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
"Our Go Live for data migration was far smoother than we anticipated, with no post–go live issues related to DM to date. The involvement and commitment from the team at Stalis was instrumental in identifying and resolving last-minute issues quickly.
A couple of inevitable communication challenges at the beginning of the project which were resolved quickly, the team’s deep experience with Millennium proved invaluable in helping us understand the impacts and required fixes. A huge thank you to the entire Stalis team for their support throughout the programme.”
Daniel Brecht| Associate Director of Informatics at Barking, Havering and Redbridge University Hospitals NHS Trust
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.
