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Debug Data Ingestion Errors

Statsig Product Updates
< All updates
1/7/2025

Shubham Singhal

Product Manager, Statsig

Reimagining Console Settings: A Cleaner, Smarter Experience

Our data science team noticed rising support tickets around warehouse data not appearing correctly in Statsig. Investigation revealed most issues stemmed from unclear error feedback and limited self-service capabilities, leading to unnecessary delays and support escalations.

Today, we're launching two key improvements:

Error Visibility: Consolidated error table across all data sources with clear, actionable messages and troubleshooting steps. A single view replaces the previous table-by-table navigation.

Self-Service Resolution: Step-by-step diagnosis flow lets users verify their connection setup and SQL queries, with immediate data re-ingestion once fixed.

These updates aim to help you discover any integration issues with your data warehouse connection and fix those issues without needing to depend on our internal support. We'll continue expanding these capabilities based on your feedback.

Data Ingestions

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OpenAI OpenAI
Brex Brex
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Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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