According to a recent LinkedIn post from Collate, the company is emphasizing enhanced data quality testing features in its Collate 1.12 release. The post highlights a new Test Library that is described as turning custom SQL queries into reusable templates with dynamic variables and exposing them to business users via a no-code interface.
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The post suggests this capability could reduce reliance on specialized engineering resources for data quality checks and streamline governance workflows across organizations. For investors, this direction may strengthen Collate’s value proposition in the data quality and governance segment, potentially improving customer stickiness and positioning the platform more competitively against both commercial and open-source data tooling providers.
The LinkedIn content also points to administrative control over which tests are enabled organization-wide, indicating a focus on enterprise-scale governance. If effectively executed and adopted, such functionality could support higher-margin, seat-based or feature-tier pricing models and deepen Collate’s appeal to larger data-driven enterprises seeking accessible, standardized quality controls.