Data Quality Assessment and Improvement │ Data Science

Valid data supporting robust and innovative analysis

Ensuring the quality of data is a critical step in data analysis. Our data scientists are proficient in reviewing primary data sources and determining whether they can be validated, supplemented, or replaced by existing administrative records. Additionally, our data governance experts examine and improve organizational processes that enhance the creation, transformation, and use of data for analytical purposes.

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Christina Jones
Principal Researcher