The Enterprise Data Platform converts Global Horizon Bank's transactional data exhaust into compounding business value. By centralizing analytics in a governed warehouse, embedding predictive intelligence, and surfacing decision-grade KPIs to executives and branch managers, the platform pays for itself within the first 12 months and unlocks high-margin growth thereafter.
| Pressure | Implication |
|---|---|
| Margin compression in retail banking | Need to optimize branch profitability and deposit mix |
| Rising fraud losses | Need real-time anomaly detection |
| Digital-first customer churn | Need predictive retention |
| Regulatory expansion (Basel IV, IFRS 9) | Need governed, traceable data |
| Talent leverage | Empower analysts with semantic layer |
| Lever | Baseline | Target | $ Impact |
|---|---|---|---|
| Fraud loss reduction | Reactive forensic detection | Real-time scoring | 25–40% reduction in fraud losses |
| Churn retention lift | Static rules | Predictive churn model | 3–5% retention improvement |
| Cross-sell uplift | Generic offers | RFM + NBO targeting | 2–3% cross-sell rate uplift |
| Branch profitability | Annual review | Monthly efficiency frontier | Re-allocate ~5% of capacity |
| Reporting time saved | 4–8 min queries | < 1.5 s | 60–80% analyst-hour savings |
| Reg-reporting compliance | Manual stitching | Auditable lineage | Lower audit findings + fines |
Conservative net financial impact: 8–12% lift in retail-banking contribution margin within 12 months.
| Category | One-time | Recurring (annual) |
|---|---|---|
| Engineering team (3 FTE) | $120k onboarding | $450k |
| SQL Server licensing (Enterprise) | $40k | $80k |
| Cloud / on-prem infra | $30k | $90k |
| ML compute | $15k | $40k |
| Training + change management | $25k | $20k |
| Total | $230k | $680k |
Assuming a $1.5B retail asset book and 0.3% fraud-loss rate baseline:
- Fraud loss baseline: $4.5M/yr.
- Reduction at 30%: $1.35M/yr saved.
- Churn retention lift on $400M revenue at 3%: $12M/yr retained.
- Year-1 conservative NPV: $9–14M.
ROI multiple: >10× year-one.
| Risk | Mitigation |
|---|---|
| Adoption inertia | Embed dashboard into branch-manager scorecards |
| Model drift | MLOps with drift monitors and quarterly retraining |
| Data quality regressions | DQ-scored medallion gates; alerts on score drop |
| Regulatory change | Governance framework + lineage already in place |
| Single-point-of-failure | Always On AG + DR drills |
The platform is also a capability asset:
- Open Banking compatibility — semantic views become external data products.
- AI-native expansion — feature store enables LLM/agent workflows for branch staff.
- Regulatory leverage — same architecture supports stress testing and IFRS 9 ECL.
- M&A integration — medallion structure absorbs target-bank data with bounded risk.
Approve the platform investment for production hardening and a 12-month feature roadmap. Expected payback < 9 months; strategic optionality is significant.