Data mining
Data mining is the use of statistical tools to find correlations and trends in large amounts of information from different sources, even when the information is not organized as a database.
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Source content checked . English translation published 2026-10-27.
In business automation
After processes populate tables, the question arises: what patterns recur in sales or inquiries? Data mining is the use of statistical tools to find correlations and trends in large amounts of information. In the guide, the term appears alongside machine learning and data warehousing, without claiming that a single report constitutes data mining.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Finding a correlation in inquiries without calling it a cause
A team exports inquiry history and asks which topics recur in the same week. They look for a correlation between the inquiry source and response time, and mark a finding as a hypothesis to investigate, not as a cause.
Relevant tools
- Metabase
- A tool for querying data and creating dashboards. Data mining is an analysis method. This does not claim that the tool performs data mining automatically.
What to check
- A correlation in a large table does not prove causation. Without further investigation, a decision may be based on a coincidental pattern.