Data Analytics
In a rapidly evolving risk landscape, we use data, analytics and advanced technologies to help clients stay ahead. Our data analytics team brings together analytics specialists, industry expertise and market-leading technologies to derive insight and uncover hidden patterns from large and complex volumes of data.
What we do
Proactively, we help businesses detect financial crime, data breaches, fraud, waste, misuse, abuse, corruption and cybercrime. Reactively, we will investigate events and assist in regulatory or litigation responses. We can apply machine learning, natural language processing and robotic process automation to help our clients gain insight.
We help our clients in a wide range of scenarios including:
- Financial Crime: we help clients detect and prevent financial crime. Services include helping transform a client’s financial crime technology landscape by deploying data analytics and machine learning techniques to help streamline compliance in sanctions and transaction monitoring.
- Fraud Investigations: clients involved in an investigation must quickly collect, manage, and assess their data to gain insight. With decades of industry, legal and technical experience, our multidisciplinary teams know where and how to forensically collect data, how to analyse it, and thus determine facts and evidence to support a case. Data sources could include e-mails, chat data, loose files, ERP and CRM systems, complex trading platforms, financial records, cryptocurrencies and digital currencies.
- Compliance: our teams use analytics to help organisations identify gaps in their internal controls, increase risk transparency and improve decision-makers’ understanding of business risks. By lowering the probability and severity of losses, clients can reduce the cost of compliance.
