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  2. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  3. Online content analysis - Wikipedia

    en.wikipedia.org/wiki/Online_content_analysis

    Online content analysis or online textual analysis refers to a collection of research techniques used to describe and make inferences about online material through systematic coding and interpretation. Online content analysis is a form of content analysis for analysis of Internet-based communication.

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  5. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  6. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    Google Analytics is a web analytics service offered by Google that tracks and reports website traffic and also mobile app traffic and events, currently as a platform inside the Google Marketing Platform brand. [3]

  7. Behavioral analytics - Wikipedia

    en.wikipedia.org/wiki/Behavioral_analytics

    Behavioral analysis allows future actions and trends to be predicted based on the collection of such data. Since the analysis requires collection and aggregation of large amounts of personal data, including highly sensitive one (such as sexual orientation or sexual preferences, health issues, location) which is then traded between hundreds of ...

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