Evgeniya Alekseeva

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.

Data governance promises clarity, trust and better decisions – yet many teams struggle to turn that promise into reality. Too often they start with the wrong battles, involve the wrong people or tackle everything except the problems the business actually has. This session is the talk I wish someone had given me before we started. I’ll share what actually moved the needle: why starting from concrete use cases works better than “let’s cleanse everything”, how reducing your dataset can be a power move, and why investing time and effort in data modelling truly pays off. I’ll also point out the patterns that held us back: endless architecture discussions, lack of IT support, blurry domain boundaries and governance that stopped at the analytics layer while users struggled in operational tools. You’ll leave with clear guidance on where to focus, what to avoid, and how to get people outside the data team involved, so governance becomes something your organization actively uses and benefits from, not just something you describe on paper.

Sustainable data governance requires more than policies and tools - it requires people. In this session I'll share how we built an engaged data community across business domains and dozens of countries. At Daikin Europe we believe that a federated organization - combining centralized policies and principles with decentralized execution - is key to success. You'll hear about the roles within our community, the tactics and touchpoints we use to foster ownership and engage non-data professionals, and the challenges of building a stewardship culture in a multinational environment. Whether you're starting from scratch or scaling your governance efforts, this session will help you turn passive stakeholders into active data allies.