Survey Data Validation

Although collecting vast amounts of information is part of establishing a representative research population, survey data quality is an equal, if not more important component of research data.

Zarca’s platform intuitively validates the information received within the context of the research question for data assurance.

For example, if a survey question asks for age, and a 35-year-old person accidentally adds a zero to his or her age (i.e. entered 350); the platform will automatically flag this survey data as invalid and prompt the respondent to re-enter.

Data validation is a form of data quality control that ensures your analysis and insights are not skewed.