Explanation and possibilities

Logging and monitoring

If an automatic task does not run, you want to know why. Logging records events; monitoring makes the status of tasks visible.

How does it work in practice?

A useful overview shows when a task last ran, what was processed and which step requires attention. An error message must provide sufficient context to enable targeted recovery.

  • Show status and last processing time
  • Find errors and exceptions
  • Notify when data stops updating

An example from our practice

PDF and Excel

De Valk Advies

De Valk Advies

Read budget PDFs, check recognized lines and export them to Excel.

View De Valk Advies

Immerse yourself further

  • Automate repetitive work with Python

    Python can process files, perform calculations, and retrieve data from systems. This is useful for work that follows the same steps over and over again.

  • Link existing systems together

    An API connection allows systems to exchange data. For example, orders, stock or product information, without having to copy it manually.

  • Check data quality

    Reporting and automation require actionable source data. Checks reveal missing, duplicate or anomalous data.

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Our approach

What you can expect from OptiCore.