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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. 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]

4. 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.

5. User research - Wikipedia

   en.wikipedia.org/wiki/User_Research

   This field of research aims at improving the user experience (UX) of products, services, or processes [3] by incorporating experimental and observational research [4] methods to guide the design, development, and refinement of a product. User research is used to improve a multitude of products like websites, mobile phones, medical devices ...

6. Google Analytics - Wikipedia

   en.wikipedia.org/wiki/Google_Analytics

   Google Analytics 360 includes seven main products: Analytics, Tag Manager, Optimize, Data Studio, Surveys, Attribution, and Audience Center. [37] In October 2017 a new methodology to collect data for Google Analytics was announced, called Global Site Tag, or gTag.js. Its stated purpose was to unify the tagging system to simplify implementation.

7. Data management - Wikipedia

   en.wikipedia.org/wiki/Data_management

   Collecting data from numerous sources and analyzing it using different data analysis tools has its advantages, including overcoming the risk of method bias; using data from different sources and analyzing it using multiple analysis methods guarantees businesses and organizations robust and reliable findings they can use in decision making.