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Data Analytics Environment Integration

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International

Contract Overview

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

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The University of Portsmouth Higher Education Corporation is seeking a subcontractor for the Data Analytics Environment Integration project. The selected provider will be responsible for the technical integration of occupancy sensor data streams, which involves developing APIs and ETL processes to map sensor data into the university's existing analytics platform. A primary deliverable is the creation of an integrated data pipeline that ensures seamless communication between the sensor solution and the analytics environment. This subcontract requires strict adherence to cybersecurity standards for all data transmissions. Interested parties must respond by October 12, 2026. The project falls under NAICS code 541512 and is focused on enhancing the data capabilities of campus projects through specialized technical integration.

General Info

University of Portsmouth seeks subcontractor for data analytics integration by October 12, 2026.

Agency

University of Portsmouth Higher Education CorporationView Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

GBR

Set-Aside

NONE

Documents

This scope was carved out of 25-781.

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

View the prime solicitation

Supply, Installation and Operation of an Occupancy Sensor and Monitoring Solution

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Organization & Contact Information

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AgencyUniversity of Portsmouth Higher Education Corporation
ContactsNo contacts available
OfficeN/A
Organization / Agency
University of Portsmouth Higher Education Corporation
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Office AddressN/A
ContactsNo contact information available

Full Description

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Performs technical integration of occupancy sensor data streams for prime contractors on University of Portsmouth campus projects. Develops APIs and ETL processes to map sensor data into the University's existing data analytics platform. Requires adherence to cybersecurity standards for data transmission. Delivers an integrated data pipeline between the sensor solution and analytics environment.

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