATA
M: +49-173-74-88381
stefan.schwarz@teradata.com

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ClintWorld User Conference 2015 - Stefan Schwarz

  • 1. ​The Business Case around Tariff & Pricing ​Dr. Stefan Schwarz, ​ Director Telecommunication, Media & Entertainment, Teradata GmbH ​26 March, 2015
  • 2. 2 ​Big Data ​The C-level view ​Brute force vs. selected action Agenda © 2014 Teradata2
  • 3. 3 Big Data – a big hype Fraud detection Multi Channel Pattern New account activation paths In store customer experienceNetwork analytics
  • 4. 4 “The business model for mobile operators in developed markets will go cash flow-negative within the next strategic investment cycle.“ McCahill, Tellabs Therefore two main questions that keep most telco CxOs awake at night: 1.How can I SIGNIFICANTLY reduce opex? 2.How can I generate additional revenues? As the days of milk and honey are over operators need to seriously focus on cost and new revenue
  • 5. 5 Typical OPEX Breakdown for a European Mobile Operator (% of Total Opex) Source: Capgemini TME Lab Analysis based on operator annual reports and industry reports
  • 6. 6 “On average Telcos spend approx. 27% of their overall opex on customer acquisition & retention! Source: CapGemini CapGemini TME Lab Analysis based on operator annual reports and industry reports
  • 7. 7 Is this still the right thing to do?
  • 9. 9 But perhaps the axe is not the best tool … Starting in the late 1880s, the Swiss Army Knife was used to open canned food and disassemble the Swiss service rifle, the Schmidt-Rubin M1889, which required a screwdriver for assembly.
  • 10. DISCOVERY PLATFORM INTEGRATED DATA WAREHOUSE ERP SCM CRM Image s Audio and Video Machin e Logs Text Web and Social SOURCE S DATA PLATFORM Business Intelligence Predictive Analytics Operational Intelligence Data Discovery Path, graph, time- series analysis Pattern Detection Fast Data Loading & Availability Filtering & Processing Deep History: Online Archival ACCESSMANAGEMOVE UNIFIED DATA ARCHITECTURE Business Conceptual View Fast-Fail Hypothesis Testing Teradata Customer Management Cases RETENTIONVALUE MGMTAQUISITIION Integrated Comm., Price Promo & Subs Avoiding churn inducing upsell Avoid Useless retention Low Affinity Products Under- estimated Usage Elasticity Insufficient Retention Manual Portfolio Mgmt. Product Cannibi- lization CEM based retention Integrated Comm., Price Promo & Subs Avoiding churn inducing upsell Avoid Useless retention
  • 11. 11 Example 1: Churn inducing upselling
  • 12. 12 Use Case Example 1: Avoiding useless retention
  • 13. 13 Avoid useless retention 0,0% 2,0% 4,0% 6,0% 8,0% 10,0% 12,0% 0 2000 4000 6000 8000 10000 12000 10% 14% 18% 22% 26% 30% 34% >38% Numberofcustomers Saving potential actual product compared to competition Churnrate Price independent churn Price related churn 20.000 16.666 13.333 10.000 6.666 3.333 0 3% 6% 9% 12% 15% 18% 21% 24% 6% 5% 4% 3% 2% 1% 0
  • 14. 14 Use Case Example 2: Avoid churn inducing upsell activity
  • 15. 15 Avoid churn inducing upsell activity 0,0% 2,0% 4,0% 6,0% 8,0% 10,0% 12,0% 0 2000 4000 6000 8000 10000 12000 10% 14% 18% 22% 26% 30% 34% >38% Numberofcustomers Saving potential actual product compared to competition Churnrate Price independent churn Price related churn 20.000 16.666 13.333 10.000 6.666 3.333 0 3% 6% 9% 12% 15% 18% 21% 24% 6% 5% 4% 3% 2% 1% 0
  • 16. 16 Use Case Example 3: Acquiring customers for the right/best price
  • 17. 17 How can you help reducing product cannibilization?
  • 18. 18 Value of customer management opportunities 0,0% 10,0% 20,0% 30,0% 40,0% 50,0% 60,0% 70,0% 80,0% 90,0% 100,0% 0,0% 1,0% 2,0% 3,0% 4,0% 5,0% 6,0% 7,0% Useless Retention Underestimate d Usage Elasticity Product Cannibalization Integrated Subs & CommisionsInsufficient Retention Manual Portfolio Maintenance Low Affinity Upselling Offer Billing errors Overall potential calculates as 7,1% of total company revenue Saving potential [% of opportunit y value] Value of opportunity [% of company revenue]
  • 20. 20 Dr. Stefan Schwarz Director Industry Consulting Telco, Media & Entertainment TERADATA M: +49-173-74-88381 stefan.schwarz@teradata.com