Thin Data
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
An approach to design that relies on data and analytics to inform decisions and measure success.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
Data points that represent an individual's, team's, or company's performance in the sales process.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame.
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.