Driving Global Higher Education Improvement Through Analytics
Reputation Management
The Challenges
- Treating reputation as an uncontrollable "black box."
- Low conversion rates for GDPR consent requests.
- Internal faculty fatigue and outdated contact lists.
- Lack of proactive strategy for invite-only surveys.
Our Approach
RFVQ Affinity Scoring
Proprietary algorithm identifying global academics with genuine, evidence-based affinity for your institution.
Unified Outreach
Consolidated database of 3,000+ advocates and pre-tested communication frameworks for dual-survey efficiency.
The Results
- Improved reputation metrics.
- Maximum ROI on reputation weighting.
- Targeted, measurable marketing.
- Strategic board-level reporting.
Publication Strategy
The Challenges
- Difficulty in moving the dial on research quality.
- Pinning down root causes due to numerous variables.
- Citation count as a weak, contextless measure.
Our Approach
Diagnostic Review
Bibliometric analysis of papers from the last 5 years to map quality and influence origin.
Enablement
"Publication Assist" service to identify and target high-impact journals effectively.
The Results
- Improved research metrics.
- Optimized ranking position.
- Improved brand recognition.
- Optimized research spend.
Strategic Partnerships
The Challenges
- Validating meaningful partnership impact.
- Aligning collaborations with institutional goals.
- Escaping researcher "comfort zones."
- Inactive MOUs that lack measurable action.
Our Approach
Discovery
Clarifying institutional goals and mapping current collaboration networks.
AI-Driven Analysis
Utilizing bibliometrics and AI to determine the true potential of existing relationships.
The Results
- Strategic partner mapping.
- Mutual benefit identification.
- Maximizing partnership returns.
- Clearer value articulation.
Talent Analytics
The Challenges
- Identifying tomorrow's research stars today.
- Intense competition for established talent.
- Overcoming brand barriers in recruitment.
Our Approach
Strategic Audit
Auditing priority research areas and performing high-potential bibliometric analysis.
Forecasting
AI forecasting to identify future influencers and academic leaders.
The Results
- High-potential identification.
- Improved retention of stars.
- Pinpointed talent strategies.
- Overcoming recruitment barriers.