Data Quality Enhancement with Novel Search Technique to Avoid Repetition of Records

Data quality is the assessment of data’s fitness to serve its purpose in a given context. Characteristics of data quality include: Accuracy, Completeness, Update status, Relevance, Reliability, Appropriate presentation, Accessibility. Data quality is the major problem experienced by many data entry operators. Our project reduces the possible errors more effectively by incorporating a novel search technique which will avoid repetition of data. During a survey, our system initially will create forms dynamically and the required questions can be entered. Then, the questions can be automatically re-ordered by setting necessary constraints to the questions. The default entry values can be entered for any question where the data needs to be constant. While entering data during the process of survey, the system will automatically re-ask the data-entry operators to enter the appropriate data. Then the search technique will search for the previous data and show whether the particular data is already in database or not.