Analytics, Reporting & Benchmarking
Analytics: For Farmers
What Analytics changes for the person actually doing the work.
For the person running the business, the test of any farm software is whether it removes work or adds it. 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.
In their words
What the job actually looks like
These are not marketing personas. Each one is a distinct job with a distinct constraint, and the module is designed so that solving one does not create work for the others.
Farm business owner
Monthly review
Needs the whole business on one screen with the trend that matters.
- Define the metrics that matter to the business
- Build dashboards by role
- Set benchmark peer groups
- Configure alerts and thresholds
Consultant
Client reporting
Needs consistent, scheduled reports across a client portfolio.
- Build dashboards by role
- Set benchmark peer groups
- Configure alerts and thresholds
- Schedule reports to the people who need them
Supply chain partner
Supplier performance
Needs consented aggregate data from a supplier base.
- Set benchmark peer groups
- Configure alerts and thresholds
- Schedule reports to the people who need them
- Review trends with significance applied
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.
Capabilities
What Analytics does
Every capability below is built on the same underlying record, so entering something once is enough for it to appear wherever it is needed.
Record and plan
- Configurable dashboards by role, enterprise and holding
- Scheduled report generation and distribution
- Anonymised peer benchmarking with strict like-for-like grouping
Operate and monitor
- Trend analysis with statistical significance rather than year-on-year noise
- Whole-business performance view across every module
- Custom report builder with saved views
Comply and evidence
- Data export to spreadsheet and business intelligence tools
- Aggregate sector analytics with disclosure control and minimum group sizes
- Supply chain partner reporting under explicit consent
Analyse and improve
- Public interest reporting for policy and research with governance oversight
- Alert rules on any metric with escalation
- Performance narrative generation summarising what changed and why
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
-
Action needed
Re-identification from aggregate data
mitigated by minimum group sizes and disclosure control
-
For information
Benchmark comparability
mitigated by strict grouping rules
-
For information
Metric overload
mitigated by role-based default dashboards
Worked example
How a business like yours would use Analytics
The problem: Needs the whole business on one screen with the trend that matters.
What they do
- Define the metrics that matter to the business
- Build dashboards by role
- Set benchmark peer groups
- Configure alerts and thresholds
What changes
- Dashboards in active use
- Reports delivered on schedule
- Benchmark participation
This is an illustrative worked example built from the module design, not a customer reference. Named case studies are published only with the business's written consent.
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.
Measurement
How you will know it is working
The module reports against these measures from the day it is switched on, so the value is demonstrable rather than assumed.
- 01Dashboards in active use
- 02Reports delivered on schedule
- 03Benchmark participation
- 04Alerts leading to action
- 05Aggregate datasets published under governance
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.