Analytics, Reporting & Benchmarking
Analytics: How It Works
The end-to-end sequence, stage by stage, with nothing skipped.
The module is modelled as an explicit state machine with 8 stages. Every record knows which stage it is at, what has to happen to move on, and what is blocking it if it cannot. 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.
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.
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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.
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2
Build dashboards by role
The platform prompts only for what this stage genuinely needs, and carries everything forward.
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3
Set benchmark peer groups
Conflicts with scheme rules, regulatory windows and existing commitments are flagged here rather than discovered later.
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4
Configure alerts and thresholds
Capture works offline, so this stage is completed in the field rather than remembered afterwards.
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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.
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6
Review trends with significance applied
This is the stage most businesses currently do twice, once for the operation and once for the paperwork.
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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.
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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.
Sequence
The order things happen in
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Stage 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.
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Stage 2
Build dashboards by role
The platform prompts only for what this stage genuinely needs, and carries everything forward.
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Stage 3
Set benchmark peer groups
Conflicts with scheme rules, regulatory windows and existing commitments are flagged here rather than discovered later.
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Stage 4
Configure alerts and thresholds
Capture works offline, so this stage is completed in the field rather than remembered afterwards.
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Stage 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.
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Stage 6
Review trends with significance applied
This is the stage most businesses currently do twice, once for the operation and once for the paperwork.
Before you start
What you will need, and what the module handles for you
Most of this comes across automatically once your holding is registered. The list is here so nothing arrives as a surprise.
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.
Working view
Analytics, at a glance
The numbers you would check before doing anything else in analytics. Each one is live against your own record, and each one tells you where it came from.
Choose a view
Dashboards in active use
50
+5.0%
Reports delivered on schedule
24
+3.0%
Benchmark participation
9
+5.0%
Alerts leading to action
26 days
−5 days
target under 22
Aggregate datasets published under governance
3
+4.0%
What needs attention
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Action needed
Re-identification from aggregate data
mitigated by minimum group sizes and disclosure control
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For information
Benchmark comparability
mitigated by strict grouping rules
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For information
Metric overload
mitigated by role-based default dashboards
Questions answered
What people ask about Analytics
Does this replace the software I already use?
Not necessarily. Agrivencia integrates with authoritative sources and mainstream packages rather than insisting on replacing them. Where an incumbent does one job well, the platform connects to it; where the job spans several systems and nobody does it, the platform does it.
Will it work where I have no signal?
Yes. Field capture in Analytics is offline first, storing locally and synchronising when a connection returns. Only around a fifth of UK farms report reliable signal across the whole holding, so this is a design assumption rather than a feature.
What happens when the scheme rules change?
Scheme rules are held as data rather than code, so a rate change, a cap change or a window closure is a content update that takes effect the same day. The platform also alerts you to what the change does to your own position.
Who owns the data I put in?
You do. The Farm Data Charter gives you a complete export in open formats at any time, and every instance of data sharing requires an explicit, revocable consent that is visible in your account.
Does it work if I farm across a border?
Yes, and that is one of the main reasons the platform exists. A business with land in more than one nation sees one reconciled view rather than two portals, with obligations and deadlines from both administrations in a single calendar.
Can my agronomist or land agent use it too?
Yes. You grant scoped, time-limited access per holding and per module, and you can revoke it in one click. Advisers never get a shared password or a blanket view.
What is the biggest limitation of this module?
Re-identification from aggregate data. Mitigated by minimum group sizes and disclosure control. We would rather state that plainly than let you discover it after signing.
What we are hearing
The problems people describe to us
These are composite statements drawn from user research conversations, not attributed customer quotes. We publish named references only with written consent.
I am not short of software. I am short of one place where the same field means the same thing in all of it.
The scheme closed on a Tuesday evening. I had the application half built. Nobody told me the budget was nearly gone.
We farm on both sides of the border. Everything takes twice as long and I still cannot see the whole position on one screen.
Audit week costs me three days. Every single record they ask for is already written down somewhere on this farm.
See Analytics running on your own holding
Thirty minutes, using your parcels, your schemes and your enterprises rather than a sample farm. No obligation and no sales script — if it does not fit your business we will say so.
- Free tier available
- No card required
- Your data stays yours