Trade Coffee moves much faster as a data organization by accomplishing their entire analytics workflow in Hex
Trade Coffee's data team uses Hex to quickly explore data, answer business questions, and share reproducible results across operations, merchandising, and marketing teams.
About Trade Coffee
Trade wants to inspire better brewing, and believes that starts by connecting customers to the best craft roasters.
Outcome
- Faster data exploration, answers, and sharing
- Better collaboration cutting down on errors
- Replaced cumbersome pushing/pulling of files and local notebooks
Scale achieved
- Ad-hoc projects from operations, merchandising, and marketing teams
- Collaboration deeply embedded in analytics workflow
Written by: Matt, Data Scientist, Trade Coffee
A lot of ad-hoc projects come across our desk where there is an ask or problem to be solved from the business, but it’s outside the technical domain for them to do themselves. These requests can come from anywhere across our business — whether that be the operations team, or the merchandising team, or the marketing team.
The quicker my team can explore the data, answer the questions, and share out the results, the faster we can make better decisions.
Before, our analysts would be compiling notebooks, copy-pasting charts, and trying to make them reproducible using Git for analytics storage. Today, we can accomplish much of that workflow in Hex which allows us to move much faster as a data organization.
One of the things I love most about Hex is how deeply embedded the collaboration component is to the tool. It lets our team ask for feedback or work together on something. With Hex, it’s a massive improvement for us versus pushing and pulling files or opening up local notebooks, which is much more cumbersome. This not only helps us to move much faster, but better collaboration helps to cut down on our errors and produce better work.