Banking Data Warehouse & Financial Analytics
Build a banking analytics foundation from core-data ingestion through semantic models, KPIs and management dashboards.
Para delivered an implemented banking enterprise data warehouse proof of concept that connected Bank 2000 and Informix source data to staging and dimensional structures, then used the model for KPIs, scorecards and management dashboards.
Business challenge
- Banking reporting required structured integration from core source data.
- Financial, customer, segment, relationship-manager, branch and maturity analysis needed consistent dimensions and measures.
- Regional Arabic data required multilingual normalization.
Para approach
- Map financial and management reporting requirements.
- Extract and stage core banking data.
- Design banking dimensional and semantic models.
- Define KPI, scorecard and dashboard logic.
- Support customer, relationship-manager, branch, facilities and maturity analysis.
How it works
Validated banking EDW proof-of-concept and analytics accelerator foundation. Evidence: EDW business requirements, dimension build documents, Informix extraction and SSIS guide, and the KPI and dashboard build guide.
Bank 2000 / Informix
Staging / ETL
Dimensional Model
Financial / Customer KPIs
Scorecards / Dashboards
Delivered capability
Core data integration
Bank 2000 and Informix extraction into staging.
Dimensional modeling
Banking-specific dimensions and measures.
Financial semantic model
Financial and management reporting structures.
Customer, segment & RM analytics
Documented customer and relationship views.
Branch & regional analysis
Banking hierarchy and performance views.
KPI & dashboards
Management scorecards and dashboard engineering.
Evidence-supported outcomes
Banking analytics foundation
Established a reusable source-to-dashboard banking analytics model.
Domain models
Reusable customer, relationship, branch and financial structures were documented.
Management reporting
KPI and dashboard logic supports financial and management analysis.
POC boundary preserved
The evidence proves an implemented proof of concept and accelerator foundation, not a bank-wide production EDW.
Technology & delivery context
Bank 2000 and Informix source data, SQL Server staging, SSIS integration guidance and Analysis Services dimensional models, with dashboard and scorecard engineering.
Have a similar enterprise challenge?
Para can assess the current state, define the business and information model, shape the architecture and delivery approach, and move from business need into implementation and ongoing operations.