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This Government Contract opportunity from Texas was posted on April 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Longitudinal Performance Analytics and Benchmarking

Closed
State & Local

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Texas Southern University is seeking a subcontractor to deliver tools and reports that analyze and visualize student performance data over time, enabling benchmarks against peer institutions and national averages through advanced data analytics. The contract, titled Longitudinal Performance Analytics and Benchmarking, is aimed at providing actionable insights to support institutional improvement, student success initiatives, and strategic decision-making. The solution must effectively aggregate, interpret, and present longitudinal academic data in an accessible and meaningful format for educators and administrators. The solicitation was posted on April 28, 2026, with a response deadline of May 12, 2026, and falls under NAICS code 541611 for management, scientific, and technical consulting services. Performance is expected to align with the university’s operational needs, though the physical location of performance is not specified. The contract is listed on the Texas SmartBuy portal for potential vendors to review and respond.

General Info

Providing data analytics tools and reports for tracking and benchmarking student performance at Texas Southern University.

Documents

This scope was carved out of 717-26-746.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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Pharmacy Benchmark Assessment Program

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyTexas Southern University
ContactsNo contacts available
OfficeN/A
Organization / AgencyTexas Southern University
Office AddressN/A
ContactsNo contact information available

Full Description

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Provide tools and reports that track student performance over time and benchmark against peer institutions and national averages using data analytics and visualization.

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Miguel
Hillary
Keith Deutsch
Christine

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