Data Warehouse Model for Insurance

Poslovna Inteligencija Insurance Data Warehouse Data Model (PI Insurance DWH Model) is a standard industry data warehouse model applicable for both life and non-life insurances. Based on data represented in the model, all standard insurance reporting and analysis Data Marts can be delivered.
 
PI Insurance DWH Model is based on industry best practices, developed and applied during data warehouse system implementations in Basler osiguranje Zagreb. Also, it is open for necessary alterations and modifications required for each insurance customer.
 
PI Insurance DWH Model is based on strong Primary Key - Foreign Key relationships that will assure consistency in the model itself and in content of implementation Data Warehouse System. Physical model implementations can be in every standard RDBMS.
 
PI Insurance DWH Model is developed with CA ERWin and will require ERWin license to view or change. Model can be exported to any other standard database modeling tool format.
 
In the current version 1.3 of the model, model has more than 170 Entities (Tables) grouped in 13 Subject areas:
  1. Actuary Subject area
  2. Business Items and KPI's Subject area
  3. CAPEX Subject area
  4. Claims Subject area
  5. Customer Subject area
  6. ETL Process Execution Audit Subject area
  7. Finance 
  8. Human Resources Subject area
  9. Investments Subject area
  10. OPEX Subject area
  11. Products Subject area
  12. Sales Subject area.
 
Color-coding of tables and Subject areas in the model is as follows:
 
White - common business and infrastructure tables
Yellow - Customer tables, Product tables
Light Green - Policy tables, Payment tables, Sales tables, Actuary tables
Blue - Claim tables
Grey - Finance, Human Resources tables
 
 
Visual representation of Main Subject Area, which consists of all PI Insurance DWH Model Entities:
 
PI Ins DWH Model-MainSubjectAre
 
In PI Insurance DWH Model, semantic data model is actually integrated with logical data model in several ways:
 
- Relationships between the various entities are named and they describe type of relationships
- Naming conventions for entities and attributes is respected throughout the model
- All attributes have a domain. Domains are not only generic (String, Number, Date), but also context-specific and descriptive of attribute role (Name, Address, ID, Telephone Number).
 
 
PI Insurance DWH Model is customizable per customer specific requests. There are several types of customizations:
 
- Customizing of existing Entities including changing attribute properties (name, type, and description), adding new attributes, adding indexes etc.
- Creating of new Entities if there is a requirement for a new dimension or new aggregation
- Adding new Subject areas with multiple entities that will cover new business areas 
- Customizing of physical model - defining pertitions, block sizes etc.
 
 
 
Parent Category: Solutions

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