Data Modernization and Analytics Consulting Services

The Vendor is required to provide data modernization and analytics consulting services for include:
1. Data platform assessment and selection
•    Discovery and requirements analysis for data platform needs
•    Evaluation of cloud data platforms
•    Total cost of ownership analysis including licensing, infrastructure, staffing, and migration
•    Platform capability assessment for data integration, governance, analytics, and scalability
•    Risk assessment and mitigation strategy development
•    Platform recommendation with implementation roadmap
•    Vendor demonstration coordination and proof-of-concept support
•    Knowledge transfer and documentation
2. Strategic planning and organizational road mapping
•    Current state assessment of data capabilities and maturity
•    Development of data strategy aligned with strategic business plan
•    Multi-year roadmap development with phased implementation approach
•    Capability maturity modeling and target state definition
•    Organizational design recommendations (centralized vs. federated models)
•    Resource planning and skills gap analysis
•    Strategic alignment with it and citywide initiatives
•    Executive communication and stakeholder engagement
3. Program and project management
•    Program and project management for data modernization initiatives
•    Project planning, scheduling, and resource allocation
•    Budget tracking, forecasting, and financial management
•    Risk and issue identification, tracking, and mitigation
•    Stakeholder communication and status reporting
•    Portfolio dashboard development and maintenance
•    Project controls and administration support
•    Vendor and contractor management
•    Agile and traditional project methodology expertise
4. Business intelligence and analytics
•    Business intelligence strategy and architecture design
•    Dashboard and report development (power bi, tableau, or similar)
•    Data visualization design and user experience optimization
•    Development of strategic and operational metrics and KPIs
•    Self-service analytics enablement and training
•    Data source integration and ETL and ELT development
•    Documentation including data dictionaries, data lineage, and technical specifications
•    User acceptance testing facilitation
•    Bi tool evaluation and selection support
5. Data science and advanced analytics
•    Predictive and prescriptive analytics model development
•    Machine learning and AI solution design and implementation
•    Statistical analysis and hypothesis testing
•    Asset failure prediction and maintenance optimization
•    Demand forecasting and capacity planning models
•    Customer analytics and segmentation
•    Operational efficiency analysis and optimization
•    Model validation, testing, and performance monitoring
•    Data science methodology and best practices training
•    Ml ops and model deployment support
6. Data governance and data management
•    Data governance framework and operating model development
•    Data governance tool evaluation and implementation
•    Data quality assessment, monitoring, and improvement programs
•    Data modeling and design (conceptual, logical, physical)
•    Master data management and reference data strategy
•    Metadata management and data cataloging
•    Data security and privacy compliance
•    Data stewardship roles and responsibilities definition
•    Data lineage and impact analysis
•    Data retention and archival policies
•    Data governance training and awareness programs
7. Business analysis and requirements management
•    Stakeholder needs assessment and requirements gathering
•    Business process mapping and analysis
•    Use case and user story development
•    Functional and technical requirements documentation
•    Business capability mapping and gap analysis
•    Data workflow and technical workflow definition
•    Alternative analysis and solution evaluation
•    Fit and gap analysis for platform and tool selection
•    Requirements traceability and change management
•    User acceptance criteria development
•    Collaboration with development teams and quality assurance
8. Organizational change management
•    Change management strategy and plan development
•    Stakeholder analysis and engagement planning
•    Change impact assessment and readiness evaluation
•    Communication strategy and plan development
•    Training strategy, curriculum development, and delivery
•    Sponsorship and leadership alignment
•    Resistance management and mitigation
•    User adoption metrics and success criteria definition
•    Business readiness assessment and go-live support
•    Post-implementation support and reinforcement.

- Budget: $2,500,000 to $3,000,000