Problem

At Storyblocks, we had a problem with data observability, discovery, and governance. Our analysts and engineers worked on multiple data projects that were either experimental or business-oriented. When analysts built models or queries that could help others achieve their needs, there was no space to share these new ideas. This lack of sharing knowledge led to wasted time and duplicated efforts.

To solve this problem, we needed to create a centralized hub or repository for tracking analytical best practices and sharing a space for showcasing work. With this centralized application, analysts could adopt new models their peers created and adhere to best practices on new standards we prioritize as a team for creating queries, reporting metrics, and writing documentation.

Learn more about our solution here.

Solution

We launched diversity, equity, and inclusion (DEI) initiatives aimed at improving data observability, discovery, and governance to democratize data for technical and cross-functional business teams. The goal was to increase adoption of models by 10%. We created a centralized hub or repository for tracking analytical best practices and sharing a space for showcasing work.

The centralized application allowed analysts to adopt new models their peers created and adhere to best practices on new standards we prioritize as a team for creating queries, reporting metrics, and writing documentation. This helped us spread knowledge across the organization while saving time by avoiding duplicated efforts.

Impact

Increased adoption of models by X%
Improved data observability, discovery, and governance
Democratized data for technical and cross-functional business teams

"Quote of how incredible of an impact this had."

Team

Team Member #1 - Data Analyst
- Built the centralized hub or repository for tracking analytical best practices and sharing a space for showcasing work.
- Collaborated with engineers to ensure the application was user-friendly and met the needs of analysts across the organization.
Team Member #2 - Software Engineer
- Oversaw the creation and implementation of the platform.
- Made sure that the platform was scalable, secure, and easy to maintain.

Centralized Hub Boosts Data Model Adoption