KPMG uses advanced data analytic tools to improve investigations by pinpointing high-risk areas. Our experienced team gather relevant data from different sources and create a comprehensive view, enabling efficient sorting, filtering, and querying. By employing data analytics, we uncover anomalies and unknown patterns that may indicate fraud. This helps the investigations team concentrate on specific processes, individuals, or transactions for further investigation, guiding their strategy and optimizing resource allocation.

How we can help you

During the initial phase of K-FACTS, the primary objective is to aggregate and consolidate relevant data from diverse sources. This includes essential information such as financial records, transactional data, employee details, and other critical data points. By centralizing this information into a unified system, K-FACTS ensures the creation of a comprehensive dataset ready for analysis.

In this phase, the focus is preparing and exploring the collected data. This involves essential tasks such as data cleaning, transformation, handling missing values, and ensuring data quality. With the help of the K-FACTS we conducts exploratory data analysis to uncover insights, identify patterns, and understand the relationships within the dataset.

During this phase, we employ advanced analytics techniques to detect anomalies and reveal potential patterns of fraud. By utilizing statistical analysis, machine learning algorithms, and anomaly detection methods, we identify unusual behaviors, suspicious transactions, and patterns that may indicate fraudulent activities. This enables the system to generate alerts for further investigation.

Once potential anomalies and fraud patterns are detected, K-FACTS provides robust support to the investigations team. K-FACTS generates comprehensive reports, visualizations, and case summaries to assist investigators in understanding the findings and guiding strategic actions.