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Signal Over Noise: Elevating Data Quality to Unlock Customer-Centric Growth
James Topping
Data Analytics Manager
Uber Eats handles millions of daily orders across Europe—but behind every delivery lies a mountain of data. While the volume is massive, the real value comes from identifying the right signals within that noise.
In this session, we’ll explore how data quality acts as a foundation for creating differentiated, personalized experiences that boost retention and revenue. Drawing from the Uber Eats support ecosystem, we’ll uncover how to separate the meaningful from the misleading, avoid common pitfalls, and lay the groundwork for scalable, customer-first strategies.
Whether you're wrangling data pipelines or shaping product decisions, you’ll walk away with a clearer lens on what “quality” really means—and how to harness it to make smarter, faster, and more impactful decisions.
Uber Eats handles millions of daily orders across Europe—but behind every delivery lies a mountain of data. While the volume is massive, the real value comes from identifying the right signals within that noise.
In this session, we’ll explore how data quality acts as a foundation for creating differentiated, personalized experiences that boost retention and revenue. Drawing from the Uber Eats support ecosystem, we’ll uncover how to separate the meaningful from the misleading, avoid common pitfalls, and lay the groundwork for scalable, customer-first strategies.
Whether you're wrangling data pipelines or shaping product decisions, you’ll walk away with a clearer lens on what “quality” really means—and how to harness it to make smarter, faster, and more impactful decisions.
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