Processed data is only useful to a user if it is relevant.
Processing data involves transforming raw data into a more usable format, such as creating graphs, tables, or summaries. This process helps to organize the data and make it easier to understand. However, even with this processing, data may not be useful unless it is relevant to the user's needs.
Relevance refers to whether the processed data provides information that is meaningful and useful to the user. For example, if a user is trying to understand the performance of a particular product, then processed data that shows the sales figures for that product would be relevant. However, if the processed data only shows sales figures for unrelated products, then it would not be useful to the user.
In summary, processed data is only useful if it is relevant to the user's needs. This means that the processed data must provide information that is meaningful and useful to the user, helping them to make informed decisions or take appropriate actions based on the data.