Dataanalyysin
Dataanalyysin is the systematic process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. In Finnish-language contexts the term dataanalyysin (the data analysis) is used to describe this discipline and its practical activities. The scope spans simple descriptive summaries to complex predictive models, and it applies across many domains, including business, science, and public policy.
Core activities in dataanalyysin include data collection and cleaning, exploratory data analysis, statistical modeling, machine learning,
Dataanalyysin is closely related to statistics and data science. While statistics emphasizes inference from data, dataanalyysin
Ethical and governance considerations are central to contemporary dataanalyysin. Issues include data quality, privacy protection, bias