While data analytics is often viewed as a highly technical field, one of its most challenging aspects lies in identifying the right questions to ask. Beyond the expected skills of summarizing data, building visualizations, and generating insights, analysts must also bridge the gap between complex data and non-technical stakeholders.

This presentation features a case study led by two women from the Research and Data Analytics team at the Minnesota Department of Labor and Industry. It illustrates the end-to-end process of transforming raw data to create a fully developed dashboard that delivers actionable insights for the department’s Apprenticeship unit.

We will share key challenges encountered along the way, from handling issues of data quality and accessibility to adapting the tool for the differing needs and expectations of new stakeholders. Attendees will leave with actionable strategies for transforming messy datasets into clear, impactful dashboards that drive smarter decision making.