Risk and Intelligence
The ATO’s Risk and Intelligence team needed a better way to investigate potential leads across large volumes of restricted, unstructured data.
FISC enriched the new data by inferring client identities. This enabled FISC to connect it to the indexed databases and client history, then empower select users with a more comprehensive client view to streamline their investigations.
The ATO’s Risk and Intelligence team is a specialised unit with access to large volumes of intelligent data from multiple sources. Most of this data is free-format, or unstructured. It is not connected to other databases or categorised in ways that will aid an investigation. Reviewing the information and tagging useful data points is typically a manual, time-consuming task. This process is often repeated when new investigations are needed. Efficient outcomes rely heavily on a group of specialist staff’s knowledge of the data.
FISC was deployed to index these separate datasets and include them into the existing unified index. Access to these records was limited to people who had permission to view the restricted data. FISC then used a combination of its native identity identification algorithms and the client’s in-house identity matching process to infer client and business identities within the data. This enabled the data to be connected to existing databases and datasets based on client identity. A similar analysis can be performed on other useful attributes such as topics or themes. Investigators could now see all the useful information about clients in one place and could identify relationships and behaviours of interest.
- Significant reduction in investigation times—staff typically spent hours connecting entities between datasets and identifying relationships.
- Flexibility to analyse and connect intelligence data by multiple facets to better identify patterns and behaviours of interest.
- Streamlined understanding of new data and its relative importance.