MIO is a specialized data consulting firm that has been managing complex data projects across various industries for over 30 years. The skilled team at MIO is adept at transforming large, messy, and/or unstructured datasets into a cohesive master source of accurate data. They possess significant expertise in various analytical techniques, including machine learning clustering, ensuring that the technical infrastructure supports the analysis of multiple datasets with poor data quality. MIO stands out from other data consultants through its dedication to a data-first approach. We conduct comprehensive data quality assessments on all datasets we handle, verifying initial assumptions and expectations about the data. Our experience has shown that this is crucial when dealing with multiple datasets from different organizations, as even slight differences in technology or data governance can complicate the determination of whether data can be considered 'the same' for mapping purposes. Whether a project is large or small, we work iteratively toward the desired outcome to guarantee that the solution truly meets the client's needs, which may differ from their initial expectations. With this methodology, MIO boasts a 23-year history of successfully delivering effective solutions, even in situations where others have struggled.