This case study shows how data systems can be combined to identify educational risk factors and then develop and implement solutions for addressing them. It shares a detailed account of strategies -- made possible through data systems developed by the Poverty Center -- that various stakeholders utilized to protect children in Cleveland from lead exposure and its damaging effects on school readiness. The information presented is geared toward researchers and leaders who are interested in learning about the practical application of linked data.