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Connecticut East Hartford Public Schools·Connecticut

1912-27 (RFP) Data Warehousing and Analytics

Closes 10/16/2026$250k – $750kRequest for Proposal
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Description

East Hartford Public Schools (EHPS) is soliciting qualified data‑warehouse firms to design, build, and configure a hosted, single‑source data warehouse that will support comparative and predictive analytics for the district. The vendor will be responsible for architecture design, implementation of ETL processes, data modeling, security configuration, and ongoing support/maintenance of the platform. The solution must be cloud‑based, scalable, and able to integrate with existing school information systems. • Scope includes requirements gathering, system design, cloud hosting setup, data migration, and user training. • Deliverables: functional data warehouse, documentation, SLA for support, and knowledge‑transfer workshops. • Required expertise: data‑warehouse architecture, cloud services (e.g., AWS, Azure, GCP), ETL tooling, and analytics reporting. • Project timeline expected to span several months with milestones for design, build, test, and deployment. • Vendor must be able to provide ongoing maintenance and support after go‑live.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Benjamin Brown

[email protected]

(860) 622-5150

Key dates

Opened
9/25/2026
Closes
10/16/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
518210
Solicitation №
1912-27

Budget estimate

$250,000 – $750,000

The solicitation does not disclose a budget. Based on typical K‑12 district data‑warehouse projects of comparable scope (architecture, cloud hosting, migration, training, and multi‑year support), a reasonable contract value would likely fall between $250,000 and $750,000, depending on the chosen technology stack, licensing fees, and support level. Larger cloud‑service contracts could push the high end above $1 million, while a more limited implementation could be nearer the low end.

AI estimate from the solicitation

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