Predictive Analytics
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
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.
Data points that represent an individual's, team's, or company's performance in the sales process.
Recency, Frequency, Monetary (RFM) analysis is a marketing technique used to evaluate and segment customers based on their purchasing behavior.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
The use of AI and advanced analytics to divide users into meaningful segments based on behavior and characteristics.
A statistical phenomenon where two independent events appear to be correlated due to a selection bias.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.