DATA ANALYTICS@DT Dr. Jan Krancke, VP Regulatory Strategy & Projects CERRE Expert Workshop, Brussels re3rerererewr
SMART DATA MARKET SMART DATA BENEFITS ECONOMY AS A WHOLE Use Case Spectrum Enterprise Customer (B2B) Smarter Security Analytics Procurement Traffic & Diagnostic Efficient Fleet mgmt. Energy Management Quality Monitoring Market Insights Marketing Audit Dynamic Trend Analysis Targeted Advertising Real time Targeting Mass Market (B2B2C) Data Challenges Volume Velocity Variety Value Peta-/ Terabytes Trust and Privacy Management (Near) Real time Structured & Unstructured Data Advanced (Predictive) Analytics Data Sources (Internal & External) Machine generated Process mediated Human sourced 2
DATA ANALYTICS BUSINESS MODELS FOR DT SMART DATA IN CORE TELCO Increase of customer satisfaction Service & process optimization Cost reduction SMART DATA AS A SERVICE Consulting Cloud based Big Data solutions On demand delivery model DATA DRIVEN BUSINESS MODELS Data Analytics and datadriven applications based on own, accessible and external data Main business driver Main business driver Main business driver TELEKOM DEUTSCHLAND NATCOS DIGITAL BUSINESS UNIT 23.05.2014 3
COLLECTION OF DATA: UNLIMITED VS. RESTRICTIVE High economic value of personal data in a digitalized world.easy way of legitimizing use of data and high penetration are key success factors US-Players in Europe: national Players under German law: CONSENT IS GIVEN IN GENERAL TERMS AND CONDITIONS WITHOUT EXPLICIT CONSENT IS NEEDED, E.G. TICKING A CHECKBOX EXPLICIT CHECKBOX low entry barriers high penetration high entry barriers low penetration
DEUTSCHE TELEKOM AND CUSTOMER TRUST Which company do you consider to be trustworthy when it comes to dealing with personal data? Survey conducted by IfD Allensbach (Institut für Demoskopie), June 2014 46% 24% 24% 24% 23% 21% 21% 21% 19% 18% 17% 15% 11% 9% 8% Telekom Microsoft Apple Vodafone Web.de GMX ebay E-Plus Amazon O2 1 & 1 Google Yahoo Alice Facebook 2/17/2015 5
DEUTSCHE TELEKOM'S PRINCIPLES ON DATA ANALYTICS 1. Deutsche Telekom is aware of its social responsibility and will adopt the sensitive approach required in the development of big data solutions. 2. Deutsche Telekom is transparent with regard to its plans for big data and big data solutions, and seeks exchange with supervisory authorities, politics, state and non-state institutions as well as customers and citizens. 3. Deutsche Telekom generally anonymizes all data it uses in big data solutions, making it impossible to draw any conclusions about individual persons. Anonymization takes place at source or as near to the source as possible. 4. Deutsche Telekom is committed to a culture of consent and will only integrate personal information in its big data solutions if this is necessary and if expressly authorized to do so by its owners. 5. Deutsche Telekom will only match anonymized data from various sources in such way that it can never be traced back directly to individual persons. 6. Deutsche Telekom will only evaluate information about groups of people if it can be sure that this step will not lead to results exposing a group to the risk of discrimination. 7. Deutsche Telekom does not disclose customer data to third parties, only the results of its own internal analysis. 8. Deutsche Telekom will provide transparent information on any changes that may be made to these principles. 17.02.2015 6
REQUIREMENTS FOR DATA ANALYTICS UNDER GERMAN LAW Personal Data Personal data is any information concerning the personal or material circumstances of an identified or identifiable natural person Anonymized Data Rendering anonymous means the alteration of personal data so that information concerning personal or material circumstances cannot be attributed to an identified or identifiable natural person or that such attribution would require a disproportionate amount of time, expense and effort 1 Counted Gender: Male Age: 29 ZIP: 1012 Customer ID: 123 Gender: Female Age: 45 ZIP: 4212 Customer ID: 456 Statistically estimated CRM Data Law: Opt-in required for processing Opt-in not required for processing Rapid adoption of the EU General Data Protection Regulation, including amendments proposed by the European Parliament catering for smart data business models. Renegotiate Safe Harbour agreement with the U.S. EU data protection rules must also apply to overseas suppliers offering their services in the EU. 23.05.2014 7
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