When you treat data as a product you define a set of expectations to deliver data that is documented, tested, secure, and simple to use.
We organize data products into data coves which are curated data marts built using best practices from software engineering.
Data coves ensure you follow a process that is agile, repeatable, and traceable.
We utilize the modern data stack and create simple processes that integrates the fewest tools for the highest impact.
We use dbt as a base and enhance it with proven best practices so teams can work collaboratively and deliver quickly.
Our process integrates tools so that quality assurance and documentation are built in from the start.
Snowflake allows us to scale while masking sensitive information dynamically and making sure production loads don't impact users.
Data Scientists spend too much time manipulating data in silos. Work is duplicated among teams and time is wasted.
The right analytics solution could drive the best decisions when used, so our top priority is delivering a great experience that users love.