The impact of query precision on returned data precision criterion

Data quality continues to be a challenge for many organizations as they look to improve efficiency and customer satisfaction. Most of companies suffer from common data errors. The most common data errors are incomplete or missing data, outdated information and inaccurate data. Although data quality has been defined as fitness for use, models of information quality assessment have thus far tended to ignore the impact of contextual quality on information use and decision outcomes. Contextual assessments can be as important as objective quality criterion because they can affect which information gets used for decision making tasks. Given that, this research focuses on the precision criterion, since Highly precise data can be very critical in several fields and if this dimension of quality is not taken into account, it could cause crucial damages. In This article, we have hypothesized that data returned via an information system can only be precise if it is the result of a specific request from the system final user. For this purpose, we proposed a new function to evaluate the quality of a query, based on this, we developed a tool implementing this function and we experimented to calculate different query's precisions to valid our contribution.