1. Design of Big Data Reference Architectures for Use Cases in the Insurance Sector
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,

2. Outline Motivation Problem Statement
Research Questions and Methodology
Use Cases
Next steps
Deriving Requirements for Operationalizing the Use Cases
Comparison of existing Reference Architectures
Design of a new Reference Architecture
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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3. 1. Motivation: Problem Statement
Large volume of data generated, partially in real-time (Big Data)
Vast potential for businesses through data analysis – in the German P&C Insurance Sector up to 18 Billions €
However:
Many Big Data projects do fail
Only 5 out of 25 analyzed DAX companies have Big Data projects or applications deployed (2015)
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,

4. Technically Oriented 1. Motivation: Approach Start with technology
Business Oriented
Technically Oriented
Start with technology
Collect and analyze data directly
Used so far in most projects
Start with business aspects
Define Use Cases and derive requirements
Design architecture
Used in this thesis
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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5. 1. Motivation: Research Questions and Methodology
What are possible Big Data Use Cases in the insurance sector and which ones do have the highest potential?
Which requirements have to be fulfilled in order to implement these Use Cases?
What can a possible Big Data Reference Architecture look like in order to operationalize the Use Cases?
Literature Study
Expert Interviews
Expert Interviews from RQ 1
Literature Study
Requirements from RQ 2
Literature Study
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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6. 2. Use Cases Customer Analytics Internal Processes IoT in P&C
Churn Detection and Management
Targeting
Internal Processes
Fraud Detection
Claims Automation
External Data for optimized Pricing and Risk Assessment
Analysis of the Enterprise Architecture and Business Processes based on Monitoring Data
IoT in P&C
Telematics
Industrial Insurance
Smart Home
Smart Health & Smart Life
Health Insurance based on Wearables Data (Discounts)
Health Services based on Wearables Data
Disease Management
Sensor-based Services in Life Insurance
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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7. 2. Use Cases: Finding the perfect ones
How high is the added value?
What is the added value exactly?
Cost Reduction vs. Growth
Automation vs. New Products
Risk Minimization
Improved Customer Relationship
How high is the complexity and what drives it?
What does it take to implement the Use Case?
What are possible risks?
Data Privacy and IT-Security
Financial and Market Risks
Negative Customer Perception
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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8. 3. Next Steps: Requirements Analysis
Requirements Elicitation from expert interviews
Categorization of Requirements for each Use Case:
Data Sources
Processing Velocity
Data Integration
Data Quality
Privacy & Security
Organizational Requirements
Deriving generic Requirements for mapping them onto Reference Architecture components
Based on approach and templates from US National Institute for Standards and Technologies (NIST)
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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9. 3. Next Steps: Comparing Existing Reference Architectures
Analysis of existing Big Data Reference Architectures from different companies
Goal: Derive common components:
Resource Management
Data Lake
Data Streaming
Data Batch-Loading
Machine Learning
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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10. 3. Next Steps: Designing a new Reference Architecture for Insurance
Requirements Analysis
Common Components
New Reference Architecture
New Reference Architecture as a blueprint for Insurance Sector
Relevant components can be picked out for implementing specific Use Cases and designing a specific Reference Architecture for them
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
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11. 3 Next Steps: Roadmap Registration 15.10.2017 Submission 15.03.2018
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Today
Literature Research
Use Case Interviews
Requirements Analysis
Ref. Architecture Design
Writing
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,

12. ?
Any Questions?
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,

13. Sources (Selection)
Matthes, F. & Kazman, R. (2015): Demystifying Big Data Adoption: Beyond IT Fashion and Relative Advantage
Google & Bain&Company (2016): Digitalisierung der Versicherungswirtschaft: Die 18-Milliarden-Chance
Marr, B. (2015): Using SMART Big Data, Analytics and Metrics To Make Better Business Decisions and Improve Performance
Lanquillon, C. & Mallow, H (2015): Praxishandbuch Big Data: Referenzarchitekturen
National Institute on Standards and Technologies (2015): NIST Big Data Interoperability Framework: Volume 6, Reference Architecture
Fox, G. & Chang, W. (2015): Big Data Use Cases and Requirements
Clarke, R. & Libarikian, A. (2014): Unleashing the value of advanced analytics in insurance
Digital McKinsey (2017): Digital disruption in insurance: Cutting through the noise
Vladimir Elvov, Bachelor’s Thesis – Initial Presentation,
© sebis