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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]

  3. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Traffic analysis of Wikipedia. Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2]

  4. Analysis - Wikipedia

    en.wikipedia.org/wiki/Analysis

    Analysis (pl.: analyses) is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development.

  5. Systems analysis - Wikipedia

    en.wikipedia.org/wiki/Systems_analysis

    Decision analysis: making a final decision; Use cases are widely used system analysis modeling tools for identifying and expressing the functional requirements of a system. Each use case is a business scenario or event for which the system must provide a defined response. Use cases evolved from the object-oriented analysis.

  6. Static program analysis - Wikipedia

    en.wikipedia.org/wiki/Static_program_analysis

    The term is usually applied to analysis performed by an automated tool, with human analysis typically being called "program understanding", program comprehension, or code review. In the last of these, software inspection and software walkthroughs are also used.

  7. Software analytics - Wikipedia

    en.wikipedia.org/wiki/Software_analytics

    Automated analysis, massive data, and systematic reasoning support decision-making at almost all levels. In general, key technologies employed by software analytics include analytical technologies such as machine learning, data mining, statistics, pattern recognition, information visualization as well as large-scale data computing & processing.

  8. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  9. 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.