Procurement Summary
Country: United Kingdom
Summary: Together in Data Programme
Deadline: 02 Jun 2026
Posting Date: 08 May 2026
Other Information
Notice Type: Tender
TOT Ref.No.: 140894482
Document Ref. No.:
Competition: ICB
Financier: Self Financed
Purchaser Ownership: Public
Tender Value: Refer Document
CPV Classification
72150000 - Computer audit consultancy and hardware consultancy services
72200000 - Software programming and consultancy services
72300000 - Data services
72500000 - Computer-related services
72600000 - Computer support and consultancy services
Purchaser's Detail
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Login to see detailsTender Details
The Together in Data initiative proposes: A cloud-first, Microsoft Fabric-based data platform incorporating Data Factory, OneLake, Power BI, Warehouse, and governance tooling. A single, trusted environment spanning raw → working → curated data layers. A unified data model enabling Customer 360, Home 360, Repairs, Assets, Finance and other critical subject areas. A data ecosystem that supports AI, ML, predictive analytics, automated insight, improved decision making, and self-service analytics. Scope of the Proposed Procurement The Authority anticipates procuring a partner (or partners) to support the design, build, testing, governance, and early life support of the new data platform. Indicative scope areas include: 3.1 Core Technical Requirements Microsoft Fabric tenant and associated Azure configuration (security, workspaces, licensing). Development of raw/working/curated data lakehouse layers. On premise and cloud data ingestion pipelines. Data modelling, transformation, and semantic layer creation for enterprise datasets. Migration from an existing limited Microsoft data lakehouse structure. Integration with 3rd party data sets. CI/CD automation and platform observability tooling. Environment strategy (Dev / Test / Prod). Integration with Dynamics 365 CRM and Finance & Operations. Integration with other line of business applications. 3.2 Governance & Operating Model Meet the requirements of a Platform's data governance framework (including Data quality, lineage, cataloguin...
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