Two years ago, we started Deepnote to build the best data science notebook. We wanted to develop the solution we desperately wanted to use ourselves â

Data science beyond data science teams

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2021-06-26 06:30:04

Two years ago, we started Deepnote to build the best data science notebook. We wanted to develop the solution we desperately wanted to use ourselves — something that would allow us to work in notebooks effectively, in the cloud, with all the bells and whistles we were used to from the software engineering world.

But data science goes beyond data scientists. We’re building not just the best notebook for data science teams. We are building the best notebook for teams working with data.

Today, we’re launching Deepnote for Teams. And going forward, we will be building even more features that allow anyone in any organization (not just data scientists) to have a seat at the table.

When starting Deepnote, our initial focus was to build a notebook that would support data scientists. We allowed them to work together on the same projects at the same time, added all integrations we could think of, embedded code intelligence so that data scientists can use Deepnote like they’d use their favorite IDE, cracked the many challenges around versioning and reproducibility. We believe we have delivered on that initial vision, but to make data endeavors truly successful, a lot more is needed. Data science is as much a scientific and a creative process as an engineering one. It involves failing, learning and going back to the drawing board. It requires a large amount of communication with other teams and stakeholders.

Our next horizon is building a product that is powerful for data scientists, but at the same time, inclusive and accessible enough for everyone else in the organization.

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