Insurance DWH model

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Insurance DWH modelPI Industry Standard Insurance Data Warehouse Data Model

dwh-models.com/solutions/insurance

The design of the PI DWH model is the result of 20 years of practical experience

Common subjects


1. PI Retail DWH Model business perspective


PI Insurance DWH Data Model historyPI DWH Data Model has been developed since 2009, based on experience in implementation in different insurance companies:

• Allianz Zagreb d.d.

• Basler osiguranje Zagreb d.d.

• aYo• Croatia osiguranje d.d.

• Erste osiguranje Vienna Insurance Group d.d.

• Jadransko Osiguranje d.d.


Model benefits

• Easy to customize according to client’s needs

• Implementation can be done incrementally delivering fully functional phases that will result in integrated management information system

• Enables business users to more effectively control and reduce the time taken to scope their requirements, as well as subsequent customization and any extension of the data warehouse.

• Provides a solid basis for regulatory reporting as well as decision support and executive information applications

• Minimizes development costs

• Reduces the risk of failure by facilitating an incremental approach to delivering integrated data warehouse solution

• Fosters collaboration and approval between business and IT, as necessary, to turn business requirements into actionable solutions


PI Insurance DWH Data Model• Model based on the practical experience

• Multi-company and multi-currency

• Open to customizations

• Possibility to integrate data between bank and insurance company in one common data warehouse model

• Work on the model is a continuous endeavor, in respect to:

• Insurance regulations• Data modelling standards


4C approach

Connected

Convergent

Comprehensive

Compliant


ACORD Standards

• Standards streamline standards creation and development

• Standards provide a base for model driven development and maintenance of standards

• Standards serve the entire insurance industry

Insurance Enterprise Architecture


ACORD StandardsInsurance Enterprise Architecture

• Business Glossary contains common insurance definitions

• Capability Model defines what insurance companies do

• Information Model organizes and relates insurance concepts

• Data Model derives concepts from Information Model into format used for database design

• Component Model provides the building blocks for custom solutions

• Process Framework provides a workflow-oriented model for implementing insurance processes and messages across an enterprise

• Product Framework is a graphical notation which enables users to quickly, easily, and precisely represent insurance products in a manner that is useful to all levels of an enterprise


From Conceptual to physical model

Conceptual model (Semantics)

Logical model (Design)

Physical model (Implementation

specific)

Accord Data model

Pi Insurance DWH Model

Customer implementation

Realise

Implement


2. PI Insurance DWH Model® Technical Perspective


Technical perspective

• 397 Entities / Tables, 4.898 Attributes /Columns, 1.168 Keys, 1.156 Indexes in core DWH model in current version

• Possibility to create number of datamartsbased on the currently existing entities


• Created in Erwin (Erwin license not included in price)

• Descriptions of attributes/entities, with examples (possible values), where applicable

• Database independent - possibility to create DB schema on any of the standard RDBMS (Greenplum, Netezza, MS SQL Server, Oracle, DB2, Teradata, Sybase...)


Modeling principles

• Extended Kimball model (snowflake schema)

• Standardization of data types (usage of domains)

• Standardization in naming (ID, Name, Code, Description)

• SCD (Slowly Changing Dimension) handling:• Hybrid SCD dimensions approach (SCD6)• Depending on the data volume:

• One hystorical table• Each changing attribute has it's own table


Subject Areas

Common business

• Business Items and KPI’s SA

• ETL Process Execution Audit SA

• Product SA

• Party SA

• Location SA

Customer

• Customer SA

• Sales SA

• Contact Center SA

• Loyalty Program SA

• GDPR Compliance SA

• Marketing Campaign SA

Policy

• Actuary SA

• Claims SA

• Insurance Policy SA

• Commissions SA

Finance & HR

• CAPEX SA

• Finance SA

• Human Resources SA

• Investments SA

• OPEX SA

• Reporting SA


Common businessProducts Subject area


Finance & HRFinance Subject area

Main entities:

General Ledger

Currency

Document type

Cost centre

GL Account


CustomerCustomer Subject area

Main entities:

Customer

Customer Role

Customer Policy Role

Customer Type

Customer Contact

Country, County, City, Postal Office


PolicyCustomer Subject area

Main entity of this Subject Area is Insurance Policy. Besides dimensions describing this entity, such as Customers related to policies, partners, products and their categorization, this Subject Area contains different snapshots necessary to enable efficient reporting related to sales activities.

Main entities:

Insurance Policy

Insurance Policy Detail

Product/Product Group

Insurance Subgroup/ Risk type/ Class

Insurance Policy Paid and GWP

Fact Sales Daily

Fact Sales Monthly


Colors used in the modelCustomer Subject area

White – common business and infrastructure tables

Yellow – Customer tables, Sales tables

Fuchsia - Product tables

Dark Green - Policy tables, Actuary tables

Light Green – Payment tables

Blue – Claim tables

Grey – Finance, Human Resources tables

Purple – Contact Center tables

Light Blue – Marketing Campaign tables

Green – Loyalty Program tables

Pink – GDPR tables


3. PI Insurance DWH Model® implementation methodology


Implementation methodology• Initial 2-3 weeks of workshops to define overall requirements and to establish

expectations and timelines

• Define business glossary, KPI’s and scenarios

• Model customization and source-to-target mappings - Customer and Products are always the first Subject areas in the line of customizations, because of dependencies with practically all entities

• Order of other Subject areas is determined with Client by priority


Model pricing

• Based on range of Active Insurance Policies• Less than 1 million• 1-2 million• 2-5 million• 5-10 million• 10-20 million• 20+ million• Unlimited at group level – subject to negotioation

• 20% annual M&S fee include delivery of new versions of the model


Model packaging

• Model in ERWin format and exported to other requred formats

• Detailed Subject Areas Documentation (~35 pages)

• Detailed ERWin Model Report Documentation (~100 pages)

• Business Glossary with 250+ definitions

• KPI list with 50+ standard insurance KPI definitions

• Customization Guide Documentation

• Source to Target Mapping templates

• Detailed Model content and Methodology Powerpoint Presentation (150+ Slides)


About Poslovnainteligencija• Leading Data Management implementer

in SEE region

• 20 years of field experience in business analytics, in all industries and the public sector

• 300+ delivered projects in 25 countries

• 120+ consultants, 5 project managers

• The highest level of partnerhisp with world’s leading BA vendors


PI solution areas

Analysis, design, development, implementation, support and education

Strategic ICT consulting

Data Governance

Data Quality

Planning & Budgeting

Predictive modeling

BusinessIntelligence

Balanced Scorecard

MDM Data Integration

Data Warehouse

Big Data


Banking DWH ModelGain insight into customer trends and

historical data – optimize discounting, improve

retention and segment your customer base to

effectively acquire new customers. Data

warehouse provides the basis for quality

analysis of available data by deriving

accurate information.

Telco DWH ModelImprove your decision-making process based

on quality data using advanced analytics and

be a part of digital transformation. Extract

consumer insights to learn more about their

preferences and reinvent the customer

experience.

Retail DWH ModelRetail DWH model ® is standard industry data

warehouse model applicable for retailers and

wholesalers, covering traditional Business

Intelligence requirements, regulatory

requirements and Big Data Analytics

requirements.


Insurance DWH model

Documents

Transcript of Insurance DWH model