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

80+ Companies and Organisations

15+ Countries

= 25+ Use Cases

1 Ecosystem

www.industrialdataspace.org

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DATA SOVEREIGNTY AS BASIS FOR TRUST BETWEEN ECOSYSTEM PARTNERS

Interoperability Data Exchange »Sharing Economy« Data Centric Services

Data Ownership Data Security

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.

Data Value

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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

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TO DO LIST INDUSTRY 4.0 AND DATA ECONOMY

TRUST

1

Trust is the basis of the IDS

Connection of every data endpoint • Integration of existing vocabularies • Using different data formats • Connection of clouds and platforms

www.industrialdataspace.org

• • • • •

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Authentication & Authorisation Usage Policies & Usage Enforcement Trustworthy Communication Security by Design Techn. Certification

VALUE ADDING APPS Typical tasks can be solved easier with apps • Processing of Data • Remote Execution

ECOSYSTEM OF DATA

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Being able to explain, find and understand data

Everything needs to be secure

• Identitymanagement • User-certification

STANDARDIZED CONNECTIVITY

SECURITY

2

• Data source description • Brokering • Vocabulary

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DATA MARKETS

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Data is being traded as an asset • Clearing & Billing • Domain specific Broker and Marketplaces • Use Restrictions and Legal Aspects (Contract Templates, etc.) 5

REFERENCE ARCHITECTURE MODEL FUNCTIONAL ARCHITECTURE

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WE PROVIDE ALL BUILDING BLOCKS TO GENERATE IOT BENEFITS FOR OUR CUSTOMERS

IoT Connectivity & Devices

IoT Platforms & Analytics

Consulting & Integration

Industry Solutions 7

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

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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

TELEKOM DATA INTELLIGENCE HUB OPEN DATA ANALYTICS MARKETPLACE Components of the Data Intelligence Hub Data Providers/ Owners

Things

Analytics Insights

Analytics Toolkit & WorkBench

Market Place

Data Consumers

Things

Data

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SALZGITTER-KONZERN

Flachstahl Stahl Service Center

Grobblech

Stahl und Technologie

Pipelinerohre Präzisrohre

Edelstahlrohre

Profile

Lagerhaltender Handel

Engineering

Internationales Trading

Spritzgießmaschinen

Getränkeabfüllanlagen 11

HERAUSFORDERUNG HEUTIGER INTEGRATIONSPROJEKTE • Mapping der Daten ist erforderlich

Semantik des Datengebers Middleware

Middleware

• Abstimmung erfolgt bilateral • Hoher Zeitaufwand pro Mapping und Partner

Back-End

Datengeber www.industrialdataspace.org

Partner

„Ja“

„Nein“

A

010

020

B

0

1

C

ja

nein

D

J

N

Partner A

Back-End

Partner E

Partner B

Datennehmer Partner D

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INTEGRATION VON MAPPING SERVICES

Idee • Mapping als MikroServices

Semantik des Datengebers Middleware

Middleware

• Integration der Mapping Services in bestehende oder neue Schnittstellen • Wiederverwendbarkeit bei unterschiedlichen Nachrichten

• Integration bei mehreren Unternehmen

IDS Connector

IDS Connector

Back-End

Datengeber www.industrialdataspace.org

Back-End

Mapping Service

Datennehmer // 13

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MAPPING SERVICES

Idee

Betreiber Mapping Service

Betreiber Mapping Service • Service je Mapping Thema

• Liste beteiligter Unternehmen und Datenquellen

Index

• Abfrage benötigter Informationen nur bei Bedarf

IDS Connector

IDS Connector

IDS Connector

Unternehmen • Kein Austausch von Detailinformationen zwischen beteiligten Unternehmen

Unternehmen A

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Unternehmen B

• Liefert Schlüsselinformationen an Mapping Service Betreiber // 14

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INDUSTRIAL DATA SPACE APPROACH: MAPPING SERVICES

Reduktion des Aufwandes

Schnelle Integration

Anbindung neuer Partner

Jeder Partner definiert seine Schlüsselinformationen und Mapping Regeln nur ein mal

Verwendung der Mapping Services innerhalb von Integrationsprojekten

Bilaterale Vereinbarungen sind nicht mehr erforderlich

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