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Benchmarking
Trusted comparison
Validated datasets
Standardised model
Dashboard insights
The Challenge
Collecting data is only the first step. The real value comes from understanding how growers compare across a programme, identifying trends and recognising opportunities for improvement.
Many organisations still rely on spreadsheets assembled from different sources, making comparisons difficult because data is inconsistent, incomplete or structured differently.
Without trusted benchmarking, it is difficult to understand programme performance, demonstrate outcomes or identify where support will have the greatest impact.
How YAGRO Solves It
Multiple data sources
Information is collected from programme systems, uploads and trusted external sources.
Validation
Data is checked for completeness, accuracy and consistency before comparison.
Canonical data model
IQ transforms information into a shared structure so every participant is measured consistently.
Benchmark calculations
Performance metrics are calculated across sustainability, financial, emissions and operational measures.
Interactive dashboards
Canvas helps users filter, group and explore performance across programmes.
Insights and decisions
Teams identify trends, opportunities and best practice using trusted comparisons.
Confidence across growers
Because every participant is measured using the same underlying framework, organisations can compare performance with confidence regardless of where the data originated.
Key Capabilities
Validated datasets
Canonical data models
Anonymous benchmarking
Performance comparisons
Interactive dashboards
Regional comparisons
Programme comparisons
Trend analysis
Filtering and segmentation
Custom metrics
Exportable reports
Secure permissions
Typical Workflow
1
Collect data from multiple sources
2
Validate and standardise information
3
Transform into a canonical data model
4
Compare performance across growers
5
Explore trends through dashboards
6
Share insights with programme teams
Business Outcomes
Identify top-performing growers
Understand programme performance
Support evidence-based decisions
Reveal trends over time
Improve grower engagement
Who Uses This
Food manufacturers
Grain merchants
Agronomists
Producer groups
Research organisations
Sustainability teams
Products Used
Example Implementation
Rather than combining spreadsheets from different sources, data was validated, standardised and transformed into a common structure before benchmarking was performed. Programme managers could compare growers across multiple indicators, identify trends within different regions and understand where additional support would deliver the greatest benefit. Interactive dashboards provided a consistent view of programme performance while maintaining appropriate permissions and protecting participant confidentiality.
Validated and standardised datasets
Trusted comparisons across programme indicators
Permissions that protect participant confidentiality
Frequently Asked Questions
What can be benchmarked?
Can data from different systems be compared?
Can growers only see their own information?
Can benchmarking be anonymised?
Can dashboards be filtered?
Can benchmarking support sustainability reporting?
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