True data visibility in the lakehouse fuels better decision making We knew we needed to migrate from our legacy data warehouse environment to a data analytics platform that would unify our data and make it easily accessible for quick analysis to improve supply chain operations, forecast demand, and, most importantly, keep up with our growing customer base. Our data team also struggled to deliver reports and accurate insights in a timely manner. With such intricate processes at our foundation, and so much data feeding in from different sources - from email systems to our website - the data team here at ButcherBox quickly discovered that data silos were a significant problem and blocked complete visibility into critical insights needed to make strategic and marketing decisions. But peel back the curtain, and you’ll find that the day-to-day demands on the team in charge of a monthly subscription-based model is a lot trickier than it seems.Īs a young e-commerce company, ButcherBox has to be nimble as our customers' needs change, which means we’re constantly considering behavioral patterns, distribution center efficiency, a growing list of marketing and communication channels, order processing systems- the list goes on. This is a guest authored post by Jake Stone, Senior Manager, Business Analytics at ButcherBox The impact of a legacy data warehouse on business speed and agilityįrom the outside, the ButcherBox concept is simple – subscribe to our service and each month, receive a shipment of fresh meat and seafood that checks all the boxes: organic, grass-fed, free-range, crate-free, wild-caught, etc.

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