On Tuesday, September 25th, Ohio Data Analytics hosted its second Analytics Day at the Riffe Center and included participation from approximately 250 attendees. Derek Bridges from the Department of Administrative Services (DAS) kicked off the morning, followed by the Keynote Speaker, Kurt Schlegel, Research Vice President at Gartner. Mr. Schlegel discussed how “more precise analytic systems of measurement and classification will change every aspect of the business from the way we personalize the customer experience, allocate resources, manage employees and control finances.”
The presentation followed with a panel discussion including Randy Cole, Executive Director, Ohio Turnpike and Infrastructure Commission; Brian Fowler, Chief Data Officer, Ohio Department of Health; Raivo Murnieks, Chief Data Officer, Ohio Department of Job & Family Services; and Spencer Wood, Interim Assistant Director/State Chief Information Officer, Department of Administrative Services. The conversation highlighted the importance of breaking down barriers across the State of Ohio regarding sharing data, and understanding what is truly an obstacle versus what may have been thought of as an obstacle– agencies have a responsibility to think about solving problems from a data-driven perspective.
The day then transitioned to breakout sessions, the most popular being “ODA Platform Self-Service Data Lifecycle: From Data Source to Visualization in 55 minutes.” Members from the Ohio Data Analytics team shared self-service capabilities on the platform that provide agencies with agility, flexibility, and efficiency for data analysts to conduct ad-hoc data analytics. Other sessions included analytic use cases and opportunities across state government including predicting program effectiveness, eliminating data silos, reducing risk, and behavioral analytics.
Wrapping up Analytics Day the Infant Mortality Rate project team, including Brian Fowler and Sandra Oxley from Ohio Department of Health (ODH), shared results from the project. The presentation highlighted an analytical model called the “G20 model” to predict mothers most likely to benefit from state-interventions based on facts the state knows a priori of a clinical encounter, to target vulnerable moms on the edge of preterm birth/infant mortality. The team outlined the work ahead for reducing preterm birth, reducing sleep-related deaths, and expanding analytics with more data. Lastly, the Opioid Use Disorder (OUD) in the Criminal Justice System project team, including Sandy Starr from Mental Health and Addition Services (MHAS), shared the approach for predicting OUD risk earlier and how to better understand both individual and government costs associated with OUD. There have been 26 data sources from 7 state agencies identified for use in the project, plus 12 additional publically available data sources collected by the analytic vendor selected. The Ohio Data Analytics team thanks all state of Ohio staff and those from the analytics vendor community who attended the event.