Diagramix

Data Analytics Platform x

A Gantt Chart with 5 Phases: Phase 1: Discovery and Planning (1 month) Phase 2: Platform Design and Prototyping (2 months) Phase 3: Development and Testing (3 months) Phase 4: Deployment and Training (1 month) Phase 5: Maintenance and Support (Ongoing) Start Date: August 1 Continuous monitoring and performance tuning of the platform (Weekly) Regular updates and enhancements based on user feedback and emerging requirements (Monthly)

System Message: Phase 1: Duration: January 1 – January 31 Requirements gathering from stakeholders (Week 1–2) System audit of existing data sources and infrastructure (Week 2–3) Define the scope, success metrics, and timeline for the project (Week 3–4) Phase 2:Duration: February 1 – March 31 Design the architecture and data flows (February 1–15) Develop initial prototypes for key components (ETL, analytics engine, visualization) (February 16 – March 15) Review the design with stakeholders for feedback (March 16–31) Phase 3: Duration: April 1 – June 30 Develop and integrate the ETL engine, machine learning capabilities, and data visualization tools (April 1 – May 31) Test data integration, security features, and system performance (June 1–15) Conduct internal testing, including load testing and user acceptance testing (UAT) (June 16–30) Phase 4: Duration: July 1 – July 31 Deploy the platform to the production environment (Week 1–2) Provide training for users on how to use the analytics features, including dashboards, machine learning models, and reporting tools (Week 3–4) Phase 5: Start Date: August 1 Continuous monitoring and performance tuning of the platform (Weekly) Regular updates and enhancements based on user feedback and emerging requirements (Monthly)