Case file β 2CDB5CEC
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The idea
βProblem Title: AI-Powered Self-Service Data Access for Non-Technical Staff Context/Background: In many companies, operational staff (sales, marketing, support) rely on data stored in SQL databases. Accessing this data typically requires writing SQL queries, which most non-technical employees cannot do. As a result, they depend on data analysts or engineers for even simple queries. The Problem: Non-technical employees experience delays (often days) when requesting basic data, creating bottlenecks and slowing decision-making. Data teams become overloaded with repetitive, low-complexity requests.β