Werner Enterprises Improves Efficiency and Customer Service with Snowflake and SqlDBM

Man, look at you guys like hidden here everywhere. Oh my gosh. Really our key is safety and service to our customers in whatever form that takes.

My name is David Cavanaugh. I'm the Manager of our Data Solutions team at Werner Enterprises. Werner Enterprises is a leading provider of supply chain solutions. We offer asset-based transportation and traditional brokerage logistics. Before Snowflake and SqlDBM it was siloed and very all over the place with different servers and different technologies and people making copies and taking their data wherever.

In Snowflake it's centralized, it's streamlined, it's more efficient, and we're trying to be more intentional with our design so that that way we can really drive the future forward from that platform. We had some legacy platforms that we would use, but nine times out of ten it was too clunky or the integrations weren't there and so we would just wing it. Whereas now, it's sort of that design-first thinking where we're being intentional with how we're structuring everything, using SqlDBM and then with integrations, rapidly pushing that into Snowflake so that we can start to iterate.

With Snowflake you can kind of take and make of it in a lot of different ways what you will, and so what we're doing is taking our data, our tables and our objects, and using SqlDBM to model and design how those look so that that way there's a uniform feel, there's a consistent feel. It's enabling us to have one better partnerships with the business where we're able to sit down with them, have better conversations, ask them what their needs are from a data perspective, and then ultimately, it allows, you know, my team to deliver on those those conversations and those questions and those problems with less investment of time and with less overhead and with less tech debt.

What we're most excited about unlocking is what the future of AI can bring to Werner. We've already started to see these seeds be planted in how it's changing analytics, the way that we're consuming and interacting with our data. In order to power all of that, we have to have our data ready, structured, clean, metadata added, descriptions injected into this process, and that's what SqlDBM on top of Snowflake is unlocking for us in the next few years.

Our first end-to-end native data product. SqlDBM helped facilitate the design and the really the structure of that, and then Snowflake, from a platform perspective, really helps us deliver that.