When coupled with best practices for operational data governance, the synergy of data integration, master data management, and data quality enhances the utilization of data from across the organization and benefits all data consumers. As you consider data integration, data quality, or master data management, recall that the success of each individual set of methods and techniques is greatly enhanced when supported by the others. The stage for successful data repurposing can be set early on in the process by taking some immediate, concrete steps:

1. Know your data consumers and assess their needs – Knowing that the range of data consumers for any data set goes beyond the originating business application users, identify the community of data consumers and make sure that there are well-defined processes in place for solicitingand documenting their requirements for availability, visibility, and quality and ensuring those requirements are engineered into the application infrastructure.  
2. Clarify roles and accountability for data management – Since the context of information expands beyond the originating application, the roles, responsibilities, and accountabilities associated with data stewardship must be clearly defined to ensure that each business application owner is charged with guaranteeing that all alternate data consumer needs are met.  
3. Assess and inventory existing methods and tools – Take an objective inventory of all the technology and tools available within the organization for any of the three fundamental techniques to determine whether their capabilities satisfy the directives for enterprise utilization as suggested in this paper.
4. Harmonize semantics when possible – Establish procedures for analyzing semantics to recognize and harmonize business terms, data elements, and concept domains that share the same underlying meaning.
5. Differentiate when necessary – At the same time, note when similarly named business terms, data elements, and concept domains do not share meanings and ensure that those are effectively differentiated before they are inadvertently combined in an inconsistent way.
6. Take the long view on technology acquisition – Whenever opportunities for improving data utilization arise, keep these three fundamental techniques in mind as the organization frames its business needs assessment and defining of functional requirements for technology procurement.