The Data Quality Service ensures integrity, accuracy and consistency of data throughout its lifecycle. Leveraging cutting-edge tools, it provides end-to-end solutions for pre-data migration checks, post-implementation quality monitoring, ensuring pristine data before ingestion into cloud platforms. Trusting your data remains reliable, compliant and actionable, empowering informed decision-making, driving business success.
Informed decision making
Benefits
Efficient decision making across the business
Increased user confidence in data
Identifies areas for product and/or process improvement
Maximise value of data to businesses
Identifies where a new system requires strategic attention
Vital step ahead of attempting to utilise analytics and AI
Features
Post-implementation data quality monitoring detecting deviations
Receive notifications for anomalies, enabling corrective action to maintain integrity
Identifies key areas for product and/or process improvement
Ensure all surfaced data is accurate, meeting business quality requirements
Understands where adoption of a new system requires strategic attention
Metrics providing automation for monitoring, alerting and reporting quality issues
Case Study:
West Suffolk NHS Foundation Trust
Dame Fiona Caldicott’s review of data security, consent and opt-outs, acknowledges the potential for data to transform the way health and care is delivered, but it also clearly identifies concerns – both inside, and outside the NHS – as to how this data is stored, managed and accessed.
