Atelier B5
Comment l'assurance évolue
t'elle avec le Big Data ?
Atelier B5
Intervenants
Modérateur
Léopold LARIOS
Risk Manager
Béatrice AUMONT
Hélène N’DIAYE
Directrice en charge de la technique assurance
Fabien RAVETTO
MBDA
Head of Corporate Social Network
Luca COMPARINI
Blockchain Leader - Industry Solutions Sales Team
Risk Manager
B5 BIG DATA
LUCA COMPARINI
3
BIG DATA & RISK MANAGER
BÉATRICE AUMONT
18
19
Accident reconstruction
Speeding Alerts
Journey Tracking
Geo-fencing
La voiture
connectée
Données fournies lors de la location
Données
concernant le
véhicule
Des données nombreuses et
variées…....
Données reçues pendant ou après la période de location
Géolocalisation en cas de vol du
véhicule
Accidents de la
circulation
Infractions routières
… Pour une meilleure gestion des
risques
INITIATIVES WITH BIG
DATA TO SUPPORT THE RISK
MANAGEMENT
Léopold LARIOS
Risk Manager
Identification
Maptycs transforms the traditional data
view and reporting process by
presenting a massive amount of data
from complex spreadsheets in a best of
class user experience that empowers
the end users
Geo-coding
Automated process to set up massive portfolio on the map
Geospatial awareness
Spread view of threats for broader risk exposure analysis
Drives high performance on mobile devices
Proprietary Cloud GIS
Latest technologies
For high performance and reliability
Earthquake risk zones
Use of external data
Monitor natural disasters exposures
Real time monitoring
real time alert
Risk exposure analysis and what if
scenario
Earthquake, Weather, Floods,
hurricane
Customized data analytics
Management of the exposures for both insured and insurers
Create and download reports in seconds
Gain Insight
Improve Market Submissions
Drive Client Retention
Communicate with Senior
Management & other departments
Spot Trends
Negotiate Premiums
Assess Potential Investments
Healthy eating
Incentivize healthy shopping to reduce health care costs
KEY FACTS
▌70+ retail chains
covering 8,000 national
and local stores (incl.
Walmart)
▌>200k+ scored
products
EDUCATION
▌Information & scoring of all food
products available in supermarkets
▌Very targeted communication (family
status, disease state, allergies,
shopping habits)
INCENTIVES
▌Cashback according to the basket
scoring and offers
▌Funded by employers and insurers to
reduce health costs
▌Funded by food manufacturers and
retailers to promote products
GETS
REWARDS
BASED ON LAST
PURCHASES SCORING
$
GOES
SHOPPING
IN HIS FAVORITE
PARTICIPATING
GROCERY RETAILER
PAYS HIS
BASKET
RECOGNIZED
WITH HIS
LOYALTY CARD
EMPLOYEE
ENROLLS
AND GET ACCESS TO
EDUCATIONAL
CONTENT
INCLUDING PRODUCTS’
SCORING & OFFERS
1 2 3 4
Payment of Loss in B2B
0000 0000 0000 0000
CARD HOLDER
VALID 00/00
0000
ELECTRONIC USE ONLY
29
KEY FACTS
▌Many use cases
already addressed
by Edenred leveraging
in-house payment
capabilities and expertise:
Hotel booking platforms,
E-commerce
marketplaces, etc.
▌Very large contract
won by Edenred in
the travel industry:
70 countries, >10k
stakeholders
▌Payment card without plastic:
16-digit account number with
expiry date and CVC
▌Full control: single or multiple
use, amount, filtering by merchant
category or merchant ID
Fully digital:
No plastic
ONE CARD: ONE TRANSACTION
Easy reconciliation, High security
ONE CARD: ONE CONFIGURATION
Full control of use (amount, validity, etc.)
NO NEED TO KNOW IBAN RECIPIENT
Easy to manager partner network
INSTANT ISSUING & TRANSMISSION
Direct relationship with the recipient
FX OUTSIDE BANKS
Optimized exchange rates for foreign currencies
CORPORATE INTERCHANGE
Revenue from each transaction instead of a cost
VIRTUAL CARD TECHNOLOGY
Corporate payment solutions - Leverage the Virtual Card technology
B5 BIG DATA
HELENE N’DIAYE
30
Merci
Les slides seront en ligne dès
la semaine prochaine sur
www.amrae.fr
Atelier B5 - Comment l'assurance évolue t-elle avec le big data ? - Février 2017
Comment l'assurance évolue t-elle avec le big data ? - 2017