Quality data allow programs to provide context and meaning to research, evaluation, and accountability efforts and provides evidence to evaluate and demonstrate the effectiveness of programs. Data integration, the process of taking data from disparate systems, combining them, and transforming them into something meaningful, can increase data quality. However, the process of integrating data systems is not without its challenges. By starting small and taking advantage of tools that are available, it is manageable. Data integration is a multi-step process with many tasks in each step. This brief will provide state education agencies (SEAs) with a process for using the Common Education Data Standards (CEDS) tools to identify what data they collect and where the data are stored, conduct a map analysis, and ensure that elements appearing across the data systems are defined the same. This process is a critical step for integrating disparate data systems and realizing the data quality benefits of integrated data.