Abstract: A data migration technique presumes a schema suitable for combining disparate data sources in a business environment. This presumptive approach to data migration permits the development of rules and libraries specifically adapted to move data from various sources into the schema, and advantageously permits formal realization of experience that has been developed over years of work in translating various data sets to the schema. As a result, data migration can become highly automated, and the timeline for migration can be reduced from months to days or hours. This approach also permits the creation of universal analytical business tools that operate from the fixed, presumptive schema.