Big Data Analytics
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
The interpretation of historical data to identify trends and patterns.
The use of AI and advanced analytics to divide users into meaningful segments based on behavior and characteristics.
A professional who designs, builds, and maintains systems for processing large-scale data sets.
The origins of visitors to a website, such as search engines, direct visits, social media, and referrals from other sites.
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
An approach to design that relies on data and analytics to inform decisions and measure success.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.