Analytics, Reporting & Benchmarking
Analytics: Overview
The short version of what Analytics does and why it exists.
Every module generates data; this module turns it into decisions. Configurable dashboards, scheduled reports, anonymised peer benchmarking and — for government and supply chain partners with the appropriate agreements — aggregate, privacy-preserving analytics that no single farm could produce alone.
Detail
Why Analytics exists
Every module generates data; this module turns it into decisions. Configurable dashboards, scheduled reports, anonymised peer benchmarking and — for government and supply chain partners with the appropriate agreements — aggregate, privacy-preserving analytics that no single farm could produce alone.
Public bodies have acknowledged gaps in outcome data limiting their ability to understand whether farming spend delivers value for money. Aggregate, consented, privacy-preserving platform analytics are one of the few genuinely new evidence sources available, provided the consent and anonymisation are real rather than nominal.
Everything Analytics records is written into the same platform data spine as every other module, which is why a single entry can satisfy an operational need, a scheme evidence requirement, an assurance clause and a carbon activity line at once. That is the whole design premise: the work is already being done, and it is the recording of it that is duplicated.
The ground reality
What is actually happening in analytics in the UK
Public bodies have acknowledged gaps in outcome data limiting their ability to understand whether farming spend delivers value for money. Aggregate, consented, privacy-preserving platform analytics are one of the few genuinely new evidence sources available, provided the consent and anonymisation are real rather than nominal.
Figures are as published at the time of writing. Farm policy and payment rates change frequently — verify against the primary source before relying on any number here.
In the field
Analytics, as it actually looks
Photography from working UK holdings alongside the interface that records it. Every frame below is a commissioned slot: the brief is stated until the photograph is taken.
Analytics — a walkthrough
A working pass through analytics: entering the record once, and watching it appear in the evidence pack, the calendar and the scheme application without being typed again.
- 0:00 What the module is for
- 0:48 Entering the record
- 2:05 Where it appears next
- 3:20 The evidence pack
Photography slots state their own brief until the shot is commissioned, so the layout never shifts when real images arrive.
In practice
Six things Analytics changes on day one
None of these requires a new process. They all come from recording the work you already do, once, in a form the rest of the platform can use.
Configurable dashboards by role, enterprise
Configurable dashboards by role, enterprise and holding.
Scheduled report generation and distribution
Scheduled report generation and distribution.
Anonymised peer benchmarking with strict
Anonymised peer benchmarking with strict like-for-like grouping.
Trend analysis with statistical significance
Trend analysis with statistical significance rather than year-on-year noise.
Whole-business performance view across every
Whole-business performance view across every module.
Custom report builder with saved
Custom report builder with saved views.
End to end
How Analytics runs, start to finish
The module is modelled as a state machine, so at any point the business knows exactly which stage every record is at and what has to happen next.
-
1
Define the metrics that matter to the business
This is where the record starts, and getting it right here removes work at every later stage.
-
2
Build dashboards by role
The platform prompts only for what this stage genuinely needs, and carries everything forward.
-
3
Set benchmark peer groups
Conflicts with scheme rules, regulatory windows and existing commitments are flagged here rather than discovered later.
-
4
Configure alerts and thresholds
Capture works offline, so this stage is completed in the field rather than remembered afterwards.
-
5
Schedule reports to the people who need them
Everything recorded at this point becomes evidence automatically, in every format that will later ask for it.
-
6
Review trends with significance applied
This is the stage most businesses currently do twice, once for the operation and once for the paperwork.
-
7
Share externally only under explicit consent
Results feed the whole-farm view, so the effect of this stage is visible against the rest of the business.
-
8
Refine metrics as the business changes
The cycle closes here, and what is learned is carried into next season's plan rather than lost.
How we handle evidence
Where these figures come from
Agrivencia grades every figure it publishes. Primary legislation, official statistics and audit reports are treated as authoritative. Levy body and professional body data is treated as reliable. Commercial trackers and trade press are treated as indicative and labelled as such. Where sources conflict, the conflict is shown rather than resolved silently.
- Authoritative Legislation, statutory instruments, official scheme rules, national audit and public accounts reporting, departmental annual reports and accredited official statistics.
- Reliable Parliamentary committee evidence, peer-reviewed research, independent economic institutes and levy body analysis.
- Supporting Professional bodies, land agents, certification schemes and industry associations.
- Indicative Commercial market trackers and trade press, used for corroboration only and always labelled.
Payment rates, caps and windows in UK farm support change frequently and sometimes without notice. Nothing on this platform is a substitute for the current published scheme rules or for professional advice.
See it working
Book a demonstration on your own holding data
Thirty minutes, using your parcels and your schemes rather than a sample farm, so you can judge it on your own numbers.