This Government Contract opportunity from Texas was posted on December 23, 2025. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Data Analytics and Reporting Framework

Closed

State & Local

Submission Closed01/30/2026, 08:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 518210

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Department Of Transportation

POSTED

1 day ago

DEADLINE

in 3 months

AI Contract Overview

Texas A&M University is seeking a subcontractor for the Data Analytics and Reporting Framework project. The primary objective is to design and implement a scalable analytics environment that integrates cloud platforms and business intelligence tools to support comprehensive dashboards, detailed reporting, predictive modeling, and self-service analytics capabilities. The solicitation was posted on December 23, 2025, with a response deadline set for January 30, 2026. This opportunity falls under NAICS code 518210 and is managed through the Texas A&M University procurement system.

General Info

Texas A&M seeks a subcontractor for a scalable data analytics and reporting framework.

Agency

Texas A&M University

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of TTI-RFP-1475.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFP - Data Management Plan Development

AI Contract Breakdown

Uniform Contract Format

No documents to break down

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Timeline

PhaseClosed

PostedDec 23

subcontract

Response DeadlineJan 30

Deadline has passed

Submission Closed

01/30/2026, 08:00:00 PM UTC

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Organization & Contact Information

AgencyTexas A&M University

ContactsNo contacts available

OfficeN/A

Organization / AgencyTexas A&M University

Office AddressN/A

ContactsNo contact information available

Full Description

Design a scalable analytics environment supporting dashboards, reporting, predictive modeling, and self-service analytics using cloud platforms and BI tools.