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Opportunity Use Cases Initiatives
Data & Analytics Opportunities
Analytics Trends Improve Outcomes
Worldwide revenues for big
data and business analytics
will grow from nearly $122
billion in 2015 to more than
$187 billion in 2019
-IDC
More than 50% of large
global enterprises will
leverage analytics and
proprietary algorithms
on secure platforms
-Gartner
Source : http://www.infosys.com/industries/insurance/white-papers/Documents/transforming-big-data-analytics.pdf Source : http://www.mckinsey.com/industries/financial-services/our-insights/unleashing-the-value-of-advanced-analytics-in-insurance
Success FrameworkTransformation Opportunities
3
360 Degree View of Customer
Optimize Claims & Fraud Mitigation
Optimize Operations & Decision Making
Insurance Use Cases
Optimize Pricing
Eliminate manual inspection to
quicken claims processing
Spot missed subrogation
opportunities
Examine past behavior, perform
Social network and stakeholder
analysis for near real time fraud
detection
Enabler for:
Personalized and targeted
marketing
Predicting Lifetime Value
Customer Segmentation
Cross sell opportunities
Predicting and preventing
customer churn
Accurate need analysis
Data driven dynamic pricing
Real life applications:
1. Telematics - Pricing on driving habits
2. Wearables – Pricing on healthy habits
3. Home Sensors – Pricing on safety
Leads to profit for insurer, affordability
for customers
Though, there are some privacy concerns
Data driven decision making –
Find, visualize, understand and
strategize
Channel optimization
Lead prioritization and demand
forecasting
Anticipate user expectations to
spot and ride next disruptive trend
4
Snapshot Adoption
Value Proposition
Key Benefits
What is it?
By combining Data analytics
with mobile and cellular
communications technologies,
Progressive turns previously unusable
data into commercial advantage
Data driven business model enables
it to be well prepared to respond to
future disruptive trends
Since inception in 2008, 4
million drivers have tried
Snapshot
Progressive has collected
more than 15 billion miles of
driving data
Progressive wrote $2.6B in
Snapshot premiums in 2014
Snapshot is a voluntary discount
program in which drivers can save
money on their car insurance by
sharing a picture of their driving
habits with Progressive
Transition from educated guesses
to fact based underwriting
Reduced claims cost, promote
social good
Increase in customer acquisition
and quality customer retention rate
Improved customer and brand
loyalty
Gaining competitive edge
1. Progressive D&A Initiative
Snapshot Programme
5
DSDP – Building Analytics Pipeline
Data to Insight to Outcome
Key Benefits
2. Mass Mutual D&A Initiatives
1. Haven Life 2. Data Science Development Programme
Haven Life – Get insured in 20 min
MassMutual is using Big Data
analytics to figure out who their
potential customers are, as well as
determining key metrics that
regulate their need for insurance
products. It also helps them identify
fraudsters who seek insurance,
hoping to scam the company.
Data Science Development
Program (DSDP) trains
promising, recent graduates to
become well-rounded data
scientists for MassMutual
DSDP shows how insurers can
embraces Big Data to better
reach potential customers
Haven Life combines customer
medical and financial data with
data from public database and
uses proprietary algorithms to
issue insurance decision in 20 min
An apt example of industry
disruption through analytics-
driven process improvements
Systematically estimating the risk
Improve business efficiency and
customer experience
Better customer service and
fraud mitigation with accurate
prediction and estimation
Critical differentiation and
competitive advantage
6
Data Consolidation at its best
Big Data Big Outcomes
Key Benefits
Customer Centricity
The ability to see the big picture and
interact with all the information drives
better call centre experiences for
customers. Customer representatives
are able to quickly and efficiently
answer questions, manage claims and
offer relevant services or promotions
with reduced call and wait times.
The MetLife Wall integrates
information from 70 legacy
administrative systems into one
platform
Down to 1 screen with all the
necessary information from 15
Shows all the interactions that
customer had with MetLife across
its omni-channel touch points
MetLife Wall provides a
Facebook like timeline of MetLife
customer’s transactions - claims,
records, status, etc., making it
possible to easily access
customers information and cross-
sell products
Promotes customer centricity as
one of the core strategies of the
company
Enables the insurer's service
representatives to better serve
customers
Takes personalisation to a new
level
3. MetLife D&A Initiative
MetLife Wall
7
Where human capabilities fail
From Data to Actionable Insight
Key Benefits
How Allianz Does it?
Fraud analytics turns data into
profitable information automatically
ultimately enhancing claims function
Analytical solution reduces the time
and resources required while
improving their success rate
Incorporates wide sources of siloed,
unstructured and structured data
Identified 1161 fraud cases worth
CZK 62 mn, compared to 426 cases
worth CZK 10 mn for previous year
Investigated 26% more cases
40 % more proven fraud cases for
criminal prosecution
Saved about CZK 110 million a
year by reducing the number of
fraudulent claims
Allianz Insurance in the Czech
Republic is using SAS Analytics to
identify and prosecute cases of
insurance fraud
Network and associative
analytics give representation of
links between fraudulent activity
and collaboration points
Efficient fraud detection reduces
annual claims payouts
Spot more fraud cases along with
anticipating new type of frauds which
might occur in future
Reduced false positive rate - boosts
employee productivity, minimizes loss
adjustment expenses and avoids
customer ire and legal hassles
4. Allianz D&A Initiative
Fraud Analytics
Contact The Digital Insurer: hugh.terry@the-digital-insurer.com
Our digital insurance content is free for subscribers and supported by our sponsors.
Join more than 12,000 others @ www.the-digital-insurer.com
About The Digital Insurer
The forum for professionals interested in digital insurance
Objective: to help the insurance industry to take full advantage
of digital trends and technologies
The services we offer to ensure our content
remains free
Site sponsorship for content sections
Listing & content development services for technology companies
Consulting services on digital insurance in partnership with KPMG
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Database & insights on digital innovations
around the world
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Data Analytics in Insurance

  • 1. Opportunity Use Cases Initiatives
  • 2. Data & Analytics Opportunities Analytics Trends Improve Outcomes Worldwide revenues for big data and business analytics will grow from nearly $122 billion in 2015 to more than $187 billion in 2019 -IDC More than 50% of large global enterprises will leverage analytics and proprietary algorithms on secure platforms -Gartner Source : http://www.infosys.com/industries/insurance/white-papers/Documents/transforming-big-data-analytics.pdf Source : http://www.mckinsey.com/industries/financial-services/our-insights/unleashing-the-value-of-advanced-analytics-in-insurance Success FrameworkTransformation Opportunities
  • 3. 3 360 Degree View of Customer Optimize Claims & Fraud Mitigation Optimize Operations & Decision Making Insurance Use Cases Optimize Pricing Eliminate manual inspection to quicken claims processing Spot missed subrogation opportunities Examine past behavior, perform Social network and stakeholder analysis for near real time fraud detection Enabler for: Personalized and targeted marketing Predicting Lifetime Value Customer Segmentation Cross sell opportunities Predicting and preventing customer churn Accurate need analysis Data driven dynamic pricing Real life applications: 1. Telematics - Pricing on driving habits 2. Wearables – Pricing on healthy habits 3. Home Sensors – Pricing on safety Leads to profit for insurer, affordability for customers Though, there are some privacy concerns Data driven decision making – Find, visualize, understand and strategize Channel optimization Lead prioritization and demand forecasting Anticipate user expectations to spot and ride next disruptive trend
  • 4. 4 Snapshot Adoption Value Proposition Key Benefits What is it? By combining Data analytics with mobile and cellular communications technologies, Progressive turns previously unusable data into commercial advantage Data driven business model enables it to be well prepared to respond to future disruptive trends Since inception in 2008, 4 million drivers have tried Snapshot Progressive has collected more than 15 billion miles of driving data Progressive wrote $2.6B in Snapshot premiums in 2014 Snapshot is a voluntary discount program in which drivers can save money on their car insurance by sharing a picture of their driving habits with Progressive Transition from educated guesses to fact based underwriting Reduced claims cost, promote social good Increase in customer acquisition and quality customer retention rate Improved customer and brand loyalty Gaining competitive edge 1. Progressive D&A Initiative Snapshot Programme
  • 5. 5 DSDP – Building Analytics Pipeline Data to Insight to Outcome Key Benefits 2. Mass Mutual D&A Initiatives 1. Haven Life 2. Data Science Development Programme Haven Life – Get insured in 20 min MassMutual is using Big Data analytics to figure out who their potential customers are, as well as determining key metrics that regulate their need for insurance products. It also helps them identify fraudsters who seek insurance, hoping to scam the company. Data Science Development Program (DSDP) trains promising, recent graduates to become well-rounded data scientists for MassMutual DSDP shows how insurers can embraces Big Data to better reach potential customers Haven Life combines customer medical and financial data with data from public database and uses proprietary algorithms to issue insurance decision in 20 min An apt example of industry disruption through analytics- driven process improvements Systematically estimating the risk Improve business efficiency and customer experience Better customer service and fraud mitigation with accurate prediction and estimation Critical differentiation and competitive advantage
  • 6. 6 Data Consolidation at its best Big Data Big Outcomes Key Benefits Customer Centricity The ability to see the big picture and interact with all the information drives better call centre experiences for customers. Customer representatives are able to quickly and efficiently answer questions, manage claims and offer relevant services or promotions with reduced call and wait times. The MetLife Wall integrates information from 70 legacy administrative systems into one platform Down to 1 screen with all the necessary information from 15 Shows all the interactions that customer had with MetLife across its omni-channel touch points MetLife Wall provides a Facebook like timeline of MetLife customer’s transactions - claims, records, status, etc., making it possible to easily access customers information and cross- sell products Promotes customer centricity as one of the core strategies of the company Enables the insurer's service representatives to better serve customers Takes personalisation to a new level 3. MetLife D&A Initiative MetLife Wall
  • 7. 7 Where human capabilities fail From Data to Actionable Insight Key Benefits How Allianz Does it? Fraud analytics turns data into profitable information automatically ultimately enhancing claims function Analytical solution reduces the time and resources required while improving their success rate Incorporates wide sources of siloed, unstructured and structured data Identified 1161 fraud cases worth CZK 62 mn, compared to 426 cases worth CZK 10 mn for previous year Investigated 26% more cases 40 % more proven fraud cases for criminal prosecution Saved about CZK 110 million a year by reducing the number of fraudulent claims Allianz Insurance in the Czech Republic is using SAS Analytics to identify and prosecute cases of insurance fraud Network and associative analytics give representation of links between fraudulent activity and collaboration points Efficient fraud detection reduces annual claims payouts Spot more fraud cases along with anticipating new type of frauds which might occur in future Reduced false positive rate - boosts employee productivity, minimizes loss adjustment expenses and avoids customer ire and legal hassles 4. Allianz D&A Initiative Fraud Analytics
  • 8. Contact The Digital Insurer: hugh.terry@the-digital-insurer.com Our digital insurance content is free for subscribers and supported by our sponsors. Join more than 12,000 others @ www.the-digital-insurer.com About The Digital Insurer The forum for professionals interested in digital insurance Objective: to help the insurance industry to take full advantage of digital trends and technologies The services we offer to ensure our content remains free Site sponsorship for content sections Listing & content development services for technology companies Consulting services on digital insurance in partnership with KPMG Conference speaking and workshops Database & insights on digital innovations around the world Snippets, InViews and case studies Searchable by region and category Published by: Sponsored by: What is Digital Insurance in Action?