CASE STUDY
Data Mesh Implementation
CLIENT’s Challenge
Our client, a financial services firm dedicated to helping community members gain access to fair and clear credit, wanted to take advantage of enhancement opportunities in the areas of data product development and data management, including:
- Reducing bottlenecks that were limiting scaling teams
- Enhancing delivery of new and changed data
- Future-proofing data products to adapt and scale with business
- Improving data ownership and governance
- Solutions to find, learn, and become productive with data more efficiently
OUR APPROACH
Impact Makers’ data specialists helped the client:
- Implemented a Data Mesh architecture in Snowflake
- Strengthened data coordination between the growing teams
- Move from centralized to Domain-Driven ownership and architecture
- Establish a data catalog with self-describing datasets, enabling data discovery
- Establish domain data teams with onboarding materials and training
- Build data products with heavy emphasis on data quality
- Establish analytics engineering workflow to enable rapid development and deployment
skills & tech leveraged
Data Governance -Data Management - Data Quality - Data Engineering - Data Profiling - Snowflake - dbt - Great Expectations
THE RESULTS
With Impact Makers’ expert assistance, the client was able to realize:
- 60% reduction of data product lead time
- 600% improvement in time to productivity for data teams
- 100% improvement in work efficiency through development
- 500% increase in dataset curation
- 50% increase in trust in data