IKEA is leading the evolution of customer experience data from traditional dashboards into AI-powered data products that can interpret, surface, and act on insight at scale. Built on multiple data sources including surveys and open text feedback, the challenge is no longer collecting or visualising data, but transforming it into something that can be consumed and trusted in more automated, AI-driven ways.
This speaker dives into the realities of this transition, from inconsistent AI outputs and rising costs to varying levels of adoption across teams. As expectations increase, his focus is on determining where AI genuinely enhances the product, how to maintain quality at scale, and how to move forward without overengineering or overinvesting too early in the maturity curve.
Transitioning from BI-led reporting to AI-powered data products that deliver insight more dynamically
Managing the trade-offs between AI capability, cost, data quality, and user adoption
Evolving data products to remain usable, trusted, and scalable in an increasingly AI-driven landscape