Data Modernization Service
Location:
Minneapolis, Minnesota, United States
Posted on:
Deadline:
Summary:
RFI for migration of on-premises data infrastructure to a cloud environment with modern data platform, AI/ML, and data quality controls for Minneapolis, MN.
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The government authority in Minneapolis, MN is seeking information from qualified vendors regarding data modernization services. This initiative focuses on migrating existing on-premises data tooling and infrastructure to a cloud-based environment utilizing a modern data platform. Vendors are expected to present a variety of solution options and demonstrate expertise in platform implementation, with emphasis on near-real-time ingestion technologies to support advanced reporting needs.
Key requirements include the development of robust, automated data pipelines and orchestration for efficient data collection and storage. Solutions should offer durable, highly available, secure, and scalable managed storage, with strong integration capabilities for platform tools and encryption for data both at rest and in transit. Data ingestion pipelines must accommodate structured, semi-structured, API, and near-real-time sources, while incorporating intelligent platforms that leverage modern technologies such as AI and machine learning.
Additional expectations include the implementation of data quality rules at early supply chain stages, comprehensive data cleansing controls, and Master Data Management (MDM) to ensure ongoing data integrity. The environment should support development, testing, and production throughout the data lifecycle. Machine learning algorithms for data grouping and classification, AI-powered cognitive search, and secure, role-based access with SSO integration are critical features. Vendors are invited to submit questions regarding this opportunity by December 22, 2025.
