Mobile is already changing everything about the way we access information, and we’ve only begun to experience the impact of the smart devices revolution. Mobile analytics is also very different from web product analytics. With a variety of screen sizes, operating systems, and many other features, the “mobile platform” is in fact a multitude of distinct platforms. How do we recognize and even benefit from this richness and heterogeneity to create amazing products our users will love?
Data science for consumer internet products relies on our ability to effectively analyze and understand ubiquitous computing in terms of a holistic product experience, as individuals consume and create data on mobile and desktop devices in their day-to-day lives. I’ll talk about mobile data science challenges — from product development to data-driven decision making.
Yael Garten leads a team of data scientists at LinkedIn that focuses on understanding and increasing growth and engagement of LinkedIn’s 400 million members across mobile and desktop consumer products. Yael is an expert at converting data into actionable product and business insights that impact strategy. Her team partners with product, engineering, design, and marketing to optimize the LinkedIn user experience, creating powerful data-driven products to help LinkedIn’s members be productive and successful. Yael champions data quality at LinkedIn; she has devised organizational best practices for data quality and developed internal data tools to democratize data within the company. Yael also advises companies on informatics methodologies to transform high-throughput data into insights and is a frequent conference speaker. She holds a PhD in biomedical informatics from the Stanford University School of Medicine, where her research focused on information extraction via natural language processing to understand how human genetic variations impact drug response, and an MSc from the Weizmann Institute of Science in Israel.
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