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.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
A principle that suggests the simplest explanation is often the correct one, favoring solutions that make the fewest assumptions.
A cognitive bias where people attribute group behavior to the characteristics of the group members rather than the situation.
Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.
A psychological principle where people place higher value on objects or opportunities that are perceived to be limited or rare.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes.