“The idea is to have AI act more like a proactive collaborator. So instead of just asking questions, business users across functions like finance, marketing, or sales can ask for outcomes. Things like putting together a board-ready forecast, identifying churn risks, generating a report with recommended actions, or digging into supply chain issues,” Kasiviswanathan added.
What’s in it for enterprises?
Analysts say SnowWork could be valuable to enterprises, especially in accelerating operational business decisions and reducing the workload burden on data practitioners, which is often the real cause of delay.
“Every Fortune 500 company we talk to has the same bottleneck. A head of sales wants to understand regional churn patterns, so they file a ticket with the data team. Three weeks later, they get a CSV and a shrug. By then, the decision window has closed, and they’ve already gone with gut instinct. That cycle is broken, and everyone knows it,” said Ashish Chaturvedi, leader of executive research at HFS Research.
