Poor data quality doesn’t just frustrate data teams – it slows processes, creates rework, erodes trust and ultimately costs the business time and money. Many organizations try to solve this with dashboards, yet they often end up as diagnostic tools with little impact on day-to-day work.
In this session I’ll take you inside the data quality dashboard we built in Power BI at Daikin Europe that actually drives improvement. We’ll break down how we highlighted what truly matters, made prioritization effortless, and supported cleanup with clear context, ownership and accountability.
You’ll see the design decisions, scoring logic and user experience patterns that encouraged teams to take action, not just observe metrics. I’ll also share the lessons we learned the hard way – working around data model limitations, aligning stakeholders and demonstrating business value.
By the end you’ll understand how a well-designed dashboard can accelerate data quality improvement across the organization and become a true driver of change, not just another report.