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.
Background
National Grid has established a People Analytics capability using SAP Datasphere, Power BI, and internal engineering resources. Whilst this has delivered workforce insights, the current model is heavily engineering-led, fragmented across multiple systems, and primarily focused on retrospective reporting.
The organisation is seeking a modern SaaS-based workforce analytics platform that reduces engineering dependency and delivers integrated workforce insight across HR, skills, planning, learning, and operational domains. The target capability includes advanced analytics, predictive insights, scenario modelling, AI-enabled narrative insights, and a governed workforce data model supporting scalable and sustainable analytics across multiple enterprise systems.
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 central 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 Capability
The 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, and effective 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.