Awarded to Civica UK Limited

Start date: Monday 28 January 2019
Value: £51,550
Company size: large
National Institute for Health and Social Care Excellence (NICE)

NICE Data Management Health Check

23 Incomplete applications

19 SME, 4 large

26 Completed applications

19 SME, 7 large

Important dates

Friday 9 November 2018
Deadline for asking questions
Friday 16 November 2018 at 11:59pm GMT
Closing date for applications
Friday 23 November 2018 at 11:59pm GMT


Summary of the work
1. Conduct an audit of current data management maturity level highlighting related risks and issues
2. Identify high-level requirements/opportunities for improved data management considering transformation goals
3. Produce a proposal of (governance, process, technology, information) improvements/mitigations to meet NICE’s needs
4. Present findings and proposals to senior decision-makers
Latest start date
Monday 28 January 2019
Expected contract length
6-8 weeks
North West England
Organisation the work is for
National Institute for Health and Social Care Excellence (NICE)
Budget range
£50 - £66k + VAT

About the work

Why the work is being done
1. To clarify for NICE the impact of not having a centrally-owned data management strategy and to outline realistic improvements or mitigation.
2. To support NICE in understanding the value of having a data management strategy that will facilitate achieving future goals and aspirations
3. To identify the technical, people, process, information barriers to forming a single cohesive strategy for data management
4. To support NICE in making better use of data by recognising the constraints, risks, issues and impact of our current level of data management
The work must be completed by 31 March 2019
Problem to be solved
Lack of data management strategy is preventing NICE from effectively sharing information internally and externally. Inconsistent language is used to describe NICE’s core business entities which is confusing for stakeholders and internally, NICE's ability to share accurate planning data and meet GDPR compliance is potentially constrained. NICE seeks to gain clarity on the impact of the lack of a centrally owned data management strategy and identification of realistic improvements and mitigations.
Who the users are and what they need to do
As senior management I want to know the key constraints and risks of the current state so that I can understand how to progress developing a single coherent 'NICE-wide' data management strategy

As Corporate Governance team I want to understand the level of risk that our current data management practices expose us to, so that I can identify and implement appropriate mitigation

As all NICE staff I want support using consistent language so that I can communicate effectively and share data across programme boundaries and externally
Early market engagement
Any work that’s already been done
Existing team
Digital services team
Data architect
Business analyst
Information governance manager
Other members as needed
There may be a need to liaise with consultants delivering aligned work on a Content Strategy Healthcheck
Current phase
Not started

Work setup

Address where the work will take place
It is expected that some work will need to be onsite at NICE's offices in Manchester and London

National Institute for Health and Care Excellence; Level 1A, City Tower, Piccadilly Plaza, Manchester,
M1 4BT

National Institute for Health and Care Excellence, 10 Spring Gardens, London, SW1A 2BU
Working arrangements
Supplier will work independently with frequent and repeated interaction with colleagues across NICE as needed.

Where suppliers are required to visit the NICE offices, travel and accommodation costs included in the bid must adhere to the NICE travel policy
Security clearance

Additional information

Additional terms and conditions

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate suppliers’ technical competence.

Essential skills and experience
  • Experience of successfully developing & implementing data management strategy
  • Experience of structuring and management of master data, reference data and metadata
  • Experience of sucessfully developing data governance structures and processes
  • Experience of sucessfully implementing and ensuring data governance, including communication
  • Experience of strategic influencing and sucessfully guiding business change in the data management context
  • Experience of sucessfully developing and implementing enterprise data transformation approaches
  • Experience of auditing and benchmarking data management against maturity models
Nice-to-have skills and experience
  • Experience of the health and social care, (including NHS and local government) domain
  • Experience integrating semantic web based (OWL, SKOS) taxonomies or ontologies into data management solutions
  • Experience of developing & implementing data management strategy sucessfully for healthcare and/or Public sector organisations

How suppliers will be evaluated

How many suppliers to evaluate
Proposal criteria
  • Delivery approach and methodology: where and how will you start the work and breakdown the problem
  • What are the proposed priorities given the budget limits and how will you approach scoping and focusing the work against these
  • Stakeholder engagement and requirements elicitation approach
  • Overview of the team to deliver the work and their mix of skills and experience
  • Proposed timescales and plan
  • Example of a case study which describes how you have supported a similar project and enabled an organisation to develop a data management strategy. (Presentation Only)
  • Describe your approach to influencing their strategy; the challenges overcome, and risks mitigated. (Presentation Only)
Cultural fit criteria
  • Describe how you work with other people (including other suppliers) (Presentation Only)
  • Describe your approach to influencing senior stakeholders particularly when you need to deliver difficult messages (Presentation Only)
Payment approach
Fixed price
Assessment methods
  • Written proposal
  • Case study
  • Reference
  • Presentation
Evaluation weighting

Technical competence


Cultural fit




Questions asked by suppliers

1. Will doing this initial audit preclude a supplier from bidding on any further related work later on?
No, suppliers will be able to bid on any future work relating to this procurement
2. Approximately how many stakeholders would need to be consulted as part of the health check? Are they all split between your London and Manchester offices or are there any other locations that may need to be visited?
We would expect to be guided by the supplier in terms of exactly the kind of person they would want to talk to. As a rough estimate approx. 20 - 40 people. Most of those will be based in Manchester but they are split across both our Manchester and London sites.
3. The summary section refers to a consideration of transformation goals. Are NICE transformation goals set out explicitly and are they published/ able to be shared?
We are currently reviewing our transformation goals and so they aren't yet published. Essentially this point refers to our aim to make better use of data to drive improvements to our products and to ensure we work as efficiently as possible.
4. Can you give a brief description about current form of data – for example, is it stored across multiple online/offline systems, technical stack used, type and typical size of data as they are many and varied.
We have data in several different systems ranging from spreadsheets, MS Access Databases to Off the shelf products and bespoke digital systems. There is not a typical type or size of data as the datasets are many and varied. We do not currently work with very large datasets however, much of our data is of the order of Gigabytes.
5. How was this data supplied/captured, what are the main internal and external data sources ?
Variable but much of the data is manually captured. Data used to inform or included as part of our products (e.g. guidance, advice, quality standards documents) can be provided to us from NHS Digital, submitted from other stakeholders or extracted from documents and processed as part of our evidence pipeline. Some of the content of our products is itself data which we generate through our guideline development processes. We also have datasets that support our processes such as contacts data, planning data, product catalogues, research registers. Data is typically generated internally either automatically by our systems or manually captured.