Gatekeeper DQ: Real-Time Data Contract and Correction Sidecar for ERP

Integration & Automation
🔥
10/10
Demand Score
Bad data corrupts inventory, billing, and reporting in real time; every bad record compounds costs.
🌊
7/10
Blue Ocean
Competition Level
💰
$5k-25k
Price/Month
Predicted customer spend
⏱️
12 days
Time to MVP
Difficulty: Hard

The Problem

A low-latency sidecar that intercepts master and transactional entries at the point of capture (UI overlay, API proxy, import guard) to enforce data contracts, detect duplicates, and suggest correctio

🔗 Validated by Real User Complaints

This problem has been verified through 5 real user complaints:

Competitor Landscape

  • Informatica Data Quality
  • Ataccama
  • Precisely Trillium
  • Talend DQ
  • SAP MDG

Must-Have Features for MVP

Field- and record-level validation policies with versioning
Real-time duplicate detection (fuzzy match) for vendors/materials/invoices
AI suggestions for standardization (e.g., UOMs, addresses, GL coding)
Owner routing with SLAs and auto-fix micro-bots
Import/EDI guardrails and vendor portal pre-validation
Trust scores and DQ SLO dashboards by source/team
Redaction, audit trails, and rollback queue

⚠️ Potential Challenges

  • Achieving sub-150ms validation latency under load
  • Balancing false positives vs. operational flow
  • Complex schema and reference data harmonization
  • Change fatigue for frontline users if prompts are noisy

Risk Level: Moderate

🎯 Keys to Success

  • >60% reduction in DQ-related rework tickets within 90 days
  • Increase first-time-right rate to >95% on targeted entities
  • Cut invoice/PO exceptions by 40%
  • Shrink DSO or inventory variance by measurable targets

Ready to Build This?

This hard-difficulty project could be your next micro-SaaS success.