Data Driven Health

Mathematica is a trusted partner in helping clients navigate the rapidly evolving digital landscape. Our distinctive approach to improving, using, and transforming data allows our partners to process large data sets quickly and use those data to make informed decisions.

Reliable Analytics Requires a Cycle of Continual Data Improvement

GET: Our data acquisition, extract, transform, and load (ETL), and data architect experts combine data captured and created in MMIS modules, electronic health records, public health data sources, and community support services.

ASSESS: High quality data is the cornerstone of an effective analytics platform. Our team of experts applies data quality checks to determine whether your data is fit for use. Mathematica’s market-leading data quality solutions like Imersis produce actionable evaluations of Medicaid claims and administrative data.

IMPROVE: Closing the loop on data quality challenges requires a collaboration between data stewards who generate and manage data sources and data users. Mathematica’s data science team can help you turn actionable data quality assessments into high-quality data.

TRANSFORM: Mathematica’s data scientists and system architects link data sets, store data in data marts, and build analytic files for end-users.

USE: Mathematica’s experts partner with state agencies to apply rigorous analytical tools, data visualization, and policy-informed interpretation so policymakers can fully harness the power of their data for public good.