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HR-People Analytics SaaS Platform

National Grid UK Limited

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Key details

Contracting authority
Region
London
Delivery: United Kingdom, United Kingdom
Contract value
£1,250,000ex VAT
£1,250,000 inc VAT
Deadline
11 June 2026
Enquiry deadline
11 June 2026(questions / clarifications)
Award decision
31 August 2026(estimated)
Published
8 June 2026

Procurement

Contract period
2 September 2026 - 1 September 2028
2 years
Possible extension to 1 September 2030 · 3 years, 11 months in total
Extension terms: The contract shall be extendable for a maximum of 2 years
Procedure type
Competitive flexible procedure
CPV classifications
  • 48000000 Software package and information systems

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What happened

The contract runs until 1 Sept 2028.

Description

National Grid is seeking to secure a contract for the

provision of procurement of a HR People Analytics

SaaS Platform

The service being sought is Software as a Service

(SaaS)

The software should be a commercial off the shelf

product.

Summary

The goal is to establish a scalable, enterprise-grade

SaaS People Analytics capability that provides a

unified, governed view of workforce data and

integrates insights across HR, skills, workforce

planning systems. The project introduces a cross

system analytical layer that improves how

workforce insight is generated, accessed, and

applied, enabling more consistent, timely, and

decision-oriented analysis to support strategic

workforce decisions.

Scope

National Grid is seeking an enterprise-grade

workforce analytics platform that moves beyond

traditional HR reporting to deliver advanced

workforce insights, predictive analytics, scenario

modelling, and decision support across the

organisation.

The organisation requires a scalable and

sustainable SaaS-based capability that supports:

  • A governed workforce data model and reliable

historical workforce analytics

Advanced and explainable AI-enabled analytics

and correlation analysis

  • Narrative-led and executive-ready workforce

insights

  • Operational workforce planning and organisational

change analysis

  • Interoperability with SAP SuccessFactors,

OrgVue, and adjacent enterprise platforms

  • Cross-domain workforce insight spanning HR,

skills, learning, planning, and operational data

  • Reduced dependency on engineering and centraal

analytics teams through intuitive self-service and

AI-enabled insight capability

Whilst strategic workforce planning remains

delivered through an existing supplier (Orgvue), the

solution must integrate effectively with workforce

planning processes and support operational

forecasting, workforce modelling, and insight

generation aligned to broader business priorities.

AI governance is considered a core requirement

and must be supported through transparent

controls, monitoring, explainability, and operational

governance processes.

Functional Scope

The following product capability areas will be

assessed

1. Workforce Data Model & Governance

The platform must provide a governed workforce

data model supporting accurate historical workforce

analytics, effective-dated data management, cross

organisational workforce modelling, metric

governance, and transparent data lineage to ensure

workforce insight remains consistent, auditable, and

reliable as organisational structures and data

sources evolve.

2. Advanced Analytics & AI CapabilityThe platform must provide advanced analytics and

AI-enabled workforce insight capability supporting

predictive modelling, correlation analysis, scenario

simulation, and workforce risk analysis. AI

capabilities must include appropriate governance,

explainability, bias monitoring, model lifecycle

management, and operational controls to ensure

responsible and sustainable use of predictive

analytics.

3. Interoperability & Multi-System Capability

The platform must integrate effectively within

National Grid's broader technology ecosystem,

including SAP SuccessFactors and adjacent

workforce systems. The solution must support

multi-system workforce data integration,

interoperability across HR, skills, learning, planning,

and operational platforms, and secure API-based

data exchange to enable consistent and connected

workforce insight.

4. Core Reporting Foundation

The platform must provide a reliable foundation for

workforce reporting and operational analytics,

including interactive dashboards, flexible filtering

and drill-down capability, automated report

distribution, and controlled data sharing to support

consistent operational workforce insight.

5. Insight Experience & Narrative Layer

The platform must support generation of meaningful

workforce insight through guided analytics,

narrative explanations, root-cause exploration, and

intuitive visualisation, enabling HR and business

users to move beyond static reporting to actionable

and decision-oriented workforce insight.

6. Operating Model Sustainability & BAU Support

The platform must support a sustainable and low

complexity operating model with minimal

dependency on specialist engineering resources.

The solution must enable efficient administration,

flexible configuration, controlled upgrade

management, responsive vendor support, andeffective knowledge transfer to support long-term

operational sustainability and maintainability.

Project Deployment scope

National Grid intends to implement a SaaS-based

workforce analytics platform that delivers improved

workforce insight, advanced analytics capability,

narrative-led insight, and reduced engineering

dependency beyond the current PeopleDataHub

reporting model.

The initial deployment phase is expected to

establish:

  • Core SAP SuccessFactors integrations and

workforce data model

  • Security, governance, and administration

processes

  • Workforce analytics capability broadly aligned to

current reporting coverage

  • Closure of key workforce, skills, and learning

analytics gaps

  • Early adoption of advanced analytics, AI-enabled

insight, and narrative capabilities

  • Transition of HR analytics users to the new

platform

The platform should support progressive integration

of additional workforce and operational data

sources, including ServiceNow, Qualtrics, and

learning platforms.

Subsequent phases are expected to expand

analytics coverage, predictive and scenario

modelling capability, bespoke National Grid

analytics, and broader business adoption

Contact

Address
1-3 Strand, London, WC2N 5EH
Contact name
CORA RUSSELL

Bid documents

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Identifiers

Buyer reference
WS5646629656
Notice ID
053729-2026
OCID
ocds-h6vhtk-06a31c
Companies House
PPON
PGTR-4481-CJPQ

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External ID: fts-ocds-h6vhtk-06a31c • Added 26 May 2026