Source transparency
Every research output should identify source types, collection period and material limitations.
Raeburn Institute for Enterprise Technology
Research designed to be challenged.
Open methodologies, evidence frameworks, machine-readable research artefacts and a flagship annual programme.
Flagship programme · 2027
State of UK Enterprise Technology 2027
Annual evidence programme covering AI, automation, data, CRM, SaaS, integration, cyber governance, legacy technology, skills and technology value. Findings wait for sufficient evidence.
View programmeIndex methodology
Enterprise Technology Index
Pre-published 0–100 composite methodology with fixed dimensions and publication gates.
View index methodologyOpen evidence
Open Research Data
Machine-readable dictionaries now; empirical aggregate datasets only when real evidence and disclosure controls permit.
Open data cataloguePublished methodology · 2026
Digital Maturity Measurement Framework
Read methodologyPublished framework · 2026
SaaS Duplication Risk Framework
Read frameworkObservation ≠ estimate
Observed data, modelled values, scenarios and forecasts are labelled separately.
Reproducible methods
Publish scoring rules, definitions and calculation logic where practical.
Revision history
Material corrections and methodology changes are dated rather than silently overwritten.
Privacy by design
Client-derived data is not silently repurposed for research; research evidence is governed appropriately.