innovation and big data in insurance

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Big Data an actuarial perspective Decavi-KPMG, 18/11/2015 Mateusz Maj Chairman of IABE Big Data WG [email protected]

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Page 1: Innovation and Big Data in Insurance

Big Data an actuarial perspective

Decavi-KPMG, 18/11/2015

Mateusz Maj Chairman of IABE

Big Data WG [email protected]

Page 2: Innovation and Big Data in Insurance

What is Big Data?

Page 3: Innovation and Big Data in Insurance

Internet of Things

Page 4: Innovation and Big Data in Insurance

What is Big Data?

Page 5: Innovation and Big Data in Insurance

What is Big Data?

Page 6: Innovation and Big Data in Insurance

What is Big Data?

source: www. hp.com

Page 7: Innovation and Big Data in Insurance

Why Big Data Working Group?

Discuss: •  Impact of Big Data on insurance sector and the actuarial

profession;

•  Present challenges and good practices when working with Big

Data;

•  Educate actuarial profession about Big Data through CPD

courses

Page 8: Innovation and Big Data in Insurance

Insurance value chain: undewriting Covers different

Underwriting

360 degree customer view  

Page 9: Innovation and Big Data in Insurance

Combine different sources and apply analytics to

create comprehensive customer view and: •  Maximize profitability of the current portfolio •  Detect cross-sell and up-sell opportunities;

•  Increase customer satisfaction and loyalty;

•  Acquire new profitable customers and reduce marketing costs.

Underwriting

Page 10: Innovation and Big Data in Insurance

Underwriting Tesco group – UK

Motor – 1M Pet – 0.45M Travel - 0.175M Life – 0.175M Home – 0.4M  

Page 11: Innovation and Big Data in Insurance

•  Insurance prevention program with discounts and rewards for good

driving

•  ‘Phased’ approach: •  Phase 1: combine data from different sources i.e. traditional channels, online channels,

external service providers, Tesco group warehouses;

•  Phase 2: Identify the right customers within Tesco network;

•  Phase 3: Provide initial offer and reward drivers with initial rewards from Tesco group;

•  Phase 4: Iterate and provide personalized insurance offers.

Underwriting making insurance sexy

Page 12: Innovation and Big Data in Insurance

Pricing

Page 13: Innovation and Big Data in Insurance

Pricing Rating trends

1980s Now

Profession

Engine power

Coverage

Bonus-malus

Coverage

Bonus-malus

Claims history

Traffic violation

history

Age of vehicle

Use of vehicle

Make of vehicle

Purchase price

Parking place

Occupation

No. of drivers

Age of drivers

Maritial status

Real estate

Driving license

Mileage

Registered owner

Credit rating

Do we need additional factors? Is telematics necessary?

Page 14: Innovation and Big Data in Insurance

Univariate

basis

Risk

modelling

Technical

premium

modelling

Scenario

testing

Price

optimisation

Extra data

sources

Telematics

data?

Pricing Rating trends

Page 15: Innovation and Big Data in Insurance

•  New rating factors;

•  Flexible, dynamic risk pricing;

•  New modelling techniques like machine learning;

•  New, disruptive insurance offerings like Usage-

Based Insurance.

Pricing

Page 16: Innovation and Big Data in Insurance

Pricing Usage-Based Insurance (UBI)

UBI is the scheme where insurance premiums are

calculated based on dynamic causal data, including

actual usage and riskier driving behavior.

Page 17: Innovation and Big Data in Insurance

Pricing Usage-Based Insurance (UBI)

Full  UBI  –  niche  market  segments    

Motor  insurance  telema7cs  –  mass  market  

Works  well  with  niche  segments:  •  Young  drivers  •  People  living  in  risky  regions  •  Low-­‐mileage  drivers  

Insure  the  Box,  UK  New  disrup=ve  model  for  low-­‐mileage  drivers  with  prepaid  miles  (similar  to  prepaid  mobile.  No  punishment  for  bad  driving.    Self-­‐selec=on  +  individualized  premiums.  

Progressive,  US  “Prince  of  pricing”  with  MyRate  (pricing  variable  innova=on)  &  Snapshot  (1st  telema=cs-­‐based  insurance)  offers  Self  selec=on  &  individualized  insurance  premiums  

Intesa  SanPaulo  Assicura,  IT  Telema=cs  play  key  posi=on  –  car,  bike  home  Created  viable  risk-­‐based  pricing  model  with  phased  approach  for  Viaggia  con  me:    Phase  1  (tradi=onal  variables),  Phase  2  (Banking  parameters),  Phase  3  (Purchase  and  use  variables),  Phase  4  (Behaviour  variables)    

Page 18: Innovation and Big Data in Insurance

Insurance value chain: undewriting Covers different

Claims management & Fraud detection

Insurers loose 5% of the annual revenue due to fraud

Coalition Against Insurance Fraud (US) in the 2014 report has

stresses that technology & Big Data plays a growing role in

fighting fraud

Page 19: Innovation and Big Data in Insurance

Claims management Examples - UBI

From high to low loss ratios

UnipolSai  -­‐  IT CoverBox  &  Carrot  -­‐  UK Telema=cs  champion  (2.2M  ac=ve  boxes)  Best  prac=ce  claims  management  incl.:  •  FNOL  -­‐  quick  accident  response  •  Vehicle  loca=on  in  case  of  of  theW  •  Accident  reconstruc=on

Further improvement of the operational efficiency including: •  Crash data combined with video footage to fight

fraud •  Better prediction methods to reduce claims duration

and cost i.e. no need for expert, efficient accident reconstruction

•  Prove innocence

Page 20: Innovation and Big Data in Insurance

Covers different

Legislation

EU-wide law under construction  

Page 21: Innovation and Big Data in Insurance

Insurance Can it be sexy?

Health insurance, US Oscar is a health insurance company that employs technology, design,

and data to humanize health care.

Technology as differentiator (telemedicine) - system connects doctors and

patients with help of mobile app, website, bills, free fitness-tracking devices – easy

to use and understand.

Page 22: Innovation and Big Data in Insurance

Insurance Can it be sexy?

Home Insurance, IT Habit@t is the first Connected Home Insurance by Cardiff;

Well targeted customers – young, tech-savvy, from big towns;

IoT based - combining home telematics with home insurance;

Superior customer relationship - user-friendly & seamless usage via

smartphone app, multichannel with strong support;

Proactive alerts and risk managements.

Page 23: Innovation and Big Data in Insurance

EU-wide law under construction  

Role of actuaries

Data scientists  

Page 24: Innovation and Big Data in Insurance

Mateusz Maj Chairman of IABE Big Data WG [email protected]

Q&A