---
title: "Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management"
ocid: "ocds-r6ebe6-0000720594"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000720594"
markdown_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000720594.md"
json_url: "https://d3tenders.com/contract/ocds-r6ebe6-0000720594.json"
source: "Public Contracts Scotland"
current_stage: "Award"
buyer: "UNIVERSITY OF ST ANDREWS"
published: "2023-03-24"
---

# Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management

Buyer: UNIVERSITY OF ST ANDREWS  
Current stage: Award  
OCID: ocds-r6ebe6-0000720594

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## Summary

The University of St Andrews has awarded a contract for the project titled "Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management". The procurement process was led by the University of St Andrews as the buying organization. The project falls under the education industry category and is located in Guardbridge, UK. The procurement stage is "Award", with the contract signed on March 22, 2023, for a value of £99,400. The University utilized an open procedure for this services procurement.

This awarded contract by the University of St Andrews opens up opportunities for small and medium enterprises (SMEs) with expertise in data management and consultancy services. Businesses in the technology and data analysis sectors would be well-suited to compete in providing solutions for the University's data-related challenges. The project aims to enhance the University's data infrastructure and delivery capabilities, aligning with its digital strategy while utilising modern tools and practices to achieve business intelligence goals.

## Notice

The University of St Andrews has completed an extensive period of investigation into how the current data repository and reporting tool set are unable to deliver the needs of the business without excessive manual effort. There are also risks associated with the current data architecture which impacts on the staffs' ability to locate, compile reports and dashboards, with high accuracy and lacks modern tools to support business intelligence. Additionally, to support the University strategy (Digital) there is the ambition to satisfy a set of the 'Vs' of Big Data management. There are various academic views on the number. Ten examples are; Volume, Velocity, Variety, Variability, Veracity, Validity, Vulnerability, Volatility, Visualisation, Value. Currently within University resources, our data landscape is undergoing a process of modelling to create conceptual and logical models as inputs to the development of a new data warehouse to meet our dashboard and reporting requirements (Staff, Student, Estate, Research & Finance data). To support the University in-house resource, we are looking to supplement with specialist skillsets to ensure the most appropriate solution is delivered based on the outcome specifications of the modelling, and current technology and practices.

### Lot Information

Lot 1

The University of St Andrews has completed an extensive period of investigation into how the current data repository and reporting tool set are unable to deliver the needs of the business without excessive manual effort. There are also risks associated with the current data architecture which impacts on the staffs' ability to locate, compile reports and dashboards, with high accuracy and lacks modern tools to support business intelligence. Additionally, to support the University strategy (Digital) there is the ambition to satisfy a set of the 'Vs' of Big Data management. There are various academic views on the number. Ten examples are; Volume, Velocity, Variety, Variability, Veracity, Validity, Vulnerability, Volatility, Visualisation, Value. Currently within University resources, our data landscape is undergoing a process of modelling to create conceptual and logical models as inputs to the development of a new data warehouse to meet our dashboard and reporting requirements (Staff, Student, Estate, Research & Finance data). To support the University in-house resource, we are looking to supplement with specialist skillsets to ensure the most appropriate solution is delivered based on the outcome specifications of the modelling, and current technology and practices.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Public Contracts Scotland |
| Latest notice | https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=MAR474586 |
| Notice type | PCS Notice - Website Contract Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | SME |
| All stages | Tender, Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 24 Mar 2023 |
| Submission deadline | 17 Feb 2023 |
| Future notice date | Not specified |
| Award date | 22 Mar 2023 |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £99,400 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Complete |
| Awards status | Not specified |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UNIVERSITY OF ST ANDREWS |
| Locality | GUARDBRIDGE |
| Post town | Kirkcaldy |
| Postcode | KY16 0US |
| Country | Scotland |
| ITL 1 | TLM Scotland |
| ITL 2 | TLM0 Eastern Scotland |
| ITL 3 | TLM01 Clackmannanshire and Fife |
| Local authority | Fife |
| Electoral ward | Tay Bridgehead |
| Westminster constituency | North East Fife |
| Delivery location | TLM72 Clackmannanshire and Fife |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | RITTMAN MEAD |

## CPV Codes

### Divisions

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

### Codes

- 72220000 - Systems and technical consultancy services

## Release History

- 24 Mar 2023 at 00:00 - Award - PCS Notice - Website Contract Award Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=MAR474586
- 27 Jan 2023 at 00:00 - Tender - PCS Notice - Website Contract Notice - https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN469740

## Documents

- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN469740
  Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management - The University of St Andrews has completed an extensive period of investigation into how the current data repository and reporting tool set are unable to deliver the needs of the business without excessive manual effort. There are also risks associated with the current data architecture which impacts on the staffs' ability to locate, compile reports and dashboards, with high accuracy and lacks modern tools to support business intelligence. Additionally, to support the University strategy (Digital) there is the ambition to satisfy a set of the 'Vs' of Big Data management. There are various academic views on the number. Ten examples are; Volume, Velocity, Variety, Variability, Veracity, Validity, Vulnerability, Volatility, Visualisation, Value. Currently within University resources, our data landscape is undergoing a process of modelling to create conceptual and logical models as inputs to the development of a new data warehouse to meet our dashboard and reporting requirements (Staff, Student, Estate, Research & Finance data). To support the University in-house resource, we are looking to supplement with specialist skillsets to ensure the most appropriate solution is delivered based on the outcome specifications of the modelling, and current technology and practices.
- https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=MAR474586
  Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management - The University of St Andrews has completed an extensive period of investigation into how the current data repository and reporting tool set are unable to deliver the needs of the business without excessive manual effort. There are also risks associated with the current data architecture which impacts on the staffs' ability to locate, compile reports and dashboards, with high accuracy and lacks modern tools to support business intelligence. Additionally, to support the University strategy (Digital) there is the ambition to satisfy a set of the 'Vs' of Big Data management. There are various academic views on the number. Ten examples are; Volume, Velocity, Variety, Variability, Veracity, Validity, Vulnerability, Volatility, Visualisation, Value. Currently within University resources, our data landscape is undergoing a process of modelling to create conceptual and logical models as inputs to the development of a new data warehouse to meet our dashboard and reporting requirements (Staff, Student, Estate, Research & Finance data). To support the University in-house resource, we are looking to supplement with specialist skillsets to ensure the most appropriate solution is delivered based on the outcome specifications of the modelling, and current technology and practices.

## Notice URLs

- http://
- http://www.st-andrews.ac.uk/staff/money/procurement/
- https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000720594
- https://in-tendhost.co.uk/universityofstandrews/aspx/Home
- https://www.st-andrews.ac.uk/media/procurement/supplier-registration-portal.pdf

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-r6ebe6-0000720594. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-r6ebe6-0000720594.json.