In the past 6 years BDEX has identified a LOT of bad data in the DMP/DSP and Identity Resolution ecosystem. We have taken many steps to identify and filter out this bad data from our platform which sees billions of real-time transactions per month! This gives us a lot of data to analyze.
All data is NOT equal, and we have taken steps to establish our graph as the highest quality graph in the industry. We have developed algorithms to identify and filter out all of the following:
1. Bad MAIDs:
(invalid MAIDs, old MAIDs no longer active, over-linked MAIDs)
2. Bad MD5s:
(invalid MD5s, bad emails, improperly hashed emails, over-linked MD5s)
3. Bad Linkages:
(over-linkedIDs, oldlinkages, inactive linkages)
Our test results of data from over a dozen top tier data companies resulted in 7% to30% of bad data falling into the above 3 categories.
Upon implementing the BDEX ID Check toolset, your data will be scored as follows:
BAD: This data failed 1 or more of the most crucial checks above and has been identified as either fraudulent, errant or malicious.
SUSPECT: This data has been flagged as suspicious meaning it may have passed the most crucial checks, but remains suspicious due to failing 1 or more of the secondary checks.
GOOD: This data passed all of our most crucial and secondary checks.