Harnessing Synergy: How Homa Leveraged Deepnote for Collaborative Data Excellence
Challenge
Homa, one of the world’s leading mobile gaming publishers, was in search of a tool to complement and enhance their existing data workflows when they stumbled upon Deepnote. With a data team made up of data experts working both in-site and
remote, Homa particularly needed a way for everyone to be able to query data from their Redshift database and collaborate with minimal set-up.
Deepnote has been a crucial addition to our strong tech stack at Homa. It’s fantastic for harnessing our massive player data on Redshift, helping us fine-tune our games to delight our players. It’s not just helpful, it’s a key player in making our games more enjoyable!
Jules Griaud
Data Analyst
Solution
To address these challenges, Homa turned to Deepnote, a cloud-based Jupyter notebook service. Deepnote’s seamless integration with Redshift allowed the data team to query data directly from their database without any cumbersome setup. This streamlined the onboarding process for new team members, enabling them to quickly dive into complex data analysis tasks.
Deepnote’s features such as DataFrame SQL cells and Chart cells provided flexibility to team members, allowing them to use the tool that best suited their preferences and expertise. Whether they prefer working with Pandas or SQL for data manipulation, or creating visualizations directly within the notebook, Deepnote perfectly accommodates their needs.
Embracing Deepnote at Homa showcases our willingness to adopt innovative tools and solutions. Deepnote AI, in particular, has been a game-changer, offering us cutting-edge capabilities that continually enhance our data workflows.
Khanh Nguyen
Data Scientist
Strategy
Homa’s data team embraced Deepnote as their primary platform for collaborative data analysis and exploration. They utilized Deepnote’s collaborative features to share their findings with other team members and external stakeholders. Data scientists could leave comments on each other’s notebooks, providing feedback on machine learning models, while data analysts shared their analyses for replication and validation by their peers. The rollout of Deepnote AI was the cherry on top for Homa’s productivity needs. The autocomplete feature proved to be remarkably accurate, speeding up coding tasks by accurately predicting code snippets and function parameters. Deepnote AI’s code generation capabilities were especially valuable for generating complex machine learning pipelines and refactoring existing code for significantly improved performance.
Deepnote has seamlessly complemented our internal data expertise, reinforcing Homa’s identity as a data-driven company. It has become a one-stop tool for efficient analysis and collaboration, enabling our team to leverage their skills fully and share insights with ease. I particularly appreciate how, when investigating issues, we now share notebooks instead of the SQL query snippets in Slack that we used to rely on!
Nicolas Neiman
Head of Data
Outcome
Integrating Deepnote to their strong tech stack further empowered Homa’s data team with substantial improvements in efficiency and collaboration across their data teams’ workflows.
They were able to further deliver insights and analysis to business stakeholders in a timely manner, enabling faster decision-making processes. The seamless integration with Redshift and the flexibility of Deepnote’s features empowered team members to focus on data analysis, while saving time on technical setup. As a data-driven company, Homa is continuously exploring new solutions to further improve their data workflows and ways to explore data beyond conventional boundaries, and Deepnote has helped them in this path while also enhancing team collaboration.