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Cloud-Hosted Enterprise Data Warehouse Solution

Overview


Data Analytics, AI & Cloud Hosting
Michigan, United StatesPosted about 1 month agoDeadline: May 18th, 2026

Fit Score


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SUMMARY


Michigan seeks a vendor to design, implement, and support a cloud-hosted enterprise data warehouse solution integrating multiple data sources and supporting extensive ETL, reporting, and compatibility requirements.

KEY REQUIREMENTS


BUDGET

Estimate

$5,000,000 – $15,000,000

CONTRACT DURATION


60 months

TIMELINE


Solicitation issue date: March 23rd, 2026

Optional Pre-proposal meeting: March 27th, 2026

Deadline for bidders to submit questions: April 6th, 2026

Anticipated date the State will post answers: April 20th, 2026

Proposal deadline: May 18th, 2026

Anticipated contract begin date: January 27th, 2027

QUESTION DEADLINE


April 6th, 2026

Issuing Agency


Department Of Technology, Management And Budget

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


This RFP seeks a qualified system integrator to design, implement, and support a new cloud-hosted Enterprise Data Warehouse (EDW) solution. The project will utilize cloud platforms such as AWS, GCP, or Azure to handle substantial data volumes—specifically, a production environment of 18TB, development of 15TB, and test of 7TB—with over 480 concurrent connections. The solution must support more than 1,000 interfaces and protocols, including JDBC, ODBC, .NET, REST, and SOAP, and be fully compatible with tools like IBM Infosphere, SAP BO, Power BI, Tableau, Crystal Reports, and OpenText BI Query.

The vendor will be responsible for architectural design and technology selection, integrating data from various sources, and transitioning current ETL, reporting, and application interfaces. Current EDW operations involve ETL frameworks, custom scripts, and tools such as Teradata Utilities, IBM DataStage, and WhereScape, managing a workload of 126,000 load jobs per month, 20TB staged data, and 113 trillion rows. The scope includes secure migration, comprehensive testing, user training, and full project documentation, as well as ongoing post-deployment support and maintenance. Model Cards should be provided to detail training data and intended use of the system.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.

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