Data Analytics Platform

The Vendor is required to provide data analytics platform (DAP) solution will be a scalable, cloud-based platform that enables faster, data-driven decisions.
- It will replace legacy systems with modular, secure, and automated solutions.
- The solution to use the following technology elements as the foundation of the solution:
• Cloud hosting and infrastructure services.
• Enterprise data warehouse and governed data sharing platform for business and technical users.
• Business intelligence and visualization layer supporting AI-assisted analytics and self-service dashboards.
• Primary programming languages such as python, pyspark, and SQL, or similar for data engineering, transformation, and analytics.
• The solution will use existing state procured SAS eg desktop licenses or set up vendor procured SAS licenses initially to integrate and connect with the data warehouse for transition continuity, with a planned phased retirement as workloads migrate to the new programming languages such as python, pyspark, and SQL.
• Version control, CI/CD automation, and devops pipeline orchestration.
• Infrastructure as code (IAC) implementation.
- Solution development activities
• The development of the solution is expected to be executed in distinct phases, beginning with initiation and planning activities such as workgroup kick-off, stakeholder engagement, and development of a comprehensive project plan with finalized milestones and deliverables.
• Subsequent phases will include design, development, and configuration of the solution, as well as data, code, and report migrations, using an agile or similar methodology.
• Testing phases will encompass system integration, user acceptance, and end-to-end validations, ensuring performance, security, and compliance with regulatory standards.
• The project will culminate in go-live deployment, operational transition, and post-implementation support, with ongoing operations and maintenance activities to address enhancements, change requests, and system updates.