The webinar shows the relevant steps for a successful implementation of machine data collection.

Data ≠ Answers 📊 🔍

Data alone does not provide answers; it must be structured, analyzed, and contextualized, only then can insights be gained.

For the successful use of machine data, the following four steps are necessary:

1. Connectivity: Extract data, ensure accessibility.

2. Prepare & structure data: Find the right data, model the data.

3. Enrich data with context: Complement machine data with relevant information.

4. Analysis tools for manufacturing: Enable fast, simple analyses.

How these can be concretely implemented, what typical pitfalls are, and what best practices exist, you will learn in the webinar.

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See you then!