Data Quality Engineering

Match tuning, survivorship repair, and golden record governance that actually holds

Typical duration
4–8 weeks
Best fit
Post-go-live organizations with rising duplicates or eroding trust in golden records
Deliverables
6 included
Engagement
Fixed scope

Overview

If your stewardship queue keeps growing and your business users don't trust the golden record, your match and survivorship rules need recalibration — not more stewards. We run forensic audits on your Reltio configuration against real production data, identify exactly where false positives and false negatives are occurring, and deliver tuned rules that measurably improve data quality within weeks.

What's included

Match rule forensic audit with false positive/negative root cause
Threshold recalibration using stratified production data samples
Survivorship rule redesign by attribute, source, and recency
Data quality rule library with automated validation
Source system reliability scoring and ranking
Quality KPI dashboards and ongoing monitoring framework

We deliver tuned configurations, not just audit reports

Most data quality engagements produce a document. Ours produce working Reltio configurations. We run match rule calibration against your actual production data, deliver recalibrated thresholds, and validate results before we close the engagement.

If your duplicate rate is climbing, your match quality has degraded, or your stewardship queue is growing faster than your team can process it — a focused data quality engagement typically delivers measurable improvement within six weeks.

Engagement details

Typical duration
4–8 weeks
Best for
Post-go-live organizations with rising duplicates or eroding trust in golden records