Dow Jones Watch List & Data Screening Tools

Data quality is critical to effective customer screening

Any engine is only as good as the fuel that’s put into it and the same is true of customer screening technologies. We have built the best in class screening engines designed to be fuelled by Dow Jones data which, in our view is unparalleled in its quality and scope. Of particular importance is the extensiveness of second level identifiers which are critical to eliminating false positives.

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Dow Jones Data
Risk Categories
1 m+
Entities incl. Alias Data
Sanction Ownership Profiles

Data Quality Assurance


Providing truly global coverage Dow Jones data is maintained by a team spread across five dedicated research and monitoring centres providing 24 hour coverage across 68 languages. Over fifty percent of the Dow Jones research team are educated to Masters or PHD level.

One key advantage Dow Jones researchers have is the ability to leverage Factiva, Dow Jones 40 year old archive of more than 32,000 sources in 28 languages. Hundreds of thousands of articles from these sources are added to Factiva daily.

Dow Jones was the first list provider to pass a ISAE3000 review and as part of the data quality assurance mechanisms the Dow Jones sanctions data is audited and accredited to international standards.

Dow Jones data is relied upon for AML / KYC screening purposes by the following:

  • 3 of the 4 largest US banks
  • 5 of the 6 largest Canadian banks
  • 44 of the 45 largest Chinese banks
  • 5 of the 7 largest Japanese banks
  • 5 of the 6 largest Spanish banks
  • 4 of the 5 largest French banks
  • 4 of the 5 largest Scandinavian banks
  • 7 out of the 13 Wolfsberg Group

False Positives

By utilising Dow Jones data with our next generation screening technology we are able to reduce false positive results by up to 90% compared to other screening providers whilst providing our customers with a very high level of confidence that true matches are not being missed.


Data should be well organised to enable the screening engine to utilise it in a consistent fashion to deliver accurate results


Data sources should be as extensive as possible including secondary sanctions ownership data


The data has to be constantly maintained and be as up to date and accurate as possible.

Dow Jones Data


Many 'bad actors' engage with businesses utilising aliases. The best data sets contain the most alias data


Images help users identify whether potential matches are true or false


The best datasets capture data across as many languages as possible

Dow Jones Data Quality Report

Dow Jones’s Risk & Compliance Data Quality Report shares information and statistics about its performance over the previous year.