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  2. Remote work - Wikipedia

    en.wikipedia.org/wiki/Remote_work

    Remote work may make it easier for workers to balance their work responsibilities with their personal life and family roles such as caring for children or elderly parents. Remote work improves efficiency by reducing travel time, and reduces commuting time and time stuck in traffic congestion, improving quality of life. [58] [63]

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.

  4. Data entry clerk - Wikipedia

    en.wikipedia.org/wiki/Data_entry_clerk

    A data entry clerk. A data entry clerk, also known as data preparation and control operator, data registration and control operator, and data preparation and registration operator, is a member of staff employed to enter or update data into a computer system. [1] [2] Data is often entered into a computer from paper documents [3] using a keyboard ...

  5. 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.

  6. 50 Professionals Share The Popular Misconceptions People Have ...

    www.aol.com/50-professionals-share-popular...

    1. “You could be an analyst.” or 2. You could be a “consultant.” Myth: There’s a category … and you could have a career doing that … Truth: Example: An analyst is not a useful ...

  7. 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.