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The Business Case around Tariff & Pricing Dr. Stefan Schwarz, Director Telecommunication, Media & Entertainment, Teradata GmbH 26 March, 2015

ClintWorld User Conference 2015 - Stefan Schwarz

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Page 1: ClintWorld User Conference 2015 - Stefan Schwarz

The Business Case around Tariff & Pricing Dr. Stefan Schwarz,

Director Telecommunication, Media & Entertainment, Teradata GmbH

26 March, 2015

Page 2: ClintWorld User Conference 2015 - Stefan Schwarz

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Big Data

The C-level view

Brute force vs. selected action

Agenda

© 2014 Teradata 2

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Big Data – a big hype

Fraud detection

Multi Channel

Pattern

New account

activation paths

In store customer

experience Network analytics

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“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

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Typical OPEX Breakdown for a European Mobile Operator (% of Total Opex)

Source: Capgemini TME Lab Analysis based on operator annual reports and industry reports

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“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

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Is this still the right thing to do?

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Subsidy Retail

Commission

Post-pay

Some telcos try to act with brute force …

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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.

Page 10: ClintWorld User Conference 2015 - Stefan Schwarz

DISCOVERY PLATFORM

INTEGRATED DATA WAREHOUSE

ERP

SCM

CRM

Image

s

Audio

and

Video

Machine

Logs

Text

Web

and

Social

SOURCES

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

ACCESS MANAGE MOVE

UNIFIED DATA ARCHITECTURE Business Conceptual View

Fast-Fail Hypothesis Testing

Teradata Customer Management Cases

RETENTION VALUE MGMT AQUISITIION

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

Page 11: ClintWorld User Conference 2015 - Stefan Schwarz

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Example 1: Churn inducing upselling

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Use Case Example 1: Avoiding useless retention

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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%

Nu

mb

er

of

cust

om

ers

Saving potential actual product compared to competition

Ch

urn

rate

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

Page 14: ClintWorld User Conference 2015 - Stefan Schwarz

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Use Case Example 2: Avoid churn inducing upsell activity

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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%

Nu

mb

er

of

cust

om

ers

Saving potential actual product compared to competition

Ch

urn

rate

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

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Use Case Example 3: Acquiring customers for the right/best price

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How can you help reducing product cannibilization?

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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

& Commisions Insufficient Retention

Manual

Portfolio

Maintenance

Low Affinity

Upselling Offer

Billing errors

Overall potential calculates as 7,1% of total company revenue

Saving

potential [% of

opportunity value]

Value of

opportunity [% of

company revenue]

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Summary & Outlook

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Dr. Stefan Schwarz Director Industry Consulting Telco, Media & Entertainment

TERADATA M: +49-173-74-88381 [email protected]