Quest
228 Case Studies
A Quest Case Study
A large U.S. government agency (10,000+ employees) responsible for managing extensive, diverse datasets faced fragmented database designs, inconsistent naming conventions, duplicated data and a disconnect between data modelers and application developers—creating governance, quality and efficiency challenges that slowed development and raised costs.
By adopting erwin Data Modeler the agency centralized data modeling, enforced naming and design standards, automated DDL generation and improved collaboration and version control. The result was stronger governance and compliance, improved data integrity, faster delivery (about 40% time savings per modeler) and significant cost reductions (roughly $194K saved per year for five modelers, about $582K over three years), accelerating their digital transformation.
Large Government Agency