The Situation: In the course of contemplating a knowledge management IT strategy for pharmaceutical development, a global pharmaceutical company wondered about the quality of its underlying data. Many of its systems had been implemented independently over numerous years and integration would be one key to the knowledge strategy. Mergers and acquisitions resulted in consolidation of data from many different sources. Data standards and governance applied to the systems was limited. Although the business was confident about its data quality, the system owners and IT expressed concern based on several proof-of-concept knowledge projects they had recently undertaken. They agreed that a data quality assessment might highlight systems and data issues that would need to be addressed before moving forward with more extensive knowledge management investments.