# National Data Architecture \(NDA\) - Data Modelling

> Contract award record from UK public-sector procurement sources.

## Key facts

- Public buyer: [NHS Digital](/buyers/nhs-digital/contract-awards)
- Contract winner: [SAP \(UK\) LTD](/contract-winners/sap-uk/public-sector-contract-awards)
- Award value: £162,840
- Tender value: £162,840
- Award date: 30 June 2018
- Published: 22 March 2019
- Contract start: 1 July 2018
- Contract end: 30 June 2019
- Stage: awarded
- Procurement category: services
- Notice ID: 6028eeef-4067-46fb-95a4-f0042424db5c-277815
- OCID: ocds-b5fd17-e8529b49-ea88-4060-b90f-c6f604a46feb

## Description

This requirement is for the ability to use SAP Health's software - called Powerdesigner, to allow the NDA programme to progress with Beta stage work\. Powerdesigner is a leader in Data Modelling space, providing conceptual, logical and physical data models\. NHS Digital have a complex heterogenous data landscape and we need a tool that can 'make sense' of the data at rest \(data models\)\. The tool is used to provide: • Illustrative and textual representations of conceptual, logical and physical data models in the form of normalised ERD's via ERwin for e\.g\. or Graph, Triple Store, Key Value etc model representations • Linking of models and meta data attributes and referenced modules/DDB's etc\. • Cardinality, relationships and constraints between entities &amp; data attributes including keys, uniqueness, references, checks • Relationships of information assets \(assets\), data attributes which create modules, DDB's or collections \(entities\) • Catalogue of models, modules, entities, data attribute groups linked, possibly related etc but re-useable • Information about why, how and what entities and data attributes are associated, referenced, linked etc to create modules, DDB's etc • Analytical models etc based upon data models of entities, data attributes

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## Source

[View the original notice on Contracts Finder](https://www.contractsfinder.service.gov.uk/Notice/6028eeef-4067-46fb-95a4-f0042424db5c-277815)
