Forensic data analysis: Difference between revisions

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The analysis of large volumes of data is typically performed in a separate database system run by the analysis team. Live systems are usually not dimensioned to run extensive individual analysis without affecting the regular users. On the other hand, it is methodically preferable to analyze data copies on separate systems and protect the analysis teams against the accusation of altering original data.
 
Due to the nature of the data, the analysis focuses more often on the content of data thenthan on the database it is contained in. If the database itself is of interest then [[Database forensics]] are applied.
 
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: A data analyst to perform the technical steps and write the queries, a team member with extensive experience of the processes and internal controls in the relevant area of the investigated company and a forensic scientist who is familiar with patterns of fraudulent behaviour.