Organisations can struggle to uncover hidden connections and insights in data in order to identify fraudulent behaviour. The challenges can include:
- The sheer volume of information or transactions that are handled
- The speed with which technology operates allows fraudsters to capitalise
- Siloed data sets; the difficulty of including external data sets and databases; the challenges of cross-industry data collaboration
- Trying to make sense of the huge number of spreadsheets generated when undertaking an investigation
To aid investigators and data analysts in their efforts to prevent fraud and highlight connections between individuals of interest, many organisations are turning to a new set of software tools to aid fraud-detection and provide analytical evidence that can lead to a successful prosecution.
IBM i2 provides rich visual analysis capabilities that help quickly turn complex sets of disparate information into high-quality, actionable intelligence. This helps analysts build a single cohesive intelligence picture to predict, prevent, detect and investigate criminal, terrorist, and fraudulent activities.
Software Analytics to fight fraud
We worked with SECOM to leverage the power of the IBM i2 iBase intelligence system to proactively tackle in-store crime and enable significant operational savings for the CO-OP. Creating a solution that analysed near real-time data and intelligence captured from surveillance systems along with other siloed databases, including crime reports, in ultra-fast time.
Seamlessly analysing this data to generate insights that could be used to proactively tackle incidents in-store and bring criminals to justice.
Accelerating Intelligence-led Operations
We worked with Stats Perform to implement IBM’s i2 Intelligence Analysis portfolio of tools to extend the capabilities of their integrity operations. The insights helped the team make best use of the data resources in near real-time.
IBM i2 iBase allowed capture, control and analysis of multi-source data and to highlight potential corrupt activity in sport and Sintelix, an advanced information extraction and visualisation tool made it possible to collect data from external sources – including social media – into the i2 environment.