September 11, 2025: Deliver pilot/draft dashboard environment for OWC approval. October 2025: Thoroughly test the dashboard to ensure its functionality, accuracy, and responsiveness.1. Architecture & Frameworks: Describe the overall system architecture including front-end frameworks (e.g., React, Angular), back-end microservices (using containerization technologies like Docker/Kubernetes), and the data storage solutions (e.g., cloud-based data warehouse). 2. Data Integration & ETL Processes: Detail the mechanisms for data ingestion, transformation, and loading, including real-time data updates where applicable. Specify how ETL processes will be designed following best practices (e.g., referencing DAMA-DMBOK). 3. API Integration & Standards: Outline the API strategy, ensuring the dashboard exposes secure, standard APIs (RESTful or GraphQL) with comprehensive documentation (using OpenAPI specifications) for integration with external systems. 4. Interactive Visualizations & Reporting: Define the types of visualizations (e.g., interactive maps, charts, graphs) to be provided, ensuring they meet accessibility standards (WCAG 2.1) and are optimized for performance and usability. 5. Scalability & Performance: Explain how the solution w..ll scale (both horizontally and vertically) and include performance benchmarks (e.g., load times, response times under concurrent usage). November 2025: Deliver Phase 1 user guides and stakeholder training sessions December 2025: • Deliver completed Phase 1 fully functional data platform with live, operational dashboards to OWC • Present Phase 2 data platform structure plan incorporating predictive AI January 2026 – March 2026: • Phase 2 stakeholder feedback sessions • Create and test AI integrations with phase 1 data.
