We monitor your data continuously for 50+ data errors unique to staffing companies. That way we make sure that the unusable part of your data becomes useful again for recruiters, algorithms and communication tools.
Having implemented a lot of matching algorithms, we found the most important predictor of ROI to be data quality. Fixing the data quality means a working matching algorithm, without exception.
By standardising data and automatically looking for missing fields, we can save recruiters' time that they usually spend by rephrasing search or looking for candidates they remember but can't find or contact.
Your analytics will improve when your data does. Make sure you make all the right decisions, based on the right data.
We monitor your data continuously for 50+ data errors unique to staffing companies.
Mappings & standardisation
Inconsistencies between data sources
Expected experience/certificates/skills missing
Unmatchable profiles & find out why
Duplicates & outlier values
Add your own data errors & solve rules to create a unique competitive advantage.
Our algorithms solve data errors automatically and augment your data.
Evaluate recency of data sources
Follow data governance rules
Use predicted values from matching algorithm
Use notes/email chains/resumes
Use your mappings & our existing huge database of synonyms
By checking input & providing feedback right in your ATS, we prevent data errors as well.
We even ask candidates & recruiters to fill in data gaps when it fits their journey.
We integrate with all the default ATS systems and will have you set up quickly.