{ "uri": "https://www.find-tender.service.gov.uk/api/1.0/ocdsRecordPackages/ocds-h6vhtk-068574", "publisher": { "name": "Cabinet Office", "scheme": "GB-GOR", "uid": "D2", "uri": "https://www.gov.uk/government/organisations/cabinet-office" }, "publishedDate": "2026-07-07T16:42:57+01:00", "license": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "publicationPolicy": "https://www.gov.uk/government/publications/open-contracting", "version": "1.1", "extensions": [ "https://standard.open-contracting.org/profiles/eu/latest/en/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_amendment_rationale_classifications_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_budget_breakdown_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_contract_completion_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_documentation_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_pagination_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_suitability_extension/master/extension.json", "https://raw.githubusercontent.com/portaledcahn/ocds_Links_extension/main/extension.json", "https://raw.githubusercontent.com/cabinetoffice/ocds_uk_extension/main/extension.json" ], "packages": [ "https://www.find-tender.service.gov.uk/api/1.0/ocdsRecordPackages/ocds-h6vhtk-068574" ], "records": [ { "ocid": "ocds-h6vhtk-068574", "releases": [ { "ocid": "ocds-h6vhtk-068574", "id": "035266-2026", "tag": [ "tender" ], "date": "2026-04-17T14:40:53+01:00", "initiationType": "tender", "parties": [ { "name": "University of Portsmouth Higher Education Corporation", "id": "GB-PPON-PWYV-2655-NPMQ", "identifier": { "scheme": "GB-PPON", "id": "PWYV-2655-NPMQ" }, "address": { "streetAddress": "University House", "locality": "Portsmouth", "postalCode": "PO1 2UP", "country": "GB", "countryName": "United Kingdom", "region": "UKJ31" }, "contactPoint": { "email": "procurement@port.ac.uk" }, "roles": [ "buyer" ], "details": { "url": "http://www.port.ac.uk/", "classifications": [ { "scheme": "UK_CA_TYPE", "id": "publicAuthoritySubCentralGovernment", "description": "Public authority - sub-central government" } ] } } ], "buyer": { "id": "GB-PPON-PWYV-2655-NPMQ", "name": "University of Portsmouth Higher Education Corporation" }, "tender": { "id": "25-528", "legalBasis": { "id": "2023/54", "scheme": "UKPGA", "uri": "https://www.legislation.gov.uk/ukpga/2023/54/contents" }, "title": "Data Platform Implementation Partner", "description": "The University of Portsmouth 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.\nThe 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.\nThe 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.\nAs 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.\nThere 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:\n•\tPredictive analytics (e.g. student number forecasting in collaboration with Strategic Planning)\n•\tAdvanced learning analytics capabilities\n•\tData modelling solutions to support student recruitment and engagement\nThe 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.\nA 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.\nThe 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.\nThe 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.\nThe 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.\nThe 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.\nBeyond 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.\nThis procurement will result in a deliverables‑based contract where ownership of outputs transfers fully to the University. Work is expected to commence following contract award, with delivery anticipated over a period of approximately 13 months, subject to scoping refinement. Completion date for services is expected to be 31 May 2027 followed by a hypercare support for 8 weeks to 31 July 2027. Subsequent to this there will be an optional 12-month support option.\nTo Express an Interest in this project please register on the University of Portsmouth In-Tend webpage and express an interest in this project. Access to the detailed ITT can then also be found. Please find the weblink for our webpage below:\nhttps://in-tendhost.co.uk/port/aspx/Home", "status": "active", "items": [ { "id": "1", "additionalClassifications": [ { "scheme": "CPV", "id": "71600000", "description": "Technical testing, analysis and consultancy services" }, { "scheme": "CPV", "id": "72000000", "description": "IT services: consulting, software development, Internet and support" } ], "relatedLot": "1" } ], "value": { "amountGross": 660000, "currency": "GBP" }, "procurementMethod": "open", "procurementMethodDetails": "Competitive flexible procedure", "procedure": { "features": "Stage 1 - Written response. \nBidders are invited to respond to conditions of participation and written response submissions to the bidder response questionnaire (Quality/Technical). These proposals will be evaluated and the highest 4 scoring suppliers will be invited to Stage 2. Bidders ranked 5 or lower will be eliminated from the process. 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Must have or be willing to have required insurances in place following contract award.\n2. Must be willing to engage on University terms and conditions.\n3. Must pass the relevant financial checks following contract award.\n4. Must be registered on the Central Digital Platform." }, { "type": "technical", "description": "1. Must be an official Microsoft Partner (or equivalent).\n2. Must have sufficient resource capacity available to provide services between 1 July 2026 and 31 July 2027. Should also have capacity to support optional 12-month support option to 31 July 2028.\n3. Must have the relevant experience and technical capabilities as specified in the tender." } ] }, "suitability": { "sme": true }, "contractPeriod": { "startDate": "2026-07-01T00:00:00+01:00", "endDate": "2027-07-31T23:59:59+01:00", "maxExtentDate": "2028-07-31T23:59:59+01:00" }, "hasRenewal": true, "renewal": { "description": "The University has an indicative budget of up to £660,000 (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.\nSuppliers 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.\nPricing Requirements\nSuppliers must provide a fully itemised pricing breakdown, including:\n•\tPlatform design and implementation \n•\tData migration and re-engineering activities \n•\tTesting and deployment \n•\tDocumentation and knowledge transfer \n•\tInitial 8-week post implementation Early-life hypercare support\n•\t12-month Support Option following Implementation and Early-Life hypercare Support\n•\tLicensing costs (where applicable) \n•\tDay rates for all roles and resources \nPricing should clearly distinguish between:\n•\tOne-off implementation costs \n•\tRecurring / operational costs\nIn 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.\nThe main services including the 8-week hypercare are required to be fully completed by 31 July 2027. 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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.\nThe 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.\nThe 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. 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The contract will cover end‑to‑end delivery: architecture design, build, migration, operational readiness and early‑life support.\nThe 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.\nBeyond the development of the core data platform, the University is interested in working with the successful supplier to explore innovative applications of data. 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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.\nThe 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.\nThe 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.\nAs 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.\nThere is an expectation that the delivery will include at least one agreed proof of concept to demonstrate the platform's advanced analytics capabilities. 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Bidders ranked 5 or lower will be eliminated from the process. Please note that pricing proposals will also be submitted at this stage, but only assessed following completion of Stage 2.\nStage 2 - Presentations. \nThe highest 4 scoring bidders from Stage 1 will be invited to conduct presentations. These presentations will be evaluated and scored.\nFollowing completion of Stages 1 and 2, the pricing proposals from the Stage 1 tender submissions will then also be scored. The combined scores for Stages 1 and 2 along with the Pricing scores will then be totalled together. 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Must have or be willing to have required insurances in place following contract award.\n2. Must be willing to engage on University terms and conditions.\n3. Must pass the relevant financial checks following contract award.\n4. Must be registered on the Central Digital Platform." }, { "type": "technical", "description": "1. Must be an official Microsoft Partner (or equivalent).\n2. Must have sufficient resource capacity available to provide services between 1 July 2026 and 31 July 2027. Should also have capacity to support optional 12-month support option to 31 July 2028.\n3. Must have the relevant experience and technical capabilities as specified in the tender." } ] }, "suitability": { "sme": true }, "contractPeriod": { "startDate": "2026-07-01T00:00:00+01:00", "endDate": "2027-07-31T23:59:59+01:00", "maxExtentDate": "2028-07-31T23:59:59+01:00" }, "hasRenewal": true, "renewal": { "description": "The University has an indicative budget of up to £660,000 (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.\nSuppliers 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.\nPricing Requirements\nSuppliers must provide a fully itemised pricing breakdown, including:\n•\tPlatform design and implementation \n•\tData migration and re-engineering activities \n•\tTesting and deployment \n•\tDocumentation and knowledge transfer \n•\tInitial 8-week post implementation Early-life hypercare support\n•\t12-month Support Option following Implementation and Early-Life hypercare Support\n•\tLicensing costs (where applicable) \n•\tDay rates for all roles and resources \nPricing should clearly distinguish between:\n•\tOne-off implementation costs \n•\tRecurring / operational costs\nIn 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.\nThe 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." } } ], "documents": [ { "id": "conflictOfInterest", "documentType": "conflictOfInterest", "description": "Not published" }, { "id": "035266-2026", "documentType": "tenderNotice", "noticeType": "UK4", "description": "Tender notice on Find a Tender", "url": "https://www.find-tender.service.gov.uk/Notice/035266-2026", "datePublished": "2026-04-17T14:40:53+01:00", "format": "text/html" } ] }, "language": "en", "extensions": [ "https://standard.open-contracting.org/profiles/eu/latest/en/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_amendment_rationale_classifications_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_budget_breakdown_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_contract_completion_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_documentation_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_pagination_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_performance_failures_extension/master/extension.json", "https://raw.githubusercontent.com/open-contracting-extensions/ocds_suitability_extension/master/extension.json", "https://raw.githubusercontent.com/portaledcahn/ocds_Links_extension/main/extension.json", "https://raw.githubusercontent.com/cabinetoffice/ocds_uk_extension/main/extension.json" ], "bids": { "statistics": [ { "id": "1", "measure": "bids", "value": 9, "relatedLot": "1" }, { "id": "2", "measure": "finalStageBids", "value": 4, "relatedLot": "1" }, { "id": "3", "measure": "smeFinalStageBids", "value": 2, "relatedLot": "1" }, { "id": "4", "measure": "vcseFinalStageBids", "value": 0, "relatedLot": "1" } ] }, "awards": [ { "id": "1", "status": "active", "date": "2026-06-11T00:00:00+01:00", "value": { "amountGross": 911000, "currency": "GBP" }, "mainProcurementCategory": "services", "aboveThreshold": true, "suppliers": [ { "id": "GB-COH-02563193", "name": "TELEFÓNICA TECH UK LIMITED" } ], "items": [ { "id": "1", "additionalClassifications": [ { "scheme": "CPV", "id": "71600000", "description": "Technical testing, analysis and consultancy services" }, { "scheme": "CPV", "id": "72000000", "description": "IT services: consulting, software development, Internet and support" } ], "deliveryAddresses": [ { "region": "UKJ31", "country": "GB", "countryName": "United Kingdom" } ], "relatedLot": "1" } ], "contractPeriod": { "startDate": "2026-07-20T00:00:00+01:00", "endDate": "2027-07-31T23:59:59+01:00", "maxExtentDate": "2028-07-31T23:59:59+01:00" }, "hasRenewal": true, "renewal": { "description": "An optional 12-month Support service can be purchased following the initial term" }, "hasOptions": true, "options": { "description": "There is some provision for optional value-add services such as Power BI training and other technical packages of work related to the Project. 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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.\nThe 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.\nThe 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.\nAs 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.\nThere 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:\n•\tPredictive analytics (e.g. student number forecasting in collaboration with Strategic Planning)\n•\tAdvanced learning analytics capabilities\n•\tData modelling solutions to support student recruitment and engagement\nThe 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.\nA 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.\nThe 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.\nThe 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.\nThe 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.\nThe 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.\nBeyond 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.\nThis procurement will result in a deliverables‑based contract where ownership of outputs transfers fully to the University. Work is expected to commence following contract award, with delivery anticipated over a period of approximately 13 months, subject to scoping refinement. Completion date for services is expected to be 31 May 2027 followed by a hypercare support for 8 weeks to 31 July 2027. Subsequent to this there will be an optional 12-month support option.\nTo Express an Interest in this project please register on the University of Portsmouth In-Tend webpage and express an interest in this project. Access to the detailed ITT can then also be found. Please find the weblink for our webpage below:\nhttps://in-tendhost.co.uk/port/aspx/Home" }, { "releaseID": "063836-2026", "releaseDate": "2026-07-07T16:42:57+01:00", "releaseTag": [ "award", "contract" ], "value": "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.\nThe 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.\nThe 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.\nAs 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.\nThere 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:\n• Predictive analytics (e.g. student number forecasting in collaboration with Strategic Planning)\n• Advanced learning analytics capabilities\n• Data modelling solutions to support student recruitment and engagement\nThe 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.\nA 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.\nThe 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.\nThe 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.\nThe 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.\nThe 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.\nBeyond the development of the core data platform, the University is interested in working with the successful supplier to explore innovative applications of data. 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