Different cellular networks employ their own call data billing formats, which are often incompatible with other operator’s formats. In cases that involve phones belonging to different networks data files often have to be combined into a single table for evidential purposes. The process of analysing pages of billing data and taking out repetition or collapsing multiple CDR entries into a single record is known as ‘cleansing' the data and the process of converting data into a common format is known as ‘normalising’.
CSAS can import multiple call data billing files in one batch and cleanses, normalizes and combines the data quickly and accurately to create an evidential call table that can also include colour-coding for significant phone numbers and associated attribution details.
CSAS is able to output processed data in a variety of call schedule formats. The formats are simple to update, allowing customers to create output schedules that match their organisation’s preferred format.
The output call schedules can be used for intelligence purposes, to distributed details of process call data within an investigation team, or for evidential purposes – CSAS call schedule formats are ‘court-ready’ and simply need to be printed out to use as court exhibits.
CSAS imports call billing data and stores it in an indexed database. Once in the database it can be viewed (using our powerful CDR Browser feature), filtered (by date/time, called/calling numbers, call type, etc.) or queried (using our best-in-class analytical engine). CSAS Analytics supports a range of standard queries – Top Callers, First Call/Last Call analysis, IMEI & IMSI timelines and many others - which allows analysts to gain quick, accurate access to information related to individual phones or to a collection of handsets.
We understand the difference between ‘intelligence’ data and ‘evidential’ product. CSAS treats each investigation as a separate case and as an investigation evolves, CSAS will log activity for continuity purposes providing a case-specific audit trail. It also provides tools that allow users to trace the set of processing decisions made by CSAS when cleansing data files.
This provides users with the ability to answer questions related to ‘how’ CSAS processed a data file and ‘why’ the output data is formatted in the way it is presented. The audit, continuity and explanatory information provided by CSAS make it not only a powerful intelligence tool but also a key part of the evidential process.