talk given at a meetup organized by DiHUB. A journey to create a data science lab into a number one insurance, @AXA.

1. A
journey
through
advanced
analy2cs
in
insurance
Colin
MOLTER

2. Analy2cs
in
insurance
h<ps://en.wikipedia.org/wiki/William_Morgan_(actuary)
William Morgan
(by Thomas Lawrence)

4. "Data
is
the
oil
of
the
21st
century".
H.
De
Castries,
Management
Congress
at
SwissRe
Center
Feb.
2015

7. Analy2cs
3.0

10. h<p://www.dezyre.com/ar2cle/data-­‐scien2st-­‐skills-­‐must-­‐have-­‐s/134

13. Inspire
Enable

14. Insurance’s
own
Data
Assets
Public
Data
Internet
of
things
Real-­‐2me
geolocalized
data
Automated
non-­‐tradi2onal
techniques
Automated
integrated
reports
and
analy;cs
Modeling
and
machine
learning

15. Data Lake Customer
collection
+
Data sources Elastic
search
Scores
Data
scientists
Application
(query builder) Marketing
& BUs
professionals
IT assets Business asset
Business
asset
Developer
+ designer
Architect
+ Developer
+ Data scientists
AXA
Tech +
Architect

17. Agile

22. Annex
Focus
Selec2on
Enrichment
Fast
explora2on
Scores
Any
user
Repor2ng
Data
visualiza2on
Advanced
user
Dashboarding
Widgets
Real
2me
insights
medium
user

23. • First
–
a
journey
to
datascience
and
advanced
analy2cs
– Need
to
be
really
agile
– Need
for
generalism
– Need
for
story
telling
• Datascien2st
similar
to
gold
prospector
• Parabol
of
the
blind
men
and
the
elephant
• Need
to
escape
for
the
siloed
architecture

25. • Iden2fy
your
most
a<rac2ve
customers
–
where
can
you
win?
– Customer
Life2me
Value
(CLV)
• A<ract
these
customers
by
applying
pricing
strategies
in
a
granular
way
• Increase
the
profitability
of
each
customer
using
price
sensi2vity
analy2cs
as
a
compe22ve
advantage
– dynamic
pricing,
real
2me
where
possible
• Aiming
the
company
strategy
toward
pricing
models
that
concentrate
on
focusing
pricing
on
customers
that
provide
the
greatest
value

26. h<ps://bm0283group2fa.wordpress.com/category/what-­‐is-­‐involved-­‐
in-­‐becoming-­‐a-­‐customer-­‐centric-­‐organiza2on/

27. • h<p://www.slideshare.net/Min2go1/predic2ve-­‐
lead-­‐scoring-­‐whats-­‐the-­‐buzz-­‐all-­‐about-­‐sf-­‐marketo-­‐
user-­‐group-­‐presenta2on