We know that the quality of input data directly impacts screening results. If you put rubbish in, you are more likely to get rubbish out. Better data quality results in fewer false positives and more true matches, allowing you to focus on the signal of risk without the distraction of noise.  

Most providers rely solely on algorithms to compensate for poor data quality, with many employing a loose matching system that leads to numerous false positives and leaves true matches buried. But at KYC360, we help you to identify and correct defects in your input data through a self-service data quality assessment tool that comes as part of our Batch screening module. 

Most providers rely solely on algorithms to compensate for poor data quality, with many employing a loose matching system that leads to numerous false positives and leaves true matches buried. But at KYC360, we help you to identify and correct defects in your input data through a self-service data quality assessment tool that comes as part of our Batch screening module. 

KYC360 is the only Customer Lifecycle Management platform in the world to offer this functionality as a core component of its screening solution because we recognise that there cannot be effective screening without stringent quality control of input data. We are not passive recipients of your data. We actively optimise it for screening.  

The data quality assessment tool will check and provide you with a report on any data quality issues, allowing you to take remedial steps and optimise your screening results. See the examples below. 

This data is then augmented by adding aliases and tags using rules based on years of experience and millions of screening searches. This augmented data which remains fundamentally unchanged is then matched with the data from our world-class partners including Dow Jones, LSEG World-Check, Sayari, IDPal and LexisNexis.  

Our unique approach gives you the reassurance that you won’t miss important results, allowing you to tighten your search parameters further upstream. This approach to data is how we’ve delivered a 95% reduction in false positives.