Discovery & compliance mapping
3 weeksData sources, regulatory requirements, access policies.
Auditable, near-real-time visibility instead of manual data transfers and delayed KPI dashboards.
The organization manually compiled monthly regulatory reports due to broken data flows between SAP and legacy BI tools. Risk dashboards updated with a 24–48 hour lag.
An end-to-end BI platform with event-driven integration, role-based data warehouse bridge, and automated reporting scheduler.
Layered architecture: source adapters, validation and audit middleware, analytics store, and dashboard API.
1. ERP adapter layer (SAP + legacy JDBC)
2. Validation & audit trail middleware
3. Analytics store (PostgreSQL + materialized views)
4. Dashboard & reporting API (Next.js + REST)
Data sources, regulatory requirements, access policies.
Adapters, audit log, first KPI dashboards.
Scheduler, alert rules, UAT.
Production cutover, training, SLA handover.
· Inconsistent timestamp formats in legacy systems
· Peak load management during regulatory periods
· Backward traceability requirements for audit teams
−42%
Reporting cycle time
48h → 15 min
KPI lag
−65%
Manual steps
The finance ops team saved three full days in the monthly close cycle. Risk management gained early-warning capacity with near-real-time dashboards.
~1.8× return on integration investment within 12 months (internal calculation).
· Audit trails are mandatory from MVP — adding them later is costly.
· Data validation rules for regulatory reports must be defined with business units.
Client name is not disclosed under NDA; sector and scale are verified reference points.
Typically 4–6 months depending on integration depth. A phased plan follows discovery.
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