D3 Tenders | UHB Data Wrangling Tool

Notice Information

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Notice Title

UHB Data Wrangling Tool - Market Engagement

Notice Description

University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest teaching hospital Trusts in England and the West Midlands, serving a regional, national and international population. It includes Birmingham Heartlands Hospital, Birmingham Chest Clinic, Good Hope Hospital, the Queen Elizabeth Hospital Birmingham, Solihull Hospital and various Community Services. We also run a number of smaller satellite units, allowing people to be treated as close to home as possible. As an NHS organisation, UHB will see and treat more than 2.2 million people every year across our sites UHB currently employs over 20,000 members of staff and we are committed to investing in their development and their health and wellbeing. The purpose of this Prior Information Notice is to enable UHB to gain a better understanding of what sort of providers and how many exist in the market, and improve the confidentiality, integrity, availability and authenticity of its systems and infrastructure. Suppliers who are able to offer a solution relevant to this requirement are invited to express an interest and respond to a market engagement questionnaire. Further details on how to do this are contained within the additional information section of this notice.

Lot Information

Lot 1

The Trust is collecting more data in different formats (internal/external, structured/unstructured), which is both sensitive and highly confidential.

The Trust has forthcoming implementations of Cloud-based ERP (transactional data), EPM (managerial data) systems, and other updated applications. Strategically the Trust is moving to a "Cloud first" approach to upgrade the legacy IT estate, and we require a mechanism for the safe implementation of these platforms and tools. Thus policies and procedures that provide the Trust control of our business data, both in the Cloud and in setups where data is stored or sourced in a combination of Cloud and on-premise, are required.

ERP systems use automation and predefined business logic to orchestrate processes. All processes in an ERP, without exception, rely on the quality and reliable data. If the data is missing, the process will stop. If the data is wrong or incomplete, the process will produce unexpected results requiring remediation.

It needs to be acknowledged that data will become the biggest challenge to the ERP programme and appropriate and knowledgeable resources equipped with capable tools must be on-boarded immediately which is where the data wrangling tool is needed.

It is widely accepted that the success of the ERP migration will depend on the availability of quality data to be migrated, therefore a data wrangling tool is needed to obtain the data being migrated more efficiently.

To access, review, investigate and resolve data integrity, validity and quality issues and combine data from numerous sources in a rapid timeframe, there is a need for appropriate software to deliver specific capabilities.

Below is a concise list of minimal data-wrangling capabilities needed for data analysis and profiling activities: (See Requirements & Briefing Note/ Annex 1 documents)

Potential bidders are asked to note that the route to market has not yet been decided and therefore the procurement timetable has not been finalised. The Authority will make a final decision on the most appropriate route market following this engagement exercise. This may be a direct award via an existing public sector framework agreement or alternatively, the Authority may decide to run a competitive process via a mini-competition under a framework or an openly advertised procedure. If the latter, the publication of the ITT will include the publication of a Contract Notice, a Contracts Finder notice, and the ITT documents will be published on the Authority' Atamis e-tendering system.

Notice Details

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Publication & Lifecycle

Open Contracting ID: ocds-h6vhtk-03bc5d
Publication Source: Find A Tender Service
Latest Notice: https://www.find-tender.service.gov.uk/Notice/009784-2023
Current Stage: Planning
All Stages: Planning

Procurement Classification

Notice Type: Planning Notice
Procurement Type: Standard
Procurement Category: Services
Procurement Method: Not Specified
Procurement Method Details: Not specified
Tender Suitability: Not specified
Awardee Scale: Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions: 72 - IT services: consulting, software development, Internet and support
CPV Codes: 72000000 - IT services: consulting, software development, Internet and support

Notice Value(s)

Tender Value: Not specified
Lots Value: Not specified
Awards Value: Not specified
Contracts Value: Not specified

Notice Dates

Publication Date: 4 Apr 20233 years ago
Submission Deadline: Not specified
Future Notice Date: 25 May 2023Expired
Award Date: Not specified
Contract Period: Not specified - Not specified
Recurrence: Not specified

Notice Status

Tender Status: Planned
Lots Status: Planned
Awards Status: Not Specified
Contracts Status: Not Specified

Buyer & Supplier

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Contracting Authority (Buyer)

Main Buyer: UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST
Contact Name: Available with D3 Tenders Premium →
Contact Email: Available with D3 Tenders Premium →
Contact Phone: Available with D3 Tenders Premium →

Buyer Location

Locality: BIRMINGHAM
Postcode: B15 2WB
Post Town: Birmingham
Country: England
Major Region (ITL 1): TLG West Midlands (England)
Basic Region (ITL 2): TLG3 West Midlands
Small Region (ITL 3): TLG31 Birmingham
Delivery Location: TLG West Midlands (England)
Local Authority: Birmingham
Electoral Ward: Edgbaston
Westminster Constituency: Birmingham Edgbaston

Further Information

Notice URLs

Open Contracting Data Standard (OCDS)

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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.

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