Lean Data
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This talk will focus on how to maximize the output of non-trivial business insights from big data with a lean data team. While it is cheaper and easier to collect and store data, the constraining factors for attaining meaningful insights are manpower and time. This talk will cover how to enable the entire studio to do simple data analysis, freeing up the data team to focus only on high impact research. It will also cover proven tricks that lead to faster results without sacrificing statistical significance.
Pallas Horwitz is the Lead Data Scientist at Mayvenn. Mayvenn is an eCommerce startup specializing in helping hair stylists sell hair extensions without needing to keep inventory on hand. She focuses on marketing analytics, user segmentation, acquisition models, and economy optimization. Pallas believes that her primary role is as a data advocate and that companies benefit from everyone having direct data access. She builds user-friendly data tools that ensure everyone is comfortable performing simple analyses. Prior to Mayvenn, Pallas worked in gaming and led teams at Product Madness and Blue Shell Games.
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