2. 2
is empowering the life insurance industry with big data and
predictive analytics. Our cloud-based platform provides data-driven insurance and
annuity specific insights to inform decision making and develop new business
strategies.
Atidot was founded in 2016 and is now working with 2 of the top-10 life insurers
and annuity writers in the USA. We are enabling them to take control of their
existing data to improve retention, sales, in-force management, and profitability.
3. Barak Bercovitz
CTO
● Lead Researcher and
Innovator in the IDF
technology unit
● Aram Graduate
● Vast hands-on
experience with
technology
● Worked for XIV
● Consultant to startups
Assaf Mizan, FIA
Product and Actuarial
● Chief Actuary of the MOF,
(Ministry of Finance)
● Actuary at EY and Swiss
RE
● Actuarial degree: Witz
University in South Africa
Dror Katzav
CEO
● Data Scientist
● M.S. Information Sciences:
Tel Aviv University
● Talpiot (elite IDF technology
and leadership training)
Graduate
● Team Leader / Project
Manager: IDF Technology
Unit
● Consultant to startups
3
4. Problems
4
• Consumers want a personalized experience and
lower prices
• Insurers and annuity writers want better strategic
decision making
• Data is a challenge: external data sources,
introduction of IoT and sensors, and existing
unstructured raw data
• Traditional methods and legacy systems do not
produce sufficiently accurate models
5. Solution
5
Insurance Data Cloud
Life
Provides life insurers with a simple to
integrate, self-service tool to leverage both
internal and external data, thereby
improving business decision making and
profitability, and enabling a more
personalized experience for consumers.
7. Benefits
7
Proprietary Data Preparation
Using AI
Monetizing your data with
predictive ready cleansing and
normalization of internal and
unstructured data enriched with
external sources
Insurance Specific Insights
Incorporate multiple models
including profit and risk to reflect
each of these dimensions based on
the client’s needs. Simulate and
use scenario analysis to improve
decision making
Product Solution
Self Service
Simple Integration
Specialized for Life Insurance and
Annuities
8. Use Cases – Life Insurance and Annuities
8
Up-Sell and
Cross-Sell
Proactive
Retention
Distribution
Optimization
Market Segmentation /
Product Development
- Identify high
profitability segments
as target markets
- Understand customer
needs and develop
more suitable products
- Determine strength
of marketing and
sales methods
- Design triggers that
lead to higher issue
and placement rates
- Understand why
policyholders lapse
- Identify cohorts by
lapse rate
- Discover
under-insured
policyholders
- Find cross-sell
opportunities
within your
customer base
9. Market Adoption
9
15% Increase in lapse assumptions accuracy for a Direct to Consumer
life insurer bringing their lapse assumption much closer to the experience
that actually emerged
3X Improvement in operational efficiency in proactive retention
efforts (e.g., by better estimating who will lapse, more of the potential
lapse calls were routed to retention specialists)
25% Under-insured potential discovered within a tier-1 in-force book
of business. Increasing the company’s lead score by 150% (i.e. from 2.5 to
3.7 in a 1-5 scale)
10. 90 Day Framework
10
Our validated pilot framework will show you value in just 90 days.
Data
Onboarding
Define business goals.
Onboard, cleanse and normalize
data.
Augment with external sources.
Validation
Go To
Market
Validate model with existing
benchmarks.
Refine model to meet business
needs.
Prepare model for field test.
Refine model based on
performance and feedback.
11. Business Model
11
Cloud based platform
Leveraging Azure and
AWS capabilities for
decreased IT cost
Proprietary data
analysis
Monetizing in force data
and external data
sources for prediction
Subscription model
Pay per usage based
on number of cases
and policies under
management
High end service
Top tier data scientist
and actuaries with
deep insurance
understanding to guide
you in the process