Data interpretation is the study of scientific measurements and observations to develop evidence for responding to a query. The common tools used for data interpretation are electronic spreadsheets which are capable of sorting, graphing and searching data.
Interpreting results is only possible in the proper context. This includes knowing what outcomes one can reasonably expect from implementing a particular intervention based on similar interventions that have been conducted previously.
For instance, when setting up a server training program, it is useful to know that such interventions have in the past helped reduce the incidence of violence in bars.
Therefore, once the intervention is over, if the results are at odds with what others have observed, it is likely that the program was not implemented correctly or that some other problem has occurred.