Simplify the way you gather data, have a single point of truth and ensure data quality, consistency, accuracy, complexity and the right timing.
Optimize discounting, improve retention, and segment your customer base to effectively acquire new customers. Our PI Banking DWH Model® allows you to gather insights from customer trends and access historical data.
In recent years, banks have accumulated large amounts of data from business, now it is time to turn this data into money! Such an enormous amount of data provides a big opportunity for analysis.
Our PI Banking DWH Model® simplifies the way you gather data: have a single point of truth, ensure data quality, consistency, accuracy, and complexity.
Banking DWH Model
®
Highlights
Based on industry best practices and open for all necessary modifications to adjust to individual customer needs
Business oriented, designed to support different business needs, from regulatory daily / weekly / decade / monthly operational and management reporting to very complex ad hoc analysis and simulations
Consists of more than 500 Entities (Tables) grouped in 32 Subject areas, with more than 6,100 attributes, and more than 1.800 keys
Possibility to integrate data between a bank and leasing company, or a bank and insurance company, all in one common data warehouse model, enabling a 360 customer view
Work on the model is a continuous endeavor in respect to banking regulations, IFRS standards, new analytical requirements, new markets & data modelling standards
Banking DWH Model
®
Benefits
Enables business users to generate quickly actionable insights and easily customize or extend their DWH capabilities
Implementation can be done incrementally delivering fully functional phases that will result in an integrated management information system
Minimizes development costs
Reduces the risk of failure by facilitating an incremental approach to delivering integrated ODS and data warehouse solutions
Fosters collaboration and approval between business and IT, as necessary, to turn business requirements into actionable solutions
Provides a solid basis for regulatory reporting as well as decision support and executive KPIs
Enables organizations to achieve a modern DWH architecture, a logical model with clean relationships between entities which is future proof DWH to deal with upcoming requirements
Banking DWH Model
®
Details
Reduce risk utilizing our PI Banking DWH Model®!
Keep your data on a level of granularity that enables you to extract deep insights, preventing potential losses before they arise.
Our PI Banking DWH Model® consists of more than 500 Entities (Tables) grouped in 32 Subject areas, with more than 6,100 attributes, and more than 1.800 keys.
It is business oriented and designed to support different business needs. From regulatory and daily / weekly / decade / monthly operational and management reporting to very complex ad hoc analysis and simulations, our Data Warehouse Model is based on top industry standards and implementation best practices.
- Common business functional group subject areas, except for locations
- Customer
- Reporting, business items and KPI's
- Location
- Customer account
- Operational risks
- Product, rates
- Credit protection
- Classification, segmentations
- HR
- Financial subject areas (GL, reporting, OPEX, CAPEX, transactions)
- ETL execution
- Party (individual, legal, entity, OU)
Customer report
Download the resource
Download our
PI
Banking DWH Model
Ebook!
Make data driven decisions and transform information into meaningful actions.
The PI Banking DWH model® is exclusive intellectual property of Poslovna Inteligencija. PI grants a nontransferable and nonexclusive right to use the Banking DWH model® with delivered customizations and extensions to its Customers who purchase the model.
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