Automate complex third party supplier due diligence checks to better protect your business

True single intelligence environment for third party supplier checks – Along with Synalogik datasets, internal data and open-source intelligence, Scout®’s third party integrations include Companies House, CIFAS, Creditsafe, DVLA, DVSA, Equifax, Land Registry, LexisNexis and TransUnion datasets.

Synalogik datasets – Synalogik datasets include standard, enhanced and premium personal identifiable information (PII); global commercial data; PEPs and Sanctions; credit application; disposable phone and email; credit address links; CCJ and bankruptcy; land registry; and compromise checker, among others.

Create search and risk assessment workflows that collate and analyse across your data sources, along with visualisation of links, make it much easier to discover hidden connections and third party risk.

Customise your workflows to assess risk of all complexities, at any stage of the third party supplier relationship, whether it is simple or high-risk customer onboarding or ongoing monitoring.

Include variable data like Companies House to monitor your suppliers, reassess at periodic points, and then proactively identify third parties whose patterns of behaviour are moving towards offending.

The generation of reports in less than sixty seconds allows you to make decisions more swiftly, onboard suppliers and improve operational efficiency.

Standardised, concise reports with all sources referenced enable your analysts to make better decisions – and avoid financial and reputational damage.

Automation of cross referencing and drawing links across disparate datasets reduces the errors that can occur when doing this manually and improve accuracy.

Scout® overcomes the problem of returning too many results from open-source searches with tools to create highly targeted automated searches around keywords, proximity, time-frame and document type.

Our sophisticated cleansing technology reduces false positives by allowing you to evaluate potential targets from multiple data sources by prioritising on name spelling, date of birth or even location.