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giuseppe-gelso
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Standard analytics Standard solutions
Standard reports Shared services
Our vision is to provide end-to-end Business Intelligence
services globally
Standard and reusable
Business Intelligence
components
On a global IT platform
Providing shared services
Using SAS tools and
solutions
Cost synergies
Leveraging global &
specialists’ know how
Faster development by
reuse of modular
components
End-to-end products as
integrated service offering
Leading to
3
Global Business Intelligence Platform - Products
OE
Systems
Standard
Group
Platforms
External
Sources Integration layer Database layer Analytical layer Front end layer
ICB3
MDM5
FD2
Analytical models
GDW1
DWH
APM6
1Global Data Warehouse 2 Fraud Detection 3 Improve Customer Base 4 Data Quality 5 Master Data Management 6 Automatic Predictive Modeler
DQ4
4
Global Data Warehouse (GDW) offers an
insurance data model adjusted to Allianz needs
DWH Model Characteristics
Global BI
Integrated with
insurance and
financial
platforms
Extensible
design, handles
various data
scenarios
Defined
business and
technical rules
Available DWH
historization
concept
Definitions and
descriptions for
all tables and
fields
Industrialized and customizable data integration
5
Fraud Detection (FD) offers a broad set of functionalities
to identify potentially fraudulent claims
1. Analytics
The solution consists of three main parts…
2. Graphical User Interface 3. Reporting Module
Different techniques used
to discover suspicious
patterns and
generate sophisticated
and configurable alerts.
Focuses on local
characteristics in data
sets.
Business rules
Global BI
Anomaly
detection
Predictive
modeling
Link network
analysis
Global BI
Global BI
Global BI
Allows to efficiently analyze
potentially fraudulent cases.
Allows to properly lead and
document the investigation.
Enables fast simulation and
calibration of the detection
models.
Claims scoring
results
Claim detail
screen
Undiscovered
connections
Global BI
Global BI
Global BI
All parties involved can
have their own dash-
boards, monitor
performance and prepare
ad hoc reports.
Manager view:
Result tracking
Claims
breakdown
Investigator view:
Individual
performance
Global BI
Global BI
Global BI
6
Characteristics Benefits
Improve Customer Base (ICB) provides Market Managers
with tools and insights to manage the customer base
Customer value
calculation
Global BI
…reflects the customers overall profitability over
time
Customer
segmentation
Global BI
…across the dimensions of need, potential and
value
Retention
analysis
Global BI
%
… predicts the probability of churn of a given
policy/customer including special models for
probability to surrender and lapse
Portfolio
cleaning
Global BI
…adds the 360° customer view through the
monetary value of the customers to the contracts
chosen by the OE for portfolio cleaning
Win-back
management
Global BI
…predicts probability of winning back customers,
enabling to concentrate on lost customers with
highest propensity of being successful reinstated
Cross
selling
Global BI
…offers predictive models which allow to easier
identify, which product should be offered to which
customer
Valuable
insights by
predicting
future
customer
behavior
OEs benefit
from a product
ready for
immediate
use
7
Data Quality (DQ) provides a fully flexible solution
to address identification, reporting and cleansing of
an organization’s data asset
Data Profiling
Data Quality Monitoring
Data Cleansing
Initial health check on current levels of Data Quality, sets the
foundation for subsequent monitoring
Repeated processing of source data files against business defined rules,
resulting metrics available through DQ Reporting portal
Optional cleansing service for the data before
returning to OE
The GloBI DQ Service offers a 3 tier approach for OE’s to any data quality concerns. Each feature is offered independently, and others can be easily added on a as needed basis.
8
Master Data Management (MDM) is a strong enabler for
effective customer insights
OE provides data files to GloBI using GloBI standard transfer medium
OE works with GloBI to define the business rules for the clustering and survivorship process
Data flows from interface into a base set of tables whereby the MDM jobs are activated via a web service call from Atlas scheduler
Results of MDM runs is to cluster and store into the Customer Hub all instances of a customer
OE has secure web service access to ‘Pull’ data into their own analytics
Hub App allows hub data search/view/manage activities
A unified view of the customer linked to their unified product portfolio (360 degree view) is a key enabler for effective customer insights
9
What models can be built?
Automatic Predictive Modeler (APM) provides efficient
and fast delivery of predictive models
Sampling Model building & testing
Benefits Major functions
Reporting Scoring
Variable selection
FORMATTING
TRANSFORMATION
SUBSTITUTION
Propensity to buy (cross selling, up-selling)
Assessing response to a campaign
Claim Expectation (Yes/No, count and amount)
In general: any model with a yes/no question, a count or amount to predict
A service by Global BI:
development, maintenance, platform, support, licenses
No installation necessary – access through browser
Security based on login (SSO) with restrictions on data access