Award

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

UNIVERSITY OF ST ANDREWS

This public procurement record has 2 releases in its history.

Summary of the contracting process

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.

Find more tenders on our Open Data Platform.
How relevant is this notice?

D3 Tenders Premium

Win More Public Sector Contracts

AI-powered tender discovery, pipeline management, and market intelligence — everything you need to grow your public sector business.

Notice Title

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

Notice Description

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.

Publication & Lifecycle

Open Contracting ID
ocds-r6ebe6-0000720594
Publication Source
Public Contracts Scotland
Latest Notice
https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=MAR474586
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

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


CPV Codes

72220000 - Systems and technical consultancy services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£99,400 Under £100K

Notice Dates

Publication Date
24 Mar 20232 years ago
Submission Deadline
17 Feb 2023Expired
Future Notice Date
Not specified
Award Date
22 Mar 20232 years ago
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY OF ST ANDREWS
Contact Name
Not specified
Contact Email
procurement@st-andrews.ac.uk
Contact Phone
+44 1334462523

Buyer Location

Locality
GUARDBRIDGE
Postcode
KY16 0US
Post Town
Kirkcaldy
Country
Scotland

Major Region (ITL 1)
TLM Scotland
Basic Region (ITL 2)
TLM0 Eastern Scotland
Small Region (ITL 3)
TLM01 Clackmannanshire and Fife
Delivery Location
TLM72 Clackmannanshire and Fife

Local Authority
Fife
Electoral Ward
Tay Bridgehead
Westminster Constituency
North East Fife

Supplier Information

Number of Suppliers
1
Supplier Name

RITTMAN MEAD

Further Information

Notice 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.

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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.

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-r6ebe6-0000720594-2023-03-24T00:00:00Z",
    "date": "2023-03-24T00:00:00Z",
    "ocid": "ocds-r6ebe6-0000720594",
    "initiationType": "tender",
    "parties": [
        {
            "id": "org-33",
            "name": "University of St Andrews",
            "identifier": {
                "legalName": "University of St Andrews"
            },
            "address": {
                "streetAddress": "Walter Bower House, Eden Campus",
                "locality": "Guardbridge",
                "region": "UKM72",
                "postalCode": "KY16 0US"
            },
            "contactPoint": {
                "email": "procurement@st-andrews.ac.uk",
                "telephone": "+44 1334462523",
                "url": "https://in-tendhost.co.uk/universityofstandrews/aspx/Home"
            },
            "roles": [
                "buyer"
            ],
            "details": {
                "classifications": [
                    {
                        "id": "Body governed by public law",
                        "scheme": "TED_CA_TYPE"
                    },
                    {
                        "id": "09",
                        "description": "Education",
                        "scheme": "COFOG"
                    }
                ],
                "url": "http://www.st-andrews.ac.uk/staff/money/procurement/"
            }
        },
        {
            "id": "org-24",
            "name": "Dundee Sheriff Court",
            "identifier": {
                "legalName": "Dundee Sheriff Court"
            },
            "address": {
                "streetAddress": "6 West Bell Street",
                "locality": "Dundee",
                "postalCode": "DD1 9AD"
            },
            "contactPoint": {
                "url": "http://"
            },
            "roles": [
                "reviewBody"
            ]
        },
        {
            "id": "org-99",
            "name": "University of St Andrews",
            "identifier": {
                "legalName": "University of St Andrews"
            },
            "address": {
                "streetAddress": "Walter Bower House, Eden Campus",
                "locality": "Guardbridge",
                "region": "UKM72",
                "postalCode": "KY16 0US"
            },
            "contactPoint": {
                "email": "procurement@st-andrews.ac.uk",
                "telephone": "+44 1334462523",
                "url": "http://"
            },
            "roles": [
                "buyer"
            ],
            "details": {
                "classifications": [
                    {
                        "id": "Body governed by public law",
                        "scheme": "TED_CA_TYPE"
                    },
                    {
                        "id": "09",
                        "description": "Education",
                        "scheme": "COFOG"
                    }
                ],
                "url": "http://www.st-andrews.ac.uk/staff/money/procurement/"
            }
        },
        {
            "id": "org-217",
            "name": "Rittman Mead",
            "identifier": {
                "legalName": "Rittman Mead"
            },
            "address": {
                "streetAddress": "Floor 5, Tower Point",
                "locality": "Brighton",
                "region": "UK",
                "postalCode": "BN1 1YR"
            },
            "contactPoint": {
                "email": "oliver.matthews@rittmanmead.com",
                "telephone": "+44 7766060749"
            },
            "roles": [
                "supplier"
            ],
            "details": {
                "scale": "sme",
                "url": "http://"
            }
        },
        {
            "id": "org-74",
            "name": "Dundee Sheriff Court",
            "identifier": {
                "legalName": "Dundee Sheriff Court"
            },
            "address": {
                "streetAddress": "Sheriff Court House, 6 West Bell Street",
                "locality": "Dundee"
            },
            "contactPoint": {
                "email": "dundee@scotcourts.gov.uk",
                "url": "http://"
            },
            "roles": [
                "reviewBody",
                "mediationBody"
            ]
        }
    ],
    "buyer": {
        "name": "University of St Andrews",
        "id": "org-99"
    },
    "tender": {
        "id": "BTP/270123/RT/SL",
        "title": "Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management",
        "description": "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.",
        "status": "complete",
        "items": [
            {
                "id": "1",
                "deliveryAddresses": [
                    {
                        "region": "UKM72"
                    },
                    {
                        "region": "UKM72"
                    }
                ],
                "relatedLot": "1"
            }
        ],
        "procurementMethod": "open",
        "procurementMethodDetails": "Open procedure",
        "mainProcurementCategory": "services",
        "submissionMethod": [
            "electronicSubmission"
        ],
        "submissionMethodDetails": "https://in-tendhost.co.uk/universityofstandrews/aspx/Home",
        "tenderPeriod": {
            "endDate": "2023-02-17T12:00:00Z"
        },
        "awardPeriod": {
            "startDate": "2023-02-17T12:00:00Z"
        },
        "documents": [
            {
                "id": "JAN469740",
                "documentType": "contractNotice",
                "title": "Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management",
                "description": "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.",
                "url": "https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=JAN469740",
                "format": "text/html"
            },
            {
                "id": "MAR474586",
                "documentType": "awardNotice",
                "title": "Data Pipeline - Specialist Consultancy & Build Infrastructure for Big Data Management",
                "description": "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.",
                "url": "https://www.publiccontractsscotland.gov.uk/search/show/search_view.aspx?ID=MAR474586",
                "format": "text/html"
            }
        ],
        "lots": [
            {
                "id": "1",
                "description": "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.",
                "status": "complete",
                "hasOptions": false,
                "submissionTerms": {
                    "variantPolicy": "notAllowed"
                },
                "contractPeriod": {
                    "durationInDays": 180
                },
                "hasRenewal": false
            }
        ],
        "participationFees": [
            {
                "id": "1",
                "type": [
                    "document"
                ]
            }
        ],
        "bidOpening": {
            "date": "2023-02-17T12:00:00Z"
        },
        "contractTerms": {
            "hasElectronicPayment": true,
            "hasElectronicOrdering": true
        },
        "submissionTerms": {
            "languages": [
                "en"
            ],
            "bidValidityPeriod": {
                "durationInDays": 90
            }
        },
        "classification": {
            "id": "72220000",
            "scheme": "CPV"
        },
        "hasRecurrence": false
    },
    "language": "EN",
    "description": "Further guidance and support on how to register with InTend can be found at: https://www.st-andrews.ac.uk/media/procurement/supplier-registration-portal.pdf (SC Ref:727120)",
    "links": [
        {
            "rel": "canonical",
            "href": "https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000720594"
        },
        {
            "rel": "canonical",
            "href": "https://api.publiccontractsscotland.gov.uk/v1/Notice?id=ocds-r6ebe6-0000720594"
        }
    ],
    "noticetype": "PCS Notice - Website Contract Award Notice",
    "awards": [
        {
            "id": "BTP/270123/RT/SL-1",
            "suppliers": [
                {
                    "id": "org-217",
                    "name": "Rittman Mead"
                }
            ],
            "relatedLots": [
                "1"
            ]
        }
    ],
    "contracts": [
        {
            "id": "BTP/270123/RT/SL-1",
            "awardID": "BTP/270123/RT/SL-1",
            "status": "active",
            "value": {
                "amount": 99400,
                "currency": "GBP"
            },
            "dateSigned": "2023-03-22T00:00:00Z"
        }
    ],
    "bids": {
        "statistics": [
            {
                "id": "572",
                "measure": "bids",
                "value": 2,
                "relatedLot": "1"
            },
            {
                "id": "573",
                "measure": "smeBids",
                "value": 2,
                "relatedLot": "1"
            },
            {
                "id": "574",
                "measure": "foreignBidsFromEU",
                "value": 0,
                "relatedLot": "1"
            },
            {
                "id": "575",
                "measure": "foreignBidsFromNonEU",
                "value": 0,
                "relatedLot": "1"
            },
            {
                "id": "576",
                "measure": "electronicBids",
                "value": 2,
                "relatedLot": "1"
            }
        ]
    }
}