Black Box company data is holding back the fight against financial crime.
In a world where technology, transparency and inter-connected datasets are increasingly essential to uncover illicit activity involving companies – Black Box data is no longer fit for purpose.
That’s why the White Box data revolution is underway: replacing opaque, ill-defined and poor quality data with transparent data you can trust to scale your anti-financial crime solutions.
Register to hear about how White Box company data can power your anti-financial crime efforts – whether you’re automating due diligence processes or joining the dots in cross-border investigations.
- Today’s challenge: why Black Box data holds us back
- White Box data: why we need provenance, transparency & quality feedback loops
- Case study: how Exiger’s DDIQ automates due diligence with OpenCorporates’ data
- Rebecca Lee, Chief Impact Officer, OpenCorporates
Before joining OpenCorporates, Rebecca led PwC’s Investigative Analytics group – a team of 30 data scientists and investigators using data to detect, investigate, prevent and remediate a range of issues such as anti-money laundering, Know Your Client, bribery & corruption, sanctions and fraud. Her expertise across projects at PwC and her prior roles at Deloitte, include disputes, cyber breaches, reactive regulatory investigations and remediation through to proactive compliance and risk management. Many of the projects she managed were high-profile and especially challenging due to the complexity, scale and volume of the data, and often had a global reach – involving periods working in Iceland, Dubai, South Africa and Switzerland.
- Aaron Narva, Senior Vice President & Head of Corporate Markets, Exiger
Aaron Narva is the Head of Corporate Markets, based in Exiger’s New York office. He leads the development and delivery of Exiger’s purpose-built AI-powered solutions for anti-bribery and corruption compliance. While at Exiger, Aaron has conducted in-depth testing and review of complex financial institution compliance and anti-money laundering (AML) programs both in the US and abroad. His experience includes detailed assessment of transactions, customer due diligence, and policies and procedures.
Watch if you work in:
- Know Your Customer (KYC) / onboarding
- Anti-money laundering (AML)
- Financial crime compliance
- Third party risk management
If instead, you’re an investigative reporter looking to understand how to use OpenCorporates data for your investigations, you may find this recent masterclass helpful.
You may also be interested in…
- Report: The White Box Data revolution
The report shows how the inherent problems of Black Box data have been exacerbated with recent trends like KYC regulation, globalisation and the connectedness of data. It offers a solution to the problem: White Box data.
Read report >
- Case study: Exiger’s DDIQ
Read how Exiger’s DDIQ automates due diligence verification using OpenCorporates’ data – helping identify risk at scale.
Read case study >