Data Quality Accelerator & Managed Operations Service

Cognizant’s Data Quality Accelerator is a self-service tool that lets business roles — not just data engineers — run the full data quality lifecycle. Users define critical data elements, profile them, and are guided by a built-in AI assistant to write and tune validation rules and thresholds in plain language, then monitor results, all within a single business-friendly interface. The Accelerator runs on AWS, backed by a dedicated metadata store and a scheduled data pipeline, and feeds a star-schema datamart and dashboard so leadership always has a current view of data quality across the organisation. On top of the tool, we provide a steady-state managed service that keeps the whole capability running and improving day to day. This covers metadata operations to keep the data quality store accurate; daily engine runs with confirmation and metric refreshes; issue triage and steward support to resolve rule errors and gaps; datamart and dashboard refreshes and publication; Accelerator upkeep, including patching and new releases; data pipeline health monitoring; and platform and access management to keep the engine connected to your data environment. Data quality issues have real operational and compliance consequences wherever data feeds statutory, financial or operational decisions. A data quality framework only creates value if it runs reliably every day — this service is the operational backbone that keeps it running, reduces dependency on scarce data engineering time, and turns a proof-of-concept into a repeatable, procurable capability that any organisation can adopt with confidence.