Customer Case Study
On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo
Download the report
This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.
Download now!
Related Resources
Whitepaper
Scaling a Data Product Operating Model: A Comprehensive Guide
As enterprises strive to unlock value from their data, the challenge has shifted from data access to action. Disconnected systems, siloed operations, and outdated governance models have left leaders asking: How do we build trust and deliver business-ready insights at scale?
Download
Whitepaper
Data Quality in the Agentic AI Era
As AI utility increases, organizations are rethinking how they monitor and maintain data quality at scale to deliver trusted data for confident decisions. But traditional approaches often fall short—failing to keep up with chaos of data sprawl, silos, and ever-growing business demand.
Download
Webinar On-Demand
Redefining Data Quality: Smarter Monitoring with Alation’s Agentic AI
Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.
Watch now