As the amount of data an enterprise manages continues to grow, an organization must contend with two unique challenges: the sheer volume of that data and the multiple methods used to standardize this information across systems. These challenges often lead to a disparate, disconnected information technology (IT) environment, where the information in any system can operate in an isolated silo, creating multiple “versions of the truth.” In this article, the authors examine how one organization met its data management challenges by analyzing the data it received, creating repeatable routines to improve the quality of that data and implementing controls to maintain high levels of data integrity. Through this combination of process improvement and technology, organizations can establish a more team-based view of data that spans the IT and line-of-business environments – and create a quality-focused data management culture.