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Data Platform Implementation Partner

University of Portsmouth Higher Education Corporation

This public procurement record has 2 releases in its history.

Award

07 Jul 2026 at 16:42

UK6 - Contract Award Notice
Tender

17 Apr 2026 at 14:40

UK4 - Tender Notice
Summary of the contracting process

The University of Portsmouth Higher Education Corporation has completed its procurement process for a "Data Platform Implementation Partner" aimed at modernising its existing data estate. The procurement, initiated as a tender on 17 April 2026 and awarded on 11 June 2026, is situated in Portsmouth, United Kingdom, within the region UKJ31. The industry category includes IT services such as consulting, software development, Internet, and support. This open procurement process culminated in a contract valued at £911,000 GBP with TELEFÓNICA TECH UK LIMITED, utilising a competitive flexible procedure. The contract period runs from 20 July 2026 to 31 July 2027, with options for renewal and value-add services such as Power BI training. The project supports strategic institutional functions encompassing academic operations, student lifecycle management, and more, with significant reliance on Microsoft Azure and Microsoft Fabric technology stacks.

This tender opens significant opportunities for businesses experienced in data platform development and IT services, particularly those familiar with cloud-based solutions and Microsoft's technology ecosystem. Firms strong in delivering scalable, secure data platforms that facilitate advanced analytics, AI integration, and data governance are poised for success. The procurement allows for at least one proof of concept focusing on predictive analytics and learning analytics, aligning with innovation in data insights for student recruitment and engagement. There is also scope for value-added proposals, making it an exciting prospect for businesses aiming to demonstrate innovation and technological competence. Suppliers are encouraged not only to meet the core needs but to propose additional services that could enhance the University's data capabilities, providing room for strategic partnerships and future business growth.

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Notice Information

Notice Title

Data Platform Implementation Partner

Notice Description

Award of Data platform implementation partner. The University is seeking to design, build and implement a modern, enterprise-grade data platform to replace the existing on-premises Oracle data warehouse. The new platform will provide a scalable, secure and future-ready foundation capable of supporting the full ecosystem of data ingestion, transformation, semantic modelling, operational reporting, strategic insights, and AI-enabled analytical capabilities. The platform will form a critical foundation for decision making across the University, supporting academic operations, student lifecycle management, finance, HR, research and other domains. It will empower approximately 4,000 internal users while indirectly supporting services that impact more than 20,000 students. The solution will be developed using Microsoft Azure and Microsoft Fabric as the strategic technology stack. It must deliver high levels of scalability, improved data accessibility, and automation, alongside advanced analytics capabilities. The platform will also be designed to support future integration of AI agents and LLM-based natural language querying, enabling more intuitive and democratised access to insights. As part of its broader analytical capability, the platform should provide the foundations to enable advanced learning analytics and support data modelling use cases aligned to student recruitment, retention and engagement. There is an expectation that the delivery will include at least one agreed proof of concept to demonstrate the platform's advanced analytics capabilities. The specific use case will be defined collaboratively, but is expected to align to one or more of the following innovation areas: * Predictive analytics (e.g. student number forecasting in collaboration with Strategic Planning) * Advanced learning analytics capabilities * Data modelling solutions to support student recruitment and engagement The final scope and prioritisation of this proof of concept will be agreed during the delivery phase to ensure alignment with institutional priorities and data readiness. A key objective is to democratise data access and capability across the University. The platform will provide governed self-service capabilities, allowing teams beyond the Information Management function to access curated data models and develop their own data modelling solutions where appropriate, while maintaining strong data governance and quality standards. The scope of work includes the design, implementation and migration of approximately 1,200 ODI mappings, over 35 database schemas, and 3,000 tables. It also includes comprehensive documentation, training, and a structured knowledge transfer programme to ensure long-term sustainability. The supplier will ensure that the final solution is production-ready, secure, fully documented, and successfully transitioned into business-as-usual support structures, while enabling ongoing evolution of analytical capabilities over time. The University of Portsmouth requires an experienced supplier to deliver a complete cloud-based data platform to modernise its existing data estate and enable future analytical growth. The contract will cover end-to-end delivery: architecture design, build, migration, operational readiness and early-life support. The University plans to retire its legacy Oracle data warehouse and build a new data platform, migrating key datasets that remain in active use. This will improve performance, ensure long-term sustainability, and open new capabilities such as AI-driven querying and predictive analytics. The platform will support both strategic and operational reporting, including self-service tools, automated data updates, and advanced modelling aligned with the University's goals. Beyond the development of the core data platform, the University is interested in working with the successful supplier to explore innovative applications of data. This may take place alongside the implementation or once the platform is established, and could include areas such as learning analytics, forecasting, and other advanced insights.

Lot Information

Lot 1

Renewal: The University has an indicative budget of up to PS660,000 (incl. VAT) allocated for the delivery of the core Data Platform and including the optional 12-month Support extension. This figure is based on initial business case assumptions and is intended as a guide rather than a fixed constraint. Suppliers are encouraged to propose solutions that deliver best value and may submit proposals that are below or above this indicative budget, provided clear justification is given. Pricing Requirements Suppliers must provide a fully itemised pricing breakdown, including: * Platform design and implementation * Data migration and re-engineering activities * Testing and deployment * Documentation and knowledge transfer * Initial 8-week post implementation Early-life hypercare support * 12-month Support Option following Implementation and Early-Life hypercare Support * Licensing costs (where applicable) * Day rates for all roles and resources Pricing should clearly distinguish between: * One-off implementation costs * Recurring / operational costs In addition, there is also scope to propose additional optional value-add proposals in addition to the core requirements which may or may not be included in any final contract award. The main services including the 8-week hypercare are required to be fully completed by 31 July 2027. In addition, the University wishes to reserve the option to extend the contract with a 12-month Support option.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-068574
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/063836-2026
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
UK6 - Contract Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Competitive flexible procedure
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services

72 - IT services: consulting, software development, Internet and support

CPV Codes

71600000 - Technical testing, analysis and consultancy services

72000000 - IT services: consulting, software development, Internet and support

Notice Value(s)

Tender Value
£660,000 £500K-£1M
Lots Value
£660,000 £500K-£1M
Awards Value
£911,000 £500K-£1M
Contracts Value
Not specified

Notice Dates

Publication Date
7 Jul 20261 months ago
Submission Deadline
13 May 2026Expired
Future Notice Date
Not specified
Award Date
11 Jun 20262 months ago
Contract Period
20 Jul 2026 - 31 Jul 2027 1-2 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
University of Portsmouth Higher Education Corporation
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
PORTSMOUTH
Postcode
PO1 2UP
Postcode Area
Portsmouth
Country
England
Major Region (ITL 1)
TLJ South East (England)
Basic Region (ITL 2)
TLJ3 Hampshire and Isle of Wight
Small Region (ITL 3)
TLJ31 Portsmouth
Delivery Location
Not specified
Local Authority
Portsmouth
Electoral Ward
St Thomas
Westminster Constituency
Portsmouth South

Supplier Information

Number of Suppliers
1
Supplier Name

TELEFÓNICA TECH UK LIMITED

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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