Customer Case Study
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.
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Datasheet
Alation Data Quality leverages agentic AI and existing data intelligence to establish AI-recommended data quality rules and gauge overall data health across an entire data estate. Offering immediate visibility into the health of an organization’s most critical data assets, data consumers have access to data they can trust is accurate, up-to-date, and fit-for-purpose.
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Datasheet
The Alation Agentic Data Intelligence Platform empowers data teams with AI-driven automation, accelerating data initiatives, ensuring compliance, and delivering trusted data at the speed of business. Alation Agents automate data documentation, quality, and governance, enabling organizations to scale and accelerate the delivery of AI, BI, and compliance initiatives.