Process and analyze incoming data

For basic use cases, data validation may be all that is needed. However, in many use cases, the real value of flows comes from analyzing data and then taking actions on it using modules.

Some examples of the actions you can take to process and analyze data include the following:

• Make basic calculations using the Math module.

• Get statistical properties for your timeseries data with the Statistics module.

• Remove noise with the Smooth module.

• Check the uptime of a machine with the Time Counter module.

• Check the yield from your discrete production line using the Message Counter module.

For more advanced processing, the following modules can be used:

• Code modules for C#, Python and Javascript: Implement any algorithm

• Python Bridge module: Allows you to use any third-party library. For example, you could use a machine language (ML) library to train a model to analyze your data.

You can find modules that help process and analyze data under the Process & Analyze category in Flow Studio's Module library:

• Calculations & Statistics

• Custom Code & ML