käyttödataanalyysillä
Usage data analysis, known in Finnish as käyttödataanalyysi, refers to the systematic examination of data generated by users interacting with a system, product, or service. It involves collecting logs, clickstreams, transaction records, or sensor outputs, and then employing statistical and machine‑learning techniques to uncover patterns, dependencies, and anomalies.
The foundational steps include data acquisition, cleaning, aggregation, and transformation. Tools such as SQL, Python libraries,
Industries that rely heavily on usage data analysis include e‑commerce, software as a service, telecommunications, and
Benefits of usage data analysis include improved customer satisfaction, higher conversion rates, more efficient resource allocation,