What I Learned at the ASK Show — Why Commercial Farms Run on Data
A visit to the Nairobi Agricultural Society of Kenya show reveals the gap between data-driven commercial farms and smallholder operations. What Kenyan farmers can learn and apply.
What I Learned at the ASK Show — Why Commercial Farms Run on Data
The Agricultural Society of Kenya show is a showcase. Champion cattle with pedigree records going back five generations. Poultry operations that can tell you the FCR of every batch for the last three years. Pig breeders who know the born-alive average of every sow by parity.
For a smallholder farmer visiting for the first time, it can feel like a different world. But the gap between these commercial operations and a 10-cow farm in Kiambu or a 300-layer operation in Nakuru is not genetics or equipment. It is data.
What the commercial farms have that you do not
Walk through the livestock pavilion and talk to the exhibitors. Ask them about their animals. The answers come instantly:
"This cow produced 8,420 litres in her last 305-day lactation. She has completed three lactations with an average calving interval of 371 days. Her SCC has never exceeded 150,000."
"This sow has farrowed six times with an average of 11.8 born alive. Her wean-to-service interval averages 5 days."
"Our last broiler batch did 2.1 kg at 33 days with an FCR of 1.62 and 1.8% mortality."
These are not special farms. They are farms that record, measure, and manage by numbers.
The notebook gap
Here is the uncomfortable truth: most smallholder farmers in Kenya keep some records but cannot retrieve useful information from them.
You might have a notebook with three years of entries. But can you tell me your herd's average calving interval? Your feed cost per litre over the last six months? Which cow has cost the most in veterinary bills this year?
If the answers are buried in pages of handwriting that would take hours to compile — that is the gap. Not the data itself, but the ability to use it.
Commercial farms close this gap with systems — software, spreadsheets, or well-organised paper systems with summaries calculated regularly. The specific tool matters less than the discipline of tracking and reviewing.
Three things you can start doing today
You do not need to become a commercial operation overnight. But you can adopt three practices that commercial farms treat as non-negotiable:
1. Know your per-animal economics. Which animals make money and which cost money? Commercial farms cull aggressively because the data shows them exactly which animals are dragging down the average. You can start by tracking milk yield per cow (dairy), eggs per house (poultry), or ADG per pig (swine) — just knowing the top and bottom performers changes your decisions.
2. Track your biggest expense weekly. Feed cost per unit of production. Commercial farms obsess over this number because it is the primary lever for profitability. Calculate it weekly — total feed cost divided by total production. If it is rising, find out why before the month is over.
3. Review monthly, not annually. Commercial farms review KPIs weekly or monthly. By the time a problem shows up in an annual review, you have lost 6-11 months of potential intervention. A monthly 30-minute review of your core numbers catches problems early.
The technology is not the hard part
At the ASK show, commercial farms display impressive software dashboards. But the technology is not what makes them successful. The discipline of daily recording, weekly review, and monthly action is what makes them successful. The software just makes it faster.
A farmer with a well-organised notebook and a calculator who reviews numbers monthly will outperform a farmer with the best app in the world who never opens it.
That said, an app makes the discipline easier. Automatic calculations, trend graphs, and alerts remove the tedious parts (the arithmetic, the manual comparisons) and leave you with the valuable parts (the decisions).
The real lesson from the show
The champion animals at the ASK show are not accidents. They are the result of decades of recording, selecting, and improving — guided by data. The farmer who bred that champion cow chose her dam based on production records, selected the sire based on genetic evaluation, managed the pregnancy based on breeding records, and optimised the lactation based on daily yield tracking.
Every step was informed by a number.
Your farm may not produce show champions. But the same principle applies at any scale: the farmer who knows their numbers makes better decisions than the farmer who guesses.
Start your data journey at shira.farm.