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Using a Data Lake at the core of a Life Assurance business

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Zurich Life Insurance

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Using a Data Lake at the core of a Life Assurance business

  1. 1. INTERNAL USE ONLY Using a Data Lake at the core of a Life Assurance business Hadoop World Summit April 13th 2016 Rajdeep Mukherjee & Chris Murphy
  2. 2. INTERNAL USE ONLY  Zurich is a global insurance company founded in 1872 ,Head Quartered in Zurich Switzerland.  Zurich business is organized into three core business segments: General Insurance, Global Life and Farmers.  Zurich’s customers include – Individuals. – small businesses. – mid-sized and large companies, including multinational corporations. in more than 170 countries. Zurich Insurance – Introduction 2
  3. 3. INTERNAL USE ONLY Insurance Industry – Key trends  The key trends impacting the business – Digital Trends : Consumers are looking for simplicity , transparency and speed in their transaction with business . Relentless march of online and mobile technologies is continuing to fuel this change . A Digital transformation needs easy and quick access to data as a foundation. – Technological : IOT and sensors presenting new opportunities and challenges at the same time and advent of Big data techs is allowing companies to process unstructured data to gain insights in conjunction with the structured data. – Risks: Emerging risks due to new technology ,human interaction , habits needs advanced analytical models to predict losses. – Regulatory : The effect of global regulations such as SOX , GLB and solvency II are driving insurers to ramp up Enterprise data management 3 Insurance Digital Trends Analytics Emerging Risks Regulations
  4. 4. INTERNAL USE ONLY State of Data Management  Fragmented Landscape.  Rigid data design fails to Incorporate local business requirements  Very long Change cycles. 4 O P E R A T I O N S o P E R A T I O N L O B A d h o c C or p or at e CRM Policy Mgmt Claim Mgmt ERP ODS LoB Marts Spread sheets EDW External Data Business Users
  5. 5. INTERNAL USE ONLY What Capabilities are required to Keep up with the Trends  Capability to store all data(Internal, External , Structured , Unstructured ) at Low cost.  Capability to curate and expose Business Views on Demand.  Data Fabric to support different workloads (Operational and Analytical).  Support Rapid Change cycles.  Enable metadata management and data Lineage.  Govern where required don’t govern everything.  Scaling up should be a low cost effort.  Enable business Friendly tooling “Make App , Analytics and Data a seamless process “ 5 Speed App AnalyticsData
  6. 6. INTERNAL USE ONLY Zurich Data Lake – Conceptual Architecture 6 CRM Policy Mgmt Claim Mgmt ERP Life GC UK-GI BU Customer Policy Claim Customer Policy Claim Customer Policy Claim Customer Policy Claim Customer Policy Claim Raw Store Everything with History Enterprise Provisioning Curation Layer LoB Views Curation Group Level Views Consumption Real-time Interactive Batch Flattening Labelling Data Sources
  7. 7. INTERNAL USE ONLY Zurich Data Lake - Technical Architecture 7 Batch Ingestion Micro Batch Real Time Ingestion Frameworks Adapters Ingest Persist ,Process, Provision Curate RAW Layer Enterprise Provision layer LoB Views Corporate Views Security Mgmt Metadata Mgmt Operations Mgmt Consume API Interactive SQL Batch SQL S O U R C E Kerberos AD IBM Ambari RANGER Hcatalogue
  8. 8. INTERNAL USE ONLY Putting the Customer First 8
  9. 9. INTERNAL USE ONLY Getting to our data Legacy technology landscape 9
  10. 10. INTERNAL USE ONLY Customer Matching Guess Who 10
  11. 11. INTERNAL USE ONLY Tapping the Data lake In the Pipeline 11
  12. 12. INTERNAL USE ONLY Learnings 12
  13. 13. INTERNAL USE ONLY Any Questions? 13

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