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Analytics at Work For Disaster Relief

Analytics at Work For Disaster Relief. Overview. The Gap The Potential The Ingredients The Future. The Gap. 1.Gujarat Earthquake Jan 2001 Economic loss Rs .23000 crores Relief Expenditure by State : Rs .1476.08 crores Insurance pay out Rs . 361.19 crores

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Analytics at Work For Disaster Relief

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  1. Analytics at Work For Disaster Relief

  2. Overview • The Gap • The Potential • The Ingredients • The Future

  3. The Gap • 1.Gujarat Earthquake Jan 2001 • Economic loss Rs.23000 crores • Relief Expenditure by State : Rs.1476.08 crores • Insurance pay out Rs. 361.19 crores • Total Rs. 1837.27 crores • 2. Mumbai Floods July 2005– • Economic loss Rs.15000 crores • Relief Expenditure by State Rs. 1524.97 crores • Insurance pay out Rs. 2971.18 crore Total Rs. 4496.15 crores

  4. The Potential

  5. The Future

  6. At IIB

  7. Mission • “ To help in the efficient and effective functioning of Indian Insurance Sector by providing information support on a Complete, Consistent and Concise manner, to the members of the Society and to all other stakeholders associated directly or indirectly with the Insurance sector ”

  8. Unique Positioning • IIB is in a unique position by virtue of being the only mandated body with statutory powers for collecting any info • IIB will be market neutral • IIB can be ‘authentic’ • IIB can be the ‘ one stop source’ • IIB can be non judgmental • IIB can be predictive

  9. Customers • Insurance Industry in India- Life and Non Life • IRDA’ s internal Customers • Policy Makers – the Government/s • Investors • Academia, Consultants , Market Research agencies etc • Global Fora like IMF,IIS,IAIS,

  10. The One Credible Source IIB ‘s rationale for existence is its Credibility and as a Utility for Market ‘s Informed Decision Making process

  11. Information Source Framework

  12. Process

  13. Long Term and ever

  14. Near term Plans ( end FY 2014) • Health Insurance data integration with TPAs, Insurers, Hospitals • National Preferred Provider Hospital Registry • Life Business analysis i.r. of penetration, demography, etc., • Travel Insurance Portal for Consular offices issuing visas • Various analytics as demanded by Insurance companies as well as regulator

  15. Mid Term Plans (by end FY 2016) • Natural catastrophe Exposure mapping and Modeling for the country • Loss estimation and Final Loss figure publication for Nat cat losses • Reference Rating for Property, Motor, Health lines

  16. Future Plans (by end FY2020) • Linkage of policy/ claims data with e accounts maintained by Insurance Repositories which in turn may get linked to Aadhaar

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