Data quality leadership Soda offers an end-to-end data quality platform that automates detection to resolution with AI, presenting a compelling upsell opportunity to large data-driven enterprises seeking to improve governance and reduce data issues across multiple warehouses.

Collaborative governance Target teams spanning engineering and business by highlighting Soda's ability to manage code in Git for engineers while business users review data contracts in a collaborative interface, enabling cross-functional adoption in organizations prioritizing data trust.

AI efficiency edge Promote the platform’s AI advantage, including 70% fewer false positives versus traditional monitoring, as a key differentiator for customers facing costly data quality incidents and the need for faster, accurate remediation.

Industry use cases Position Soda as a trusted solution for prominent brands (Disney, Nubank, HelloFresh) to accelerate data governance maturity, creating a reference narrative that can help close deals with similar scale and governance requirements.

Security and trust Emphasize the ability to securely isolate and fix bad data within a customer’s own environment at a record level, addressing data residency, privacy, and risk concerns for regulated or governance-heavy sectors.