Continuous Data Quality Governance — Quality That Holds Over Time
Data quality isn't a one-time cleanup — it degrades as new data arrives. deKorvai keeps quality high continuously: it applies configurable rules, scores quality in real time, and flags anomalies and drift before they spread, with reports ready for governance and audit.
every run monitored · every record audit-logged, source to target
Data quality governance is the ongoing practice of keeping core data accurate, complete, and consistent as it changes over time — not just fixing it once, but monitoring it continuously.
deKorvai applies configurable data quality rules, delivers real-time scorecards across quality dimensions, detects anomalies and drift, and produces reports for governance and audit — so quality holds instead of decaying.
Data quality decays the moment you stop watching
A cleanup project fixes today's data. But new records arrive daily, systems drift apart, and quality quietly erodes until something breaks downstream.
Quality degrades over time
Every new load introduces fresh errors. Without continuous checks, data drifts back to messy.
Issues surface too late
Problems are usually found downstream — in a report or a failed process — long after they entered.
No shared view of health
Without scorecards, nobody agrees on how healthy the data actually is or whether it's improving.
Audits need evidence
Governance and audit require proof that quality is measured and managed — not assertions.
Measure, monitor, and hold data quality
Configurable DQ rules
Reusable business and technical rules check completeness, accuracy, and consistency.
Real-time scorecards
Live quality scores and trend insights across data quality dimensions.
Anomaly & drift detection
Detects data drift, duplicates, and inconsistencies as they emerge.
Invalid-data reporting
Surfaces invalid records for review and correction.
Continuous monitoring
Ongoing quality monitoring rather than one-time checks.
AI rule generation
Generate DQ rules from a natural-language prompt.
Cleansing & standardization
Embeds cleansing, standardization, and quality gates into ETL workflows.
Governance & audit reports
Comprehensive reports for governance and audit.
Profile → Validate → Score → Monitor → Report
Profile
Discover metadata and profile data structure & content.
Validate
Apply DQ rules to detect anomalies.
Score
Real-time scorecards across quality dimensions.
Monitor
Continuous monitoring for drift & new issues.
Report
Governance- and audit-ready reporting.
What continuous governance delivers
Quality that holds
Continuous monitoring keeps data healthy instead of decaying between cleanups.
Issues caught early
Anomalies and drift are flagged as they appear, not discovered downstream.
A shared view of health
Real-time scorecards give everyone one agreed measure of data quality.
Audit-ready evidence
Reports demonstrate that quality is measured and managed over time.
Governance runs on deKorvai's capabilities
This solution is delivered by the deKorvai platform — explore the capabilities behind it.
Profiling on real enterprise data programs
Evident Scientific
S/4HANA roll-out (US) — master & transaction data migration with profiling
GRT Ethanol
S/4HANA GROW program — legacy data loads to a 3-month target
Data quality governance, answered
Often paired with governance
Keep your data quality from slipping
See how deKorvai scores your data quality in real time and holds it with continuous monitoring.
Book a DemoA working session on your data quality