empirical analysis
Empirical analysis in IT and business
Using empirical analysis is highly effective in IT and in business. These areas can be highly complex, have interrelated factors or delve into human behavior. Because of this, the behaviors of systems or why things happen can be unclear, hard to find, or even counterintuitive or seemingly irrational. Using the evidence-based approach of empirical analysis can help to remove uncertainty in the decision-making process.
Data warehouses and data lakes can create vast amounts of empirical information. By applying empirical analysis methods to this data, new insights can be found. This can include information about customer behavior or business efficiencies. Data analytics falls in this category.
Using A/B testing is a common way to do empirical research on usability. Different users are presented different designs, and See also: data collection, data mining, data cleansing, data curation, data validation, big data, quantitative analyst and field of view.