ITES-11203 - USA (Jackson, Mississippi) - Data Lake Modernization Project Services - Deadline November 5,2026

(1) Vendor needs to provide data lake modernization project services to the government authority located in Jackson, MS.– Establish a strategic foundation for modern analytics, governance, interoperability, and responsible use of emerging technologies across operational, clinical, educational, and administrative functions.– Develop a future–state strategy, implementation roadmap, and materials for a subsequent implementation– Convert broad modernization objectives into a practical, defensible, and procurement–ready enterprise plan.– Technology neutrality: Evaluate warehouse, lake, lakehouse, data fabric, hybrid, and other appropriate patterns without presupposing the outcome.– AI–enabled decision support: Treat AI, machine learning, natural–language access, forecasting, predictive analytics, and responsible automation as strategic capabilities, not afterthoughts.– People, process, and technology: Define governance, stewardship, operating model, skills, decision rights, and organizational readiness in addition to technical architecture.– Assess data and information storage, movement, accessibility, ownership, and utilization practices.– Assess current integrations, interfaces, interoperability capabilities, and information exchanges.– Evaluate predictive analytics, AI–enabled capabilities, and advanced analytical opportunities.– Document business needs, stakeholders, outcomes, risks, and implementation considerations.– Maintain platform and architecture neutrality throughout the evaluation process.– Assess governance requirements associated with AI–enabled capabilities and analytics.– Develop future innovative data system implementation procurement materials and supporting documentation.– Discovery and a validated assessment of Canopy’s current–state environment, including systems, data sources, interfaces, reports, dashboards, data flows, manual processes, external exchanges, integration gaps, reporting limitations, data quality concerns, organizational capabilities, vendor dependencies, constraints, maturity findings, and risks.– Enterprise reporting, dashboards, analytics, interoperability, information–sharing, predictive–analytics, AI–enabled, and decision–support use cases.– Future–state operating model, governance structure, and workforce plan.(2) All questions must be submitted no later than October 23, 2026.