The Opportunity

A UK-wide funding ecosystem sought to improve how operational data is used to generate insight, strengthen accountability, and demonstrate impact across a diverse landscape of participating organisations.

The funding ecosystem operates through multiple distributors and delivery bodies with differing operating models, programme types, governance arrangements, and levels of data maturity. A single, standardised approach risked misrepresenting delivery realities and creating unnecessary administrative burden.

RedRock was engaged to support the early discovery phase of a cross-organisational data strategy and standards initiative across the funding ecosystem, focusing on how data is created, used, and constrained among participating organisations.

Key Challenges

• Wide variation in programme types, delivery scales, and operational approaches across the funding ecosystem.
• Data frequently captured in narrative or unstructured formats, limiting reuse and analysis.
• Location and recipient data often used as proxies rather than true representations of delivery or impact.
• Legacy systems and established governance arrangements within the funding ecosystem slowing the pace of change.
• Balancing improved insight with proportionality and minimal burden on applicants and delivery partners.

Our Approach

RedRock adopted a discovery-first, evidence-led methodology to understand operational realities across the funding ecosystem before recommending solutions:

• Conducted structured interviews with participating organisations across the funding ecosystem to explore how data is captured, interpreted, and constrained in practice.
• Applied a common discovery framework to support comparability while respecting organisational context within the funding ecosystem.
• Examined themes including location data, recipient identification, taxonomy, and classification, highlighting operational trade-offs.
• Separated discovery from solution design, grounding findings in lived operational experience rather than aspirational models.
• Iteratively refined engagement based on stakeholder feedback from across the funding ecosystem to ensure relevance and productivity.

Key Insights

• Data structure and usability, rather than data volume, were the primary constraints on generating insight across the funding ecosystem.
• Location and recipient data were often proxies, complicated by intermediaries and federated delivery models within the funding ecosystem.
• Taxonomy and standards were widely recognised as valuable, but adoption was constrained by organisational culture, perceived burden, and readiness rather than technology alone.
• Legacy systems and governance processes limited the pace and feasibility of change across the funding ecosystem.
• Proportional, staged approaches were essential to maintain local flexibility and organisational buy-in.

Outcomes and Value

RedRock’s discovery work provided the funding ecosystem with:

• A clear, evidence-based understanding of current data realities across participating organisations.
• Defined constraints and requirements to inform practical and realistic data strategy decisions.
• Improved alignment between strategic ambition and operational feasibility.
• A foundation for developing adoptable, proportionate data standards and guidance.

By focusing on discovery rather than prescription, RedRock helped ensure that future data strategy development across the funding ecosystem would be credible, practical, and supported by participating organisations.

Status

Discovery phase complete, with insights informing the development of cross-organisational data strategy and standards options across the funding ecosystem.