The Vendor is required to provide current data environment relies on multiple legacy and operational systems—including Maximo, Oracle Financials, SCADA, CCB, GIS platforms, AMI, billing, customer service, and various cloud and on premises environments—that operate independently with limited integration.
- These conditions create challenges in data quality, reporting, analytics, and enterprise insight generation.
- Strategy & Governance
• Data strategy development and multiyear roadmapping
• Capability maturity assessments
• Organizational design and operating model recommendations
• Data governance framework development
• Data stewardship roles, processes, and policies
• Data quality assessment and improvement planning
• Metadata, cataloging, and master data strategy
• Change management, communication, and readiness assessment
• Executive and stakeholder engagement
• Knowledge transfer and capability building
- Platform & Architecture
• Cloud data platform assessment and selection
• Total cost of ownership analysis
• Integration architecture design
• Data engineering, ETL/ELT, and pipeline development
• System interoperability planning (Maximo, Oracle, SCADA, CCB, GIS, AMI, etc.)
• Proofofconcept development
• Platform implementation planning
• Security, privacy, and compliance alignment
• Documentation and technical knowledge transfer
- Analytics & Insights
• BI strategy and dashboard/report development
• KPI and metric design
• Selfservice analytics enablement
• Data visualization and UX optimization
• Predictive and prescriptive analytics
• Machine learning and AI use case development
• AMI, IoT, and sensor data analytics
• Model validation, monitoring, and MLOps support
• Training and mentoring for agency staff
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