Mastering the big data challenge as a telecommunication operator

Dr. Susan Wegner - Vice President Smart Data Analytics & Communications

D&A Insights: Berlin 2016

Big data business cycle

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How does the

data cycle

work?

Milestones of digitalization

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Milestones of digitalization

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13 Pilots (5 good cases)

17 Employees, 8 dedicated TSI sales specialists

Certification of anonymizing process

Launched in March 2015 (CeBIT)

www.motionlogic.de

We already use big data to for disruptive innovation

DATA PRIVACY is an EUROPEAN-WIDE COMPETITIVE ADVANTAGE

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Processing of personal Data in principle permitted

Processing of personal Data in principle prohibited

Unless explicitly Prohibited

Unless explicitly Permitted

United states Europe

Commercialization of data Protection of data

No right to informational self-determination

No consistent, comprehensive privacy law, only sectorial guidelines

No stringent requirements on transparency

Only generic approval of concerned parties (e.g. terms and condition)

Fundamental right to informational self-determination

Comprehensive privacy law for all sectors and detailed legal acts

Very high requirements on transparency

Concrete approval of concerned parties limited to a definite purpose

The big data principles at Deutsche Telekom

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Responsibility

Transparency

ANONYMIzation

Approval

DATA ANALYTICS

No discrimination

No customer data to 3rd parties

INFORMATION

Milestones of digitalization

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SYNTHETIC DATA for customers data privacy protection

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Data Cockpit - Innovating the Management of permissions

Data Cockpit is a first-of-its-kind product

Providing (controlled) transparency about personal data

Offering customers attractive use cases as incentive to share additional data

Unique positioning to let customers promote and manage additional permissions in exchange for related benefits (first mover!)

Substantial improvement of customer insights creates unique competitive advantage for CRM

Strengthened core brand value “trust” & improved customer experience as major differentiators in the market

Transparency

Get a clear

overview over all

your stored personal data

Control Decide which data

you want to share

Customer Benefits

Get innovative

benefits – let your data work for you

Milestones of digitalization

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Innovation based

on boundaries

Be agile and adapt

Diffusion tracking – IDENTIFIES INFLUENCIAL AUTHORS

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Diffusion tracking analysis. Improved technology for automated identification of opinion leaders and

key/boost authors in social media.

Productization happens in an operative ecosystem

Together with technology partners we assure

- Market impacting use cases

- Modular extendable market ready products

- Effective business / transfer activities

Patents ensure our uniqueness on the market

EFFECTIVE Go-to-market with external partner

DIFFTRACK: developed by T-labs

Milestones of digitalization @ T-labs

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Milestones of digitalization @ T-labs

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Big data competence team Ensures Maximization of Big data BENEFITs

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BIG DATA

Competence team

Create transparency on activities, partners, best practices

Set data requirements and success factors

Solving Big Data issues within DT

TRANSPARENCY

Set mid-/long-term guidance

Prioritize high value use cases

Advice for allocation of resources and investment

Alignment

Create synergies of similar use cases

Open way for shared infrastructures & services

Enable joint projects/ cooperation

SYNERGIES

We have THREE OPERATING MODES for efficient execution

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BIG DATA IN CORE TELCO BIG DATA AS A SERVICE DATA DRIVEN BUSINESS MODELS

Customer satisfaction increase Service & process optimization Cost reduction & revenue increase

Consulting

Cloud based Big Data solutions

On demand delivery model

Big Data analytics and data driven applications based on internal and external data

A B C

DATA LAB (Proof of concept environment & knowledge sharing across segments)

Productization on Big Data Infrastructure

T-Labs

T-Systems

Competence team

Data Lab - COLLABORATION TO ENABLE SMART DATA innovation

We Know how Transfer of Use case experience

Business Modeling Professional Ideation and Design Thinking

Infrastructure & Tools Cutting Edge Big Data Technologies

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At the Data lab we have competent end-to-end PoC Realization process

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Onboarding Building a Team

Ideation What do we want

Foundational Setup Getting ready

POC Development Let’s do it

Handover Product Transfer

Proof of concept environment

Given the topology of a network and historic outage reports: how to predict PROBABILITY and SEVERITY of outages?

Approach: apply network centrality measures for improved outage prediction

Use case description

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we investigated How network complexity impacts the PROBABILITY and SEVERITY of outages

www.laboratories.telekom.com @T_Labs

Thank you

WE SHAPE THE FUTURE

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