North, a payments solution provider processing over $100bn annually, has improved data discovery and governance atop their Snowflake- and Sigma-powered data stack by adopting Atlan as their active metadata platform.
The teams' improvements means they can secure sensitive data, and increase adoption of self-service analytics.
Daniel Dowdy, Vice President of Data Analytics & Governance, is projecting efficiency gains of $1.4m annually and 200% growth in Sigma adoption while mitigating millions of dollars in risk.
North struggled with unchecked and unclear data before moving to the Snowflake- and Sigma-powered modern data stack.
After Snowflake and Sigma, their team introduced Sigma, a business intelligence tool that empowers users to independently access, analyze, and visualize data, offering crucial information in a self-service manner.
North engineers use Atlan to automatically raise issues related to data assets via Jira and Slack. Data consumers benefit from a comprehensive history of all Jira tickets and Slack conversations relating to specific data assets.
By affecting a programmatic approach, North’s governance and security improved almost overnight, ultimately leading to millions of dollars in reduced risks.
With its built-in insights, Atlan has enabled the North team to estimate an annual cost savings of more than $20,000 by deprecating more than 10,000 unused assets and inefficient queries.
The North team is projecting efficiency gains of $1.4m annually and 200% growth in Sigma adoption while mitigating millions of dollars in risk with Atlan.
By using AI to simplify complex queries into natural language, North aims to use Atlan to accelerate the enrichment of its data assets in the months and years to come.