WHOOP Streamlines Data Access to Help Customers Better Understand Their Health

This transcript was automatically generated.

So my name is Matt Luizzi. I'm the director of business analytics at Whoop. Whoop is the human performance company, and our goal is to unlock human performance using advanced wearable devices. We generate all of our own hardware and software and use AI to help coach our members to improve their sleep drain and recovery.

We went from being a multi database company to getting all of our data into Snowflake and, you know, software, product, data science, data engineer are now all using Snowflake. People were just experimenting with it and realizing this is a great product. We should move all of our workloads over. So when we migrated over to Snowflake, just having that instant availability saved us thousands, tens of thousands of dollars, which is very big for a company of our size and scale.

So if we think talk about OpenTable formats now, it just allowed us to very, very quickly get these workloads into Snowflake because we're leveraging Iceberg for all of this. Mainly with Polaris, the team's very excited to get going just because it gives us the flexibility. We have only fourteen people on the data team currently and working with hundreds of terabytes of data, and we want to be able to move quickly as a startup. So what that means is we don't wanna make it hard for people to access data, but we also don't want people to access data that they shouldn't.

So we're actually using, role based access controls to mask certain data fields, specifically member PII, so that we can absolutely just work quickly, but also work in a completely secure environment knowing that none of our members' data will ever leave Snowflake for things that it shouldn't be. Snowflake's AI data cloud will enable us to move new jobs into production way faster and just with so much more use. It's actually pairing extremely well with our internal roadmap to build a chatbot that will allow users to ask natural language questions and get the answers so that the analytics team can focus on really high leverage initiatives and be strategic, proactive, and drive value for the organization.

And we're gonna be leveraging a lot of the new Cortex functionality for that. AI is absolutely the future of data, and accuracy is going to be the final hurdle that we need to climb. So as we talk about governance and security and documentation and cataloging, that's where I think the the majority of our focus will be and where a majority of the industry will quickly figure out that that's the final piece that needs to come together in order to really bring this to life. And, Snowflake has all the tools and natively within one platform making it super easy to build these once we get all the pieces together.