Understand
Know where data comes from, what it means and how it changes.
Govern the data journey, not only the final report.
MDQA makes data quality operational by connecting ingestion, normalisation, reconciliation, rules, glossary, lineage, remediation, orchestration and reporting.
FROM SOURCE TO USE
Quality is a process, not a final check.
MDQA provides a controlled chain in which every transformation, comparison, rule and exception can be traced and managed. This helps Data Office, IT, Risk and reporting teams work on the same evidence.
Control
Apply repeatable checks, reconciliations, thresholds and exception handling.
Improve
Turn anomalies into remediation actions and measurable quality evolution.
A modular operating chain for governed data.
PLATFORM
MDQA
The platform that connects Data Integration, Data Quality, governance and remediation.
Explore →NORMALISENormalizer
Bring heterogeneous data into a governed structure.
Explore →RECONCILEReconciler Tool
Compare sources and explain mismatches.
Explore →QUALITYData Quality & Glossary
Quality rules connected to shared business meaning.
Explore →COMPOSEData Composer
Build governed, reproducible output datasets.
Explore →ORCHESTRATEProcess Orchestrator
Coordinate sequences, dependencies and outcomes.
Explore →REPORTDashboard & Report
Make quality, trends and anomalies visible.
Explore →Source → Control → Remediation → Trusted information.
DATA GOVERNANCE
Start from one critical data flow.
We can analyse sources, controls, reconciliations, lineage and remediation points and define a practical MDQA path.
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