To address fragmented and low-quality lead data, we focused on centralizing multiple sources into a unified database. Automating real-time lead validation using configurable business rules was critical to improving accuracy and reducing manual effort. By implementing anomaly and pattern detection, we aimed to continuously enhance lead quality and prevent bad leads from reaching sales teams. This strategic approach supports scalable, data-driven lead management and boosts conversion efficiency.