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Next Generation DWH and Big Data - SAP Insurance Day
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Next Generation DWH and Big Data - SAP Insurance Day

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  • 1. Next Generation DWH and Big Data Muzaffer YÖNTEM –County Manager Muzaffer.yontem@mdsaptech.com.tr @myontem
  • 2. Who we are ?
  • 3. To Continually deliver world Class Solutions & Technologies with SAP “A Midis Group company & a Sybase Products Middle East affiliate company” Help Customers better use their data assets to Improve Performance and make smarter decisions Core focus on Customer satisfaction & Technology innovations © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 3
  • 4. The Group © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 4
  • 5. What we cover for insurance
  • 6. RUN OPERATIONAL Core Insurance Apps Customers Stuff Employees Suppliers © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 6
  • 7. UNDERSTAND © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 7
  • 8. UNDERSTAND ANALYTICS © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 8
  • 9. UNDERSTAND EPM Agile Visualization Advanced Analytics with Prediction Enterprise Business Intelligence © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 9
  • 10. Insurance Business Partner iPad EPM RUN Agile Visualization Advanced Analytics with Prediction Enterprise Business Intelligence © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 10
  • 11. Are they familiar quotes for you ? We still do not have constantly updated business glosarry in centeralized environment within corporate standarts complying regulation and compliance? Our enterprise architecture is not aligned with business processes and all technologies we use. We are not able to maintain our data models ? We have lots of unstructure data and we have no intelligence out of it? Social media data is valuable for us? Our campaign application İs good but we need different needs , based on event streaming?Catching fraud or event based architecture İs key !! Despite we use some datamining technologies we suffer from complexity and lack of business user involvement? How can we benefit from Social Network Analysis to increase our revenue? Our period and year end takes weeks! We can’t track and monitor entire process! Constant changes in hierarchies gives hard time to business users and IT for analytical view? We have concrete strategic plans but we can’t still collaborate it with related parties within our company ? How to align strategy with our budget? © 2014 SAP AG or an SAP affiliate company. All rights reserved. Mobility is evitable for us. We need concrete mobility strategy including predictive mobil analytics ASAP ? Everybody talks about Big data. We must work on business case of big data. Where to start? Internal 11
  • 12. Not all business intelligence is the same The analytical tools continuum Traditional Business Intelligence Exploration & Visualization OLAP & Visualization Predictive Modeling Dashboards & Scorecards Continious Intelligence Ad-hoc Reports Standard Reports Collective Insight User Engagement Organizational & Competitive Impact Big Data Analytics Maturity of Analytics Capabilities Value © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 12
  • 13. Lead Competition in insurance industry with emerging technologiesIntegration, Federation, Operational BI User Initiated Event Initiated Real Time New Business opportunities or losses! Historical © 2014 SAP AG or an SAP affiliate company. All rights reserved. Business question are sent to data and not data to business questions Internal 13
  • 14. Sources ODS/DT Environment Loading Target User SAP HANA Virtual Tables Enterprise Architect,Transperancy, Glosarry,Data Stewardship SBM/EGM Market Data Mobile Analytics DWH Konfig Validasyon Cleansing Extracting Profiling Transformation Matching Elementary/ Pension Insurance Enrichment DWH Loading Business Rules Validation Hierarchies List/sms/e-mail Real-Time Campaign Fraud/Anomalies Detection Other Business Apps XML Web Services Legal Reporting Process Sybase IQ Event Streaming Disclosure Process Data Mining Analytics Ad-Hoc Users Konfiguration Complex Event Processing © 2014 SAP AG. All rights reserved. Dashboards Balanced ScoreCard Flat files Data Integration Big Data Sentiment-Anaysis Legal Reporting Parties 14
  • 15. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Internal 15
  • 16. SAP HANA/ Hadoop Reference Architecture
  • 17. Thank you Contact information: Muzaffer YÖNTEM – muzaffer.yontem@mdsaptech.com.tr Country Manager +90 532 6919462 @myontem © 2014 SAP AG or an SAP affiliate company. All rights reserved.

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