Due to the data privacy laws inured recently, data minimization is a highly topical issue. So far, many companies have collected and processed a vast amount of personal data while treating data privacy negligently. They now need to narrow down collection and processing, but do not know, which data is essential for transacting their businesses. To overcome these problems, we propose query-driven data minimization. Our approach grants user-specific access to database schemas based on SQL reports and supports deletion of unneeded schema elements. In this paper, we outline the schema of a query repository for managing query meta-information. We introduce a user story emphasizing the benefits of our approach for query-driven data minimization and we sketch the basic architecture of a framework implementing our approach.