1
Capture

Data sources are scattered across the entire infrastructure, access is uncontrolled, there are many security holes, for many we do not even know. Often, access is duplicated and any change is potentially causing the instability of the solution.

All sources of data are connected to a single data infrastructure, which is controlled and managed by a single control point. Data flows are transparent, secure, and easy to maintain. With built-in diagnostic tools, the dependence and connection of data sources and processes are transparent and the changes can be implemented without any risks.
Capture

2
Process

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.
Process

3
Distribute

The distribution of data is impossible in most solutions, as these functionalities do not support. Solutions that allow data distribution are incompatible and maintenance of user configurations is extremely difficult and very error-prone. The distribution functions available in one solution are not available in others, and therefore a consistent configuration and distribution is not possible.

Data is sent through any communication channels, personalized and with minimal latency. Emails, SMS, social networks, external systems or any specific services are recipients of an active distributed system that sends rich content in any form, including files and multimedia content.
Distribute