Data processing takes place in different ways and with different technologies. Processing problems are resolved at the solution level, causing a high degree of fragmentation of control, where transparency can not be achieved. The second problem is in the efficiency of operation, since most solutions do not have a built-in metric to determine the processing efficiency.
With the help of a series of processing services, the data is processed within a controlled operating environment, which ensures consistent and robust data processing in all segments. Infrastructure takes care of all forms of data processing, from distributed, interdependent, parallel, asynchronous, automatic, periodic to remote.