Data Analytics has been saved
Working proactively to identify potential issues before they occur
In a forensic investigation, we use our advanced analytics capabilities and deep technical experience to help clients quickly and efficiently address issues. We deploy sophisticated analytics approaches to gain a deeper and more complete understanding of what has occurred and how similar problems can be prevented. We also help detect inefficiencies and anomalies in clients’ systems to drive business strategy and performance, manage and mitigate risk and meet specific business imperatives.
The Data Analytics continuum across data strategy and foundation constitutes descriptive analytics (hindsight), prescriptive analytics (insight) and predictive analytics (foresight).
Our Data Analytics specialists provide a range of services to help explore evidence, and to model past and possible future events by using a systematic approach by analysing structured and semi-structured data. Our solutions include the use of visual and interactive models that enable our users to interrogate the data in a simple and intuitive manner. Our specialists call on various techniques to uncover evidence of schemes or scenarios, develop models that depict historical events and build predictive models for anti-fraud/corruption efforts and segmentation.
By combining our Data Analytics specialists with deep Financial Crime subject matter experts, we are able to build descriptive, prescriptive and predictive analytics models to answer questions relating to key financial crime risk topics including fraud, bribery and corruption, money laundering and sanctions. Some examples include fraud detection, sanctions screening and lookbacks, customer risk rating algorithms, AML data remediation and transaction anomaly detection.
Our team can assist business users with having a clear overview into their data using effective user interface and experiences standards. Our data visualisation capabilities allow complex data structures, relationships and trends to be viewed and navigated, even with unstructured or abstract data. Our solutions are catered to solve a wide range of business needs, including executive KRI’s and KPI’s, operational monitoring and reporting, marketing campaign effectiveness, compliance monitoring and predictive and scenario planning, among others.
Business users often face the challenge of having complex advanced analytical models that simply do not answer the business question. Our statistical tools and technology, along with a combination of our subject matter experts and our Data Analytics specialists, aim to design and develop descriptive, prescriptive and predictive models in a manner that generates insights to business users. These methods support organisations in making decisions more accurately, objectively and economically to ensure future success and mitigate several key risk areas.