The Marketing Operations Center project was designed to provide a centralized, high-level health monitoring dashboard for the Oracle Eloqua platform. The primary goal was to consolidate fragmented system activity and usage metrics—such as Bulk API syncs, CRM integrations, and lead scoring queues—into a single, intuitive interface. By providing real-time visibility into processing rates and system bottlenecks, the tool enables administrators to proactively identify performance issues before they impact end-user marketing campaigns. From a technical perspective, this project represented a significant shift in the application’s architecture. I implemented the Marketing Operations Center using ASP.NET MVC, which was a departure from the legacy portions of the application that relied on traditional ASPX Web Forms. Introducing the MVC pattern allowed for a cleaner separation of concerns, more maintainable code, and a more responsive front-end experience. This modernization effort served as a proof-of-concept for transitioning the platform toward more contemporary development standards. The user interface is built around a series of interactive tiles, each dedicated to a specific functional area like Email Sends, Form Submissions, or Page Views. Users can view a high-level summary of the last seven days of activity or drill down into detailed graphs to analyze trends, such as the minimum, maximum, and average throughput per hour. These visualizations help organizations understand the value of their site content and the responsiveness of their audiences by correlating system performance with historical benchmarks. In addition to activity tracking, the project focuses heavily on data integrity and integration health. By monitoring the "Oldest in Queue" and "Waiting in Queue" metrics for both Lead Scoring and Native CRM transfers, the dashboard provides a vital early-warning system for synchronization delays. This ensures that data flowing between Eloqua and external CRM systems remains fluid, allowing marketing and sales teams to act on lead data with minimal latency.