Insurance DWH model
Transcript of Insurance DWH model
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Insurance DWH modelPI Industry Standard Insurance Data Warehouse Data Model
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The design of the PI DWH model is the result of 20 years of practical experience
Common subjects
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1. PI Retail DWH Model business perspective
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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.
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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
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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
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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
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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
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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
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2. PI Insurance DWH Model® Technical Perspective
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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
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• 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...)
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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
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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
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Finance & HRFinance Subject area
Main entities:
General Ledger
Currency
Document type
Cost centre
GL Account
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CustomerCustomer Subject area
Main entities:
Customer
Customer Role
Customer Policy Role
Customer Type
Customer Contact
Country, County, City, Postal Office
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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
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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
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3. PI Insurance DWH Model® implementation methodology
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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
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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
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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)
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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
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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
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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.
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