INDUSTRIAL DATA SPACE DATA ECONOMY AND ANALYTICS CONCEPTS AND IMPLEMENTATION

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1 INDUSTRIAL DATA SPACE DATA ECONOMY AND ANALYTICS CONCEPTS AND IMPLEMENTATION Big Data Summit, 28. Februar, Hanau Lars Nagel, Industrial Data Space Julia Oelgart, Head of Data Analytics, T-Systems, Deutsche Telekom Gerrit Stöhr, GESIS, Salzgitter Group

2 80+ Companies and Organisations 15+ Countries 25+ Use Cases = 1 Ecosystem 2

3 DATA SOVEREIGNTY AS BASIS FOR TRUST BETWEEN ECOSYSTEM PARTNERS Data Ownership Data Security Data Value Interoperability Data Exchange»Sharing Economy«Data Centric Services DIGITAL SOVEREIGNTY is the ability of a natural or legal person to exclusively and sovereignly decide concerning the usage of data as an economic asset. 3

4 INDUSTRIAL DATA SPACE APPROACH: SELF DETERMINED CONTROL OF DATA FLOWS Endless Connectivity Trust between different security domains Governance for the data economy standard for data flows between all kinds of data endpoints Comprehensive security functions providing a maximum level of trust usage control and enforcement for data flows 4

5 TO DO LIST INDUSTRY 4.0 AND DATA ECONOMY TRUST Trust is the basis of the IDS Identitymanagement User-certification SECURITY Everything needs to be secure Authentication & Authorisation Usage Policies & Usage Enforcement Trustworthy Communication Security by Design Techn. Certification ECOSYSTEM OF DATA Being able to explain, find and understand data Data source description Brokering Vocabulary STANDARDIZED CONNECTIVITY Connection of every data endpoint Integration of existing vocabularies Using different data formats Connection of clouds and platforms VALUE ADDING APPS Typical tasks can be solved easier with apps Processing of Data Remote Execution DATA MARKETS Data is being traded as an asset Clearing & Billing Domain specific Broker and Marketplaces Use Restrictions and Legal Aspects (Contract Templates, etc.) 5

6 REFERENCE ARCHITECTURE MODEL FUNCTIONAL ARCHITECTURE 6

7 WE PROVIDE ALL BUILDING BLOCKS TO GENERATE IOT BENEFITS FOR OUR CUSTOMERS IoT Connectivity & Devices IoT Platforms & Analytics Consulting & Integration Industry Solutions 7

8 USECASE DATA MARKET PLACE: IDS ROLES COVERED BY DATA INTELLIGENCE HUB 8

9 TELEKOM DATA INTELLIGENCE HUB DATA SOVEREIGNTY IN A TRUSTED ENVIRONMENT TRUST = industry- and technology independence + compliance with ADV/European Data Privacy rights + Data Owner in Control of Data (DATA Sovereignty) + Secure Data Exchange & Storage 9

10 TELEKOM DATA INTELLIGENCE HUB OPEN DATA ANALYTICS MARKETPLACE Components of the Data Intelligence Hub Data Providers/ Owners Analytics Insights Market Place Data Consumers Things Analytics Toolkit & WorkBench Things Data 10

11 SALZGITTER-KONZERN Flachstahl Stahl und Technologie Pipelinerohre Stahl Service Center Präzisrohre Grobblech Edelstahlrohre Profile Lagerhaltender Handel Engineering Internationales Trading Spritzgießmaschinen Getränkeabfüllanlagen 11

12 HERAUSFORDERUNG HEUTIGER INTEGRATIONSPROJEKTE Semantik des Datengebers Mapping der Daten ist erforderlich Middleware Middleware Abstimmung erfolgt bilateral Hoher Zeitaufwand pro Mapping und Partner Partner Ja Nein A Partner A B 0 1 Back-End C ja nein D J N Back-End Partner E Partner B Datengeber Datennehmer Partner D // 12 12

13 INTEGRATION VON MAPPING SERVICES Idee Semantik des Datengebers Mapping als Mikro- Services Middleware Middleware Integration der Mapping Services in bestehende oder neue Schnittstellen Wiederverwendbarkeit bei unterschiedlichen Nachrichten IDS Connector Integration bei mehreren Unternehmen Back-End IDS Connector Back-End Datengeber Mapping Service Datennehmer // 13 13

14 MAPPING SERVICES Idee Index Betreiber Mapping Service IDS Connector Betreiber Mapping Service Service je Mapping Thema Liste beteiligter Unternehmen und Datenquellen Abfrage benötigter Informationen nur bei Bedarf IDS Connector Unternehmen A IDS Connector Unternehmen B Unternehmen Kein Austausch von Detailinformationen zwischen beteiligten Unternehmen Liefert Schlüsselinformationen an Mapping Service Betreiber // 14 14

15 INDUSTRIAL DATA SPACE APPROACH: MAPPING SERVICES Reduktion des Aufwandes Jeder Partner definiert seine Schlüsselinformationen und Mapping Regeln nur ein mal Schnelle Integration Verwendung der Mapping Services innerhalb von Integrationsprojekten Anbindung neuer Partner Bilaterale Vereinbarungen sind nicht mehr erforderlich 15