Our approach to solving information quality problems involves a multi-step process that starts with statistical learning profiling to determine the nature and possible problems a particular dataset may have. The data science service providers team performs information quality checks at every stage of project development using automated tools and manual checks. This is a rigorous process that ensures reliable and correct information on which our analysis and models are based.