Sync data from Tableau to Statsig
Connect your data from Tableau to Statsig with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
The world's most innovative companies choose Hightouch as their Composable CDP
Activate your data in 3 easy steps
Use cases
Sync data from Tableau to Statsig
- Define user targeting groups in segments for re-use in Feature Gates and Dynamic Configs
- Log events to help monitor how your product is performing in real-time
- Investigate product usage patterns that can point to further improvements and new product hypotheses from the data in your warehouse
FAQs
There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.
With Hightouch, you get:
- Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
- Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
- Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
- Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
- Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant
90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.
With Hightouch, you can sync data as frequently as it changes within your Tableau. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.
Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your Tableau to fields in Statsig.
Tableau is a leading provider of Business Intelligence (BI) software to create dashboards and visualizations of your data
Statsig converts the events from your experiments and application events to deliver trustworthy results. This data infrastructure is designed to capture the precision and scale that you expect from applications with users from thousands to billions of end-users.