The vendor is required to provide customers with data management tools for statewide use, including data management, data governance, data analytics, and data interoperability and integration which will be referred to as “data management tools”.
- Scalability: solution(s) shall ensure scalability for accommodating current and future growth of the state and/or the customer of the service.
- Including handling both increased workloads and expansion across additional devices, users, or systems.
- Reliability: solution(s) shall provide high availability and reliability, with minimal downtime and robust disaster recovery capabilities to ensure the customer’s business continuity.
- User-friendly interface: solution(s) shall provide intuitive and easy-to-use interface for both IT staff and end-users, ensuring that tasks can be performed efficiently.
- Data protection: solution(s) shall ensure data is encrypted both at rest and in transit using industry-standard encryption algorithms.
- The solution(s) shall support hybrid environments, including cloud-based, on premises, and multi-cloud deployments.
- The solution(s) shall include comprehensive staff training and ongoing support.
- Access to applicable comprehensive documentation, user guides, data models, lists of fields and associated descriptions, and online resources for continuous learning and improvement.
- Regular webinars, user community forums, and knowledge-sharing platforms to keep users informed of updates or best practices.
- Data management
• Data store and management: solution(s) should provide data lake house, data lake, data warehouse, data hubs, data storage, data archive/e-discovery, data pipelines, or equivalent.
• Data processing and transformation: solution(s) should use bulk data/batch data, extract, transform, load/extract, load, transform (ETL/ELT), streaming, change data capture (CDC), or equivalent.
• Integration and governance: solution(s) should provide API governance/management, integration governance/management, or equivalent.
• Service orchestration: solution(s) should provide support semantic, interoperability, business rules engine, or equivalent.
• Data domains: solution(s) should provide help to manage data domains for agency data, or equivalent.
• Data integration: solution(s) should be able to ingest, consolidate, transform, and transfer data from its source to destination, or equivalent.
- Data governance
• Data governance policy & sharing agreement management: solution(s) should facilitate the management of data governance policies, compliance tracking, and secure data sharing agreements, or equivalent.
• Data taxonomy: solution(s) should improve the searching and organization of data, or equivalent.
• Data ingestion/transmission monitoring: solution(s) should provide real-time tracking and validation of data as it moves across systems; or equivalent.
• Master data management/reference data management: solution(s) should standardize, consolidate, and maintain data to create a single source across multiple platforms and applications; or equivalent.
• Data marketplace: solution(s) should enable customers to catalog, access, and share data assets internally and externally while maintaining governance and security controls; or equivalent.
• Data quality management/observability: solution(s) should provide real-time data monitoring, validation, and anomaly detection to improve data accuracy, completeness, and reliability; or equivalent.
• Language modeling: solution(s) should provide natural language processing, text analysis, and structured data interpretation, enabling automated decision making and deeper insights; or equivalent.
- Data analytics
• Data science/artificial intelligence/ machine learning/ decision intelligence: solution(s) should support and enable predictive, generative analysis, and deep learning, reinforcement learning or equivalent.
• Model management: solution(s) should provide model management and graph theory; or equivalent.
• Reporting and visualization: the solution(s) should provide comprehensive reporting, interactive dashboards, and data visualizations to support data-driven decision-making.
- Data interoperability and integration
• The solutions(s) enables the ability to exchange and use data across different systems, applications, and organizations to enable seamless integration for the customer.
• The solution(s) enables the ability to provide seamless integration with customer systems, applications, and infrastructures ensuring that the solution can coexist within the customer’s it ecosystems without requiring major overhauls.
• The solution(s) enables the ability to provide augmented services that integrate existing customer systems, applications, and infrastructures detailed in the request for quote that promote interoperability modernization efforts.
• The solution(s) supports syntactic interoperability, semantic interoperability, cross-domain interoperability, or equivalent categories.
- Questions/Inquires Deadline: May 9, 2025