Technical Talks

Data Mesh: Buzzword or the Right Guide Towards a Tactical Recipe to Improve Event-Data Quality?
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- AI & Data Culture
In this talk, Stefania Olafsdóttir, CEO of Avo will address the question "What can data mesh principles bring to event data quality?" Event-based user experience data is critical for product development, go-to-market strategy, and increasingly for building recommendation algorithms and generative AI products. Unfortunately, managing event-data is a drag - the data is messy, control is difficult, bad data quality makes everyone miserable, and tightening up data governance slows everything down. Reactive damage control is expensive and organizations are missing out on insights and revenue. But there's a way out. We've been discussing data mesh for years but until now we haven't framed how to apply data mesh concepts to the complex world of event based data. Despite being a buzzword, it turns out data mesh is a powerful framework for event data quality at scale. How might we turn data mesh principles from concepts into actions? We propose this concrete recipe to unlock domain-oriented ownership with federated governance for event-based data, which means you can finally empower your org to treat data as a product and get the reliable data you need to deliver self-serve data.

Co-Founder & CEO
Stefania Olafsdóttir
Avo
Stefania is a philosopher and mathematician, turned genetics researcher, turned data leader, turned founder. She has been a data practitioner for 15 years. She was the founding data person and became Head of Data Science and Growth Lead at QuizUp (100m users, backed by Sequoia and Tencent). This led her to start Avo to inspire better data cultures so teams could build better user experiences. Avo is a data quality platform that lets enterprises like Moody’s, Fender, IKEA and Wolt guarantee event data quality, upstream.
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