IBM SPSS LICENSING SOLUTIONS - PUBLIC HEALTH WALES
Planning · United Kingdom
Source: Find a Tender Service (UK)
Public Health Wales (PHW) currently uses IBM SPSS Statistics to support a range of public health, research, analytical, evaluation and intelligence functions across the organisation. The primary objective is to identify the most cost-effective, flexible and sustainable licensing model that enables continued access to the required SPSS functionality whilst delivering value for money. This exercise
- Status
- Prospective
- Sector
- Broadband, Road, Telecommunications, Commercial
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Find a Tender Service (UK)
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Status
Original status | planning |
Taiyo status | Prospective |
Taiyo last update | 2026-11-03 |
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Description
Description | Public Health Wales (PHW) currently uses IBM SPSS Statistics to support a range of public health, research, analytical, evaluation and intelligence functions across the organisation. The primary objective is to identify the most cost-effective, flexible and sustainable licensing model that enables continued access to the required SPSS functionality whilst delivering value for money. This exercise is intended to help PHW better understand: • Available IBM SPSS licensing models. • Opportunities to improve value for money. • NHS and public sector pricing arrangements. • The relative merits of perpetual and subscription licensing. • The benefits and drawbacks of concurrent-user and named-user licensing. • Enterprise and organisational licensing options. • Opportunities to introduce greater flexibility where user numbers fluctuate throughout the year. • Available discounts and commercial arrangements. This exercise is being conducted solely for information-gathering purposes and does not constitute a formal procurement process or commitment to purchase. Please contact bethan.dyke@wales.nhs.uk for a copy of the PME document for completion. |
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Location
Country | United Kingdom (UK) |
Source
Source | Find a Tender Service (UK) |
URL |
More Details
Record type | Tender |
Sector | Broadband, Road, Telecommunications, Commercial |
Article published date | 2026-10-16 |
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