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Limitations of the various types of data

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Reference no: EM133166876

Advanced data analytics has relevance in many different business functions. A common topic is satisfaction. Human resources managers will use advanced data analytics to understand employee satisfaction and happiness. Those in management will use advanced data analytics to measure customer satisfaction. Marketers might use data to understand satisfaction with the given value proposition.

Within this backdrop, please provide at least one example of each of the four different types of data and compare/contrast the different types of data with each other. Responses might include topics such as:

  • Limitations of the various types of data
  • Reasons why a given type of data is the best level for specific situation.
  • How one might move a given data type to a different (i.e., ratio to nominal)
  • Statistical tests that could be used with the various data type

Reference no: EM133166876

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