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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analysts may apply a variety of techniques, referred to as exploratory data analysis, to begin understanding the messages contained within the obtained data. [30] The process of data exploration may result in additional data cleaning or additional requests for data; thus, the initialization of the iterative phases mentioned in the lead ...

  3. Chief analytics officer - Wikipedia

    en.wikipedia.org/wiki/Chief_analytics_officer

    Chief analytics officer (CAO) is a job title for the senior manager responsible for the analysis of data within an organization, such as a listed company or an educational institution. The CAO often reports to the chief executive officer .

  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. Analyst - Wikipedia

    en.wikipedia.org/wiki/Analyst

    Data analyst, retrieves, organizes and analyzes information from various sources to help an organization achieve business goals; Financial analyst, analyzes securities and business equity in economics and finance; Industry analyst, performs market research on segments of industries to identify trends in business and finance

  6. Data steward responsibilities - Wikipedia

    en.wikipedia.org/wiki/Data_steward

    A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data. [1] A data steward would also participate in the development and implementation of data assets.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [37] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational

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