Unstructured data in contrast is taken from communication and office applications or from mobile devices.
This data has no overarching structure and analysis thereof means applying keywords or mapping communication patterns.
Live systems are usually not dimensioned to run extensive individual analysis without affecting the regular users.
In order to analyze large structured data sets with the intention of detecting financial crime it takes at least three types of expertise in the team: After an initial analysis phase using methods of explorative data analysis the following phase is usually highly iterative.
Starting with a hypothesis on how the perpetrator might have created a personal advantage the data is analyzed for supporting evidence.