84.51 Personalizes Shopper Experiences and Processes Trillions of Data Rows with Snowflake

Our data represents nearly half of the households across America, and that equates to billions of transactions every single year. To have that much data at our disposal, that's a privilege, as well as the responsibility that responsibility is to use it for good. My name's Patrick Kelly, VP of product management. 80 four, 51 84 51 is a retail data science insights and media company.

Our mission is simple making people's lives easier. Nick Hamilton, our lead, our enterprise capabilities group at 84.51. When we looked at snowflake, the challenge in front of us was we had to process a ton of data in order to make that data accessible by our CPG customers, and we had a process over 135 trillion rows in order to do that. Well, let me put that on prem stack.

It failed when we worked with other customers, we had to break it into tons of pieces, even to get the data to work with snowflake, we were able to process it in just three hours. The role of data science within the CPG industry and the retail is one that's ever evolving, and the momentum and the acceleration of data science right now is unprecedented. Prior to launching the collaborative cloud, we pilot it, and as a pilot user, we really got to experience the power of data collaboration firsthand and an unprecedented scale snowflake technology enabled us to have a secure and easy, simple data collaboration experience.

It unlock new experiences, new value and new science. It's a simple concept, but it's truly revolutionary in terms of the impact that we can have as we bring our best assets together. In order to create better customer experiences, it enables us to not just keep up, but to lead the experience that consumers are having both in-store and online. We're looking for a clean and safe place to operate a clean room.

Our clients want to bring their data and merge it with our data. Obviously, both of our companies want that to be in a safe and protected way. We're looking for how to give us the capability in order to do that. The future of data collaboration is about bringing together leading technology capabilities under a unified experience.

Every company is doing the best they can with the data they have in-house. For snowflake, it's about connecting our data with other companies data to create richer insights and knowledge about customers than ever before. That could be something as simple as updating supply chain forecasts, or something as complex as creating personalized experiences for every single shopper as they go online so that they not only have the best experience, but brands that they love show up. They get the right price endpoint and the right promotion.

So when I think about trust and transparency at the end of the day, we're doing it for the right reasons for them. It's always about how do we use this data to improve their lives, which is essentially how do we customers better than anyone else? What excites me about Snowflake vision and roadmap is that our clients see the benefits of Snowflake innovation as it progresses. We've actually seen the snowflake beat timelines and put really important capabilities for 84.51

into the Snowflake data cloud faster than expected. It feels like we have an entire another development department, building new capabilities and exploring and innovating on the cutting edge of what it means to build new science. The snowflake retail data cloud is enabling 84.51 to easily and securely share data and science with our clients and partners so that we can build winning strategies for Kroger, for our brands and ultimately for the end consumer.