CEBIT 2015 BARC Forum BI-Everywhere Klaus-Dieter Schulze CC Business Intelligence NTT Data Deutschland GmbH Copyright © 2015 NTT DATA Deutschland GmbH Treiber der BI Entwicklung Open Data Self Service Hadoop Visualisierung Reporting Big Data Mobility BCBS 239 Regulatorik EMIR/ REMIT Copyright © 2015 NTT DATA Deutschland GmbH Digitalisierung Security 2 Beispiel Big Data Business Services Best of breed in accurate real-time traffic, historical and predictive traffic services on freeways, highways and secondary roadways, including arterials and city streets, traffic warning, real-time wrong-way recognition, … Analytics ÖV Anbieter Communities Medien Presse Content Anbieter Datenmarktplatz Städte Verkehrsrechnerzentralen Verkehrslageanbieter Parkflächen Anbieter Flotten xFCD Polizei Landesmeldestellen Copyright © 2015 NTT DATA Deutschland GmbH 3 Beispiel Digitalisierung i-Mobility Automotive E-Call Information & Traffic & B-Call Entertainment Navigation Comfort Car-related EV & Smart Device Features Services Accessories Integration E-Mobility Access Couponing M-Payment, M-Ticket, Mobile Wallet Charge & Park Mobility Services Smart Cities Public Transport Public & Financial Services New Business Models Intermodality Charging Assistance Services Roaming System/Process Integration E-Call/ B-Call/Police/ Emergency/Towing/ Repair Innovative Insurance Tariffs Copyright © 2015 NTT DATA Deutschland GmbH Connected Vehicle Cloud Services Cross Industry Smart Grid Cross Countries Cross Culture Charging Management Parking Smart Home Renewable Energies Car2X Telco, Utilities, Logistics 4 Zunehmende Durchdringung Copyright © 2015 NTT DATA Deutschland GmbH 5 Ableitungen aus neuen Anforderungen Daten • • Apps Periode Klassische Anforderungen • • • • • Intern Strukturiert Monatlich Wöchentlich Täglich Standardreporting Ad Hoc Reporting Klassische DWH Architektur Copyright © 2015 NTT DATA Deutschland GmbH Neue Anforderungen • • •• Erweiterung der internen Daten (z.B. Sensordaten; Granularität der Daten) Externe Daten Polystrukturierte Daten Right Time • Streaming • • Preditive Analytics Automatisierte Entscheidungen Analytisches Ecoystem 6 Neue Use Case treiben die Entwicklung Business Value Analytical Ecosystem Transformation Step n Transformation Step 1 As-Is Situation Time Copyright © 2015 NTT DATA Deutschland GmbH 7 Copyright © 2015 NTT DATA Deutschland GmbH The information contained in this document is the property of NTT DATA. Copying, publishing or distribution of the material contained in this document is prohibited, without the prior written consent of NTT DATA
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