Fueling Transformation with Automation

Although undoubtedly a complex subject, thinking about maximizing business value using automation is achievable when planned carefully

Step 3: Output

Now that you have performed the processing step, you should have an output that can be used to trigger an action, whether it is directly used as an input into another process (return to step 1 using the output of this step) or is an action in itself (e.g. a trouble ticket has been raised).

Testing the output you get from your process steps is critical to ensure that your input, processing and output are all correct. Using test data to run through the process steps is often the best way to ensure that the end-to-end process is working as you designed it.

Although undoubtedly a complex subject, thinking about maximizing business value using automation is achievable when planned carefully. Having the right data and understanding it and what you want to do with it is critical. Having a solution to be able to define, execute and manage your automation is also essential.

Using automation to fuel transformation

With ever-growing requirements to make quality improvements—such as reducing alarms and eliminating service outages—while cutting cost in operations, service providers must also be prepared to meet ever-increasing customer expectations for new products.

At Federos, our software-defined operations platform helps our customers improve their operational efficiency and reduce costs by understanding and using their data to automate workflows. Based on the above guiding principles and best practices, our approach and solutions allow service providers to define their own processes and use their own data to drive automation—providing them the confidence to fuel needed transformation.

Underlying our software-defined operations platform, Federos provides unique capabilities to unify data from fault, performance, topology, flow and service sources and perform root cause analysis and machine learning horizontally across all these data sources. This provides an extremely high level of accuracy and certainty when implementing automation. Further, our ‘open box’ approach allows the full definition and management of any data analysis processing logic. The modelling of business processes is performed using industry-standard methods (BPMN 2.0) and is further enhanced by the ability to integrate external systems such as change management, inventory, CRM, service and ticketing systems. In order to present results in the most effective way, our platform also provides industry-leading intelligent visualization solutions to maximize operational efficiency.


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