Building Data Functions At Poshmark: From KPI Monitoring To Enabling Social Graphs (Poshmark)

Discover how Poshmark, a leading social fashion marketplace, overcame significant data challenges and innovated its data strategy to enhance user experience and operational efficiency. This insightful session, led by Barkha Saxena, Data Chief at Poshmark, shares the journey of building a robust data function within a rapidly growing startup environment.

What You’ll Learn:

Introduction to Poshmark:
- Get acquainted with Poshmark’s mission to connect millions of buyers and sellers in a vibrant shopping experience.
Data Challenges:
- Learn about the unique data challenges faced by Poshmark, including managing high-volume social data, ensuring commerce data accuracy, and dealing with exponential growth.
Evolution of Data Science:
- Understand the strategic approach to data science evolution, from basic insights to complex machine learning models driving real-time decisions.
Building a Data Pipeline:
- See how Poshmark transitioned from relying on external vendors to developing its own ETL pipeline, enhancing data accuracy and processing speed.
Democratizing Data Access:
- Discover the steps taken to make data easily accessible across the organization, empowering teams with self-service analytics.
Event Stream Data Innovation:
- Dive into the development of an event stream data system, from conceptualization to implementation, highlighting the learning curve and the scaling issues encountered.
Real-Time Data Applications:
- Explore innovative use cases of real-time data at Poshmark, including personalized user connections and dynamic web page content, driven by Qubole’s platform.
Future Data Initiatives:
- Learn about Poshmark’s future initiatives, such as automated anomaly detection and scaling data science capabilities, to further leverage big data for business growth.

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