According to a recent LinkedIn post from phData, the company is highlighting a customer engagement in which it used Cortex Code to translate more than 200 measures significantly faster than traditional methods. The post indicates that the work was completed 2–3 times faster within an eight-week window, suggesting potential efficiency gains in phData’s delivery model.
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The LinkedIn post describes how a large restaurant chain’s sales and finance teams historically spent hours digging through reports to answer basic questions. phData’s team reportedly built a “talk-to-your-data” sales assistant on Snowflake, enabling natural-language queries that return what is characterized as trustworthy answers.
The post also notes that phData will be present at Snowflake Summit and invites interested parties to discuss similar applications for their own data. For investors, this emphasis on enterprise AI assistants, Snowflake-based solutions, and rapid measure translation may signal growing demand for phData’s data engineering and analytics services, as well as a closer alignment with Snowflake’s ecosystem, which could support future project volume and client acquisition.