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What are three benefits to self-generated data?

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Final answer:

The benefits of self-generated data include nonreactive research, meaning it does not alter subjects' behaviors, enabling data-driven decisions for operational efficiency, and technological advancements leading to better data transmission and new services.

Step-by-step explanation:

Benefits of Self-Generated Data

Self-generated data provides various advantages, enabling more control, relevance, and specificity in research. Here are three benefits:

  1. Nonreactive Research: Self-generated data is beneficial as it does not interfere with subjects' behaviors, allowing for unbiased and accurate data collection. This is particularly important in fields where researchers wish to observe natural behaviors without the subject changing their behavior due to being observed or studied.
  2. Data-Driven Decisions: Access to real-time and historical data allows for informed decision-making. For instance, farmers use self-generated data from GPS, weather monitoring, and previous yield records to make efficient planting and harvesting decisions, maximizing farm production and profitability.
  3. Technological Advancements: The creation and use of self-generated data can lead to improvements in technology, such as faster and cheaper data transmission, as well as the development of new applications such as free internet-based calling and video calling services.

Moreover, self-generated data typically offers free and continuous access, which can be crucial for ongoing analytics and research, impacting planning and prioritization.

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User Roman Karagodin
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