Smart Filters Accelerate Remediation

Learn about Smart Filters, part of Merlon’s latest release that let you zero in on relevant Findings even more quickly, resulting in faster remediation.

Dominik Ilichman

Dominik Ilichman

November 10th 2020
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Smart Filters Let You Quickly Focus on Relevant Findings

One of the biggest challenges of using adverse media to detect and mitigate risk is searching for common names. Investigating a subject like “James Smith” can yield hundreds of matches, many of which are irrelevant to your investigation.

Smart Filters, Merlon’s latest feature, solves this problem by allowing you to easily filter out Findings about a different person or entity than the one you are investigating.

How do Smart Filters work?

You can use Smart Filters to exclude results based on name, date of birth, occupation, and associated risk. These attributes are extracted from articles and shown in the Subject Information box on the top of each Finding card.

Merlon extracts only information that has a positive name match to the subject of the investigation. For example, Merlon will not extract attributes related to relatives or co-defendants of the investigated subject.

Based on extracted attributes, Merlon populates Smart Filters that are available in the left-hand panel.

At the top of the panel, you can navigate between sections of Findings based on their status – pending review, relevant, dismissed, or view all Findings. The available filter choices reflect the selected Finding status accordingly. For example, if you choose a pending review section, only filters related to Findings pending review will be shown.

By default, all Findings of the selected section are shown, and you can exclude certain Findings by unchecking attributes in the filter panel. To save even more time, Merlon clusters articles that are closely related into Findings, so when you’re filtering, you filter out Findings, which may contain multiple articles. 

To filter out a Finding, you must uncheck all its attributes within the filtering category. For example, if there are two occupations associated with a Finding, you have to uncheck both occupations to hide this Finding. Once filters are selected, you will see a blue infobox that informs you that you are looking at a subset of all available results.

In order to provide name filtering, Merlon identifies names that are Full Match, Partial Match, or Fuzzy Match to the investigation subject. Full Match reflects Findings that precisely match the search input, while Partial Match could include an extra or missing name element. Fuzzy Match includes near name matches with spelling variations.

Merlon calculates a person’s date of birth by subtracting the age indicated in the article from its publication date and provides you with a range of two plausible years of birth. For occupation, Merlon extracts any current or former job related to the investigated subject. The Associated Risks filter allows you to hide Findings that are not relevant to the investigation.

Smart Filters Let You Quickly Focus On Relevant Results

Given that due diligence analysts often have information about at least a full name and date of birth (or corporate entity name) of the subject being investigated, Smart Filters allow them to remove Findings that are not linked to the investigated person or entity.

For example, imagine you run an adverse media investigation for a 30-year-old James Smith. By using Smart Filters you can easily filter out 204 Findings and review only the remaining two Findings. 

We will welcome your feedback so we can improve Smart Filters to help you filter out even more irrelevant Findings.

We built Merlon to allow you to instantly use the power of AI to fight financial crime.