Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The use of data and insights to understand and manage relationships with customers and prospects.
A fictional representation of a user segment, created based on user research to guide design decisions and ensure the product meets the needs of its target audience.
The understanding and proficiency in the principles, practices, and processes of design.
Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects.
Integrated Development Environment (IDE) is a software suite that combines tools like code editors, debuggers, and compilers.
The representation of data through graphical elements like charts, graphs, and maps to facilitate understanding and insights.
A cognitive bias where individuals better remember the most recent information they have encountered, influencing decision-making and memory recall.
A cognitive bias where people judge the likelihood of an event based on its relative size rather than absolute probability.