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Data Analytics & Benchmarking for FSL Performance

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State & Local

Contract Overview

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The contract titled Data Analytics & Benchmarking for FSL Performance requires the collection and analysis of comprehensive data related to participation, retention, academic outcomes, and safety within the FSL system, with the goal of generating evidence-based recommendations to improve institutional performance. The contractor will compare these metrics against national benchmarks to identify trends, gaps, and opportunities for strategic intervention, ensuring that findings are actionable and aligned with institutional priorities. This effort is critical for fostering data-driven decision-making and enhancing the overall effectiveness of the FSL ecosystem. The contract is structured as a subcontract under the University of Wyoming’s Wyoming office, with a NAICS code of 541614 indicating it falls within the analytical services sector. The solicitation was posted on June 30, 2026, with responses due by July 28, 2026, providing a four-week window for submission. There is no specific set-aside designation, and the place of performance details are not provided, suggesting the work may be conducted remotely or based on institutional needs. All information and submissions must be accessed through the public procurement portal linked to the University of Wyoming’s bidding system.

General Info

Collect and analyze FSL data against national benchmarks to drive evidence-based performance improvements.

Agency

University of WyomingView Agency

NAICS

541614 - Process, Physical Distribution, and Logistics Consulting ServicesView NAICS

Place of Performance

WY, USA

Set-Aside

NONE

Documents

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No documents available

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Timeline

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Organization & Contact Information

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AgencyUniversity of Wyoming
ContactsNo contacts available
OfficeN/A
Organization / Agency
University of Wyoming
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Office AddressN/A
ContactsNo contact information available

Full Description

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Collect and analyze FSL data on participation, retention, academics, safety, and national benchmarks to support evidence-based recommendations.

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