P2 Enterprise Data Platform
Transform loan servicing operations from 12-16 hours of manual work to 30 minutes of automated precision. Purpose-built for scale, compliance, and securitization.
- 12-16 hours per month per remittance report (x2), with 100% of loans requiring manual review (avg. 4,702 incorrect data fields that require manual intervention)
- 2M+ active Excel-based formulas are prone to human error and version control issues (on average, we process 16,242 datapoints per day, which leads to correcting 1,417 discrepancies daily)
- Manual copy-paste operations for prior month data creates reconciliation risks
- No centralized database—data scattered across Midwest exports and local files
- Unsustainable as portfolio scales toward 1,000+ loans for Series B growth
- Automated data ingestion from Midwest with intelligent validation engine
- Centralized PostgreSQL database with full audit trail and data lineage
- +102 new automated rules-based, system-enforced business rules, logic, and validations for remittance reporting, with real-time exception flagging
- Executive QA Dashboard for instant portfolio health visibility
- One-click report generation with 99%+ accuracy guarantee
Enterprise Data Ecosystem Overview
High-level architecture showing data flow from dealers through servicing to capital markets reporting.
Database Schema & ERD
Complete entity relationship diagram with 12 core tables and comprehensive field definitions.
Data Quality Framework
18 validation rules, exception management workflow, and data lineage tracking systems.
Technology Stack Integration
Full system integration map connecting DLA, DigiFi, Midwest, and capital markets partners.
Data Dictionary & Field Mapping
Detailed reference for all 66 fields with source systems, business rules, and validation logic.
MVP Implementation Roadmap
12-week phased delivery plan with milestones, test cases, and go-live criteria.
Process Workflow Diagrams
SIPOC, swimlane, value stream, and fishbone analysis of current vs. future state operations.