1. Clear definitions
Our continually researched audit and data definitions simplifies the collection process for people working in services.
We provide weekly training and personalized support to guide our clients in entering the right data.
2. Rules engine
Data entry pages have in-built validations that flag impossible and improbable data at the point of entry.
3. Data volume
We draw in the previous 13 months data when processing benchmarks. This volume of data is important in ‘washing out’ any poor data.
Statistically significant results are flagged with managers in real-time. Our team monitors data and flags and proactively contacts services with questionable data.