Big Data
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
A mode of thinking, derived from Dual Process Theory, that is slow, deliberate, and analytical, requiring more cognitive effort and conscious reasoning.
A recommendation system technique that makes predictions about user interests based on preferences from many users.
A data visualization technique that shows the intensity of data points with varying colors, often used to represent user interactions on a website.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information.
The process of collecting, analyzing, and reporting aggregate data about which pages a website visitor visits and in what order.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.
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.