Data Analytics
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability.
A research method that involves forming a theory based on data systematically gathered and analyzed.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven improvement cycle used in Six Sigma.
The error of making decisions based solely on quantitative observations and ignoring all other factors.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific.