Just as projects can be developed in silos, data systems are often designed narrowly as part of a particular workforce development program or service. Integrated data systems that combine, for example, education, training, employment, and earnings data can be established across private and public sector agencies through data sharing agreements that have multiple benefits. Integrated data systems bring together more information for public officials and organization leaders to make better judgements about what programs are working or not working or which neighborhoods have high levels of underemployment or unemployment and where additional education, training, and support might be focused. The data systems can be mined to provide insights about local phenomena, such as addressing work-related transportation needs of unemployed workers or determining how effective different programs are in meeting the needs of different populations to gain credentials, be hired, or provide effective services. And these integrated data systems are usually more flexible and adaptive and better able to support tools, services, and processes as they change over time.