Pansafe Infinite Dataset Visualization Platform (IDVP) provides a new visual analysis investigation function, enables analysts to quickly grasp the relevant information. It is also for the prevention and combating of crime to provide timely support, in order to make the analysis report more effectiveness and accuracy.
Data processing of cases involved a variety of information, difficult to have specialized tools for analysis, manual analysis is usually method. The process of analysis is non-structural and uncertainty, it is not easy to form process or mode of the analysis, and it is hard to make information in the investigation and forensic to enter the existing system. With a powerful IDVP, can be associated with various types of data into the system, make a complete analysis chart, and display the overall analysis and evidence chain.
Main Functions
- Plug-ins and scripts by importing let a variety of formats, log data, structured data and unstructured data into the data center
- Through the function of basis of analysis and script, integration and analysis of the imported data
- Demonstrated the data and scripts make data object-oriented and generate understandable information map; search, remove or display the key points
- Plug-ins and scripts by exporting, data export to a variety of possible format
- Generated script as a specific solution
- Extensible plug-ins and script library
Technical Features
- Better stability
In most of data analysis software, the easiest place to crash often occurred in the process of structured data, IDPV is using multi-process approach to effectively deal with exceptions, to ensure continuous and stable work.
- Better database support
Unify data center solution, supports SQL databases and NoSql database at the meantime.
- Brilliant visualization
Offer a variety of graphical display, include: a variety of distribution (center of distribution, tree distribution, the level of distribution, subject distribution, etc.), charts (pie charts, column charts, area charts, trend, scatter, etc.). Direct relationship between the data, facilitate the visual display.
- High scalability
Provide the appropriate API at various stages of data analysis, use of mature language Python as the scripting language, customers can easily customize the features, number of predefined scripts built-in the system, support common data type system with built-ins and scripting.
- Abundant source of data
System built-in the text files, binary files, database, PDF, Excel and other data analysis, and through plug-ins and scripts to support the growing data sources.
- Variety ways to export data
Provide common file formats for scripting and plug-ins to export the results, such as: Word, Excel, Html, PDF, etc., and increasing the supported formats.
