Big Data Analytics & Decision Making in Fire
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- Jeffrey Gibson
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1 Big Analytics & Decision Making in Fire E&S Loss Control Executives Forum Save lives and reduce loss with information, knowledge and passion April 7, 2016 Nathaniel Lin, PhD: NFPA Analytics Strategy Lead Agenda Power of Integrated Lessons learned Why Big? is the New Oil Really? What is NFPA s Focus? Why should I care? Now What? 2 engineeringandsafety@iso.com 1
2 Situation Today - Silos Most data kept within proprietary silos ISO s business model built on shared data - FSRS (Fire Suppression Rating Schedule) produces PPC (Public Protection Classification) rating, SCOPE (Specific Commercial Property Evaluation Schedule) & BCEGS (Building Code Effectiveness Grading Schedule) More benefits can be reaped for all NFPA s 120 year goal has been to better serve the entire Fire Community! Insurer A Insurer B Property Owners, Inspectors USFA, NFPA Property Owners, ITM Service Providers AHJ, NFPA Claims & Loss Insurer C Claims & Loss Claims & Loss Insurer D Claims & Loss Property Structure, Use & Inspection Fire Incident Fire Protection System Public Fire Protection/ FD Operation BIG DATA 3 What Prevents Sharing AHJ Privacy & Security Property Owners/FM Confidentiality & Security Inspectors Confidentiality & Security Loss of customers to competitors Manufacturers Confidentiality & Security Loss of secret sauce Insurers Privacy, Confidentiality & Security Uncertainties over the values Loss of customers to competitors Who to ensure continuous proper data standards and safeguards Partner With SANDBOX 4 engineeringandsafety@iso.com 2
3 Sandbox = Synergy = Stone Soup Partner With SANDBOX 5 Why is Big & Analytics Important? In 1851, Samuel M Kier refined the first fuel oil for lighting lamps 6 engineeringandsafety@iso.com 3
4 is the New Oil? 7 How is Crude Oil Refined? Raw Insights & Solutions Big Analytics Pre- Processing Integration 8 engineeringandsafety@iso.com 4
5 Analytics Journey from 1.0 to 3.0 Analytics 3.0 Prescriptive Analytics Big Analytics Real Time Analytics 2011 BI Visualization Predictions 2000 Analytics 2.0 Metrics & Reporting BI & Scorecards Warehouse 1990 s Analytics 1.0 Degree of Intelligence 9 Big Analytics? SO WHAT? 10 engineeringandsafety@iso.com 5
6 Analytics Companies Out-performed non-analytics Companies 11 Mad Men Forced to Embracing Analytics 12 6
7 Big Analytics is no Fad 13 NFPA Analytics Sandbox Offers Strict Privacy, Security & HIPPA compliance Partial, limited use and duration of data sharing Full adherence to Sandbox participants previously agreed rules & policies Anonymized & Encrypted ID s Restricted Use as test-bed for Analytics innovations only Expunged from Sandbox post use Rigorous and best practices in Access Rights Management to ensure no accidental disclosure 14 engineeringandsafety@iso.com 7
8 Benefits of NFPA Sandbox Membership Early members get to help in defining scope, rules and specific analytics solutions Broader view of the market Ability to better understand potential customers beyond your own Access to ongoing innovations and insights on customers & markets Improved Agility Competitive edge and market share gain 15 Next Steps Consider what are your top 3 needs or pains Need not be data or analytics related List any data you own or can access What concerns do you have for sharing your data What safeguards, such as IT, Legal and Policy, would you need for you to share your data in the NFPA Sandbox Engage NFPA Sandbox team Join and start innovate in the NFPA Analytics Sandbox 16 engineeringandsafety@iso.com 8
9 Thank You For NFPA Sandbox enquiries please Dr. Nathaniel Lin 17 9
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