How Webflow enhanced exploratory analysis & data collaboration with Deepnote
Webflow wanted to harness the power of its data to drive more value for the company and its customers.
After implementing Snowflake as its data warehouse, the company needed a way to help its data team easily explore data and collaborate on projects, as well as provide greater visibility to company leaders and cross-functional partners.
With Deepnote — and its native integration with Snowflake as a Snowflake Select Technology Partner — Webflow can quickly explore, collaborate on, and share data across the entire company.
Webflow’s data team uses Deepnote to code together in real time, as well as organize different projects, notebooks, and apps in dedicated workspaces. Team members are able to use whichever programming language they’re most comfortable with, including Python, SQL, R, Julia, and more.
Deepnote’s collaborative, time-saving features — including commenting, autocomplete, and scheduling — allow the team to quickly run statistics to help inform decision-making, prototype experiments for various business stakeholders, and share important metrics with domain experts, who can then easily manipulate the data to suit their needs.
With the ability to share projects with a link — and include context in the form of code, charts, text, and more — Webflow brings stakeholders from across the company into the exploratory data analysis phase to help them gain a deeper understanding of the company’s data and speed up necessary buy-in.
Webflow can now make the most of its data warehouse by enabling teams to easily work together and share their findings with each other. This helps the company’s data professionals experiment and troubleshoot, as well as quickly find and view each other's work. Increased collaboration and visibility among both data experts and business stakeholders help to de-risk ideas, support critical investment in projects, and reduce time to market.