Efficient data management in the hatchery

Tags: Hatchery management | Whitepaper

Written by Lotte Hebbink, 19 February 2019

Efficient data management in the hatchery

Optimising hatchery performance requires good data management. Data can be stored in various ways, ranging from simple Excel sheets to sophisticated data management software. It is also not uncommon for a large part of the hatchery’s data to still only be on paper. That's a pity, because this data is much more valuable for data analysis when it is digitally stored in the right way.

Basic data entries

Here we look at the most basic hatchery data collection. We assume that in each hatchery for each batch of eggs the following is known:

  • Flock number, farm, house number, flock age, breed
  • Egg production date
  • Arrival date in hatchery
  • Setting and hatch date
  • Number of eggs set
  • Number of clears detected during candling
  • Number of saleable chicks (and ideally also number of culled chicks)

These data can be used to calculate hatch results such as hatchability of eggs set and hatch of transfer. The data is often recorded on separate pages for each hatch day. This might be a great way to report daily production, but it does not allow for deeper analysis such as identification of the best breeder farms, effect of flock age and egg storage time on hatchability, hatchery performance compared to the previous year, comparison of incubation programs, and so on. One has to flip through endless pages and it is difficult to obtain a good overview of historical data.

Design data sheets

Hatchery data sheets that are generated on a daily and/or weekly basis usually have a dual purpose: they serve as data entry tables and as reports. In addition, data from different hatchery production processes and calculations are put together on one page to obtain a summarising table. Although this may seem efficient, it actually makes data management unnecessarily complex. When preparing these data for analysis you will encounter problems such as multiple data repetitions with differences in detail level, copy/paste errors and non-uniform data entries.

It is more convenient to separate basic data entry tables from daily or weekly summary reports. An example of a basic data entry table can be found in Table 1. As you can see, amounts (#) are used instead of calculations (%). A separate report should contain calculations, e.g. hatch of eggs set, days of egg storage, % first week mortality, and these can be generated daily or on request. Ideally, for quick analysis using a program such as Excel, data entries like those in Table 1 should be made in one large continuous file instead of a new file for each hatching day.

Set date Hatch date # Eggs Setter Flock ID Breed Flockage Lay date # Clears # Saleable chicks # Culls
21-2-2019 14-3-2019 57600 2 56 A 45 16-2-2019 5184 49795 150
21-2-2019 14-3-2019 57600 2 41 A 47 13-2-2019 5760 48730 250
25-2-2019 18-3-2019 57600 3 23 B 35 20-2-2019 4608 51402 100
25-2-2019 18-3-2019 57600 3 14 B 36 20-2-2019 4896 51650 95

Table 1. Example of a format for basic hatchery data entries

Link files together

Very often data is scattered over several files, as it is here in Tables 1 and 2. If you take a closer look at these tables, you will see that the detail level is different. Keep the data in separate files but use a common column to link the two tables together. In this example you can link them with the ‘Hatch date’ and ‘Flock ID’ columns. 

Hatch date Flock ID Placement farm House # Chicks placed # 7d Mortality
14-3-2019 56 Farm B 1 20000 200
14-3-2019 56 Farm B 2 15000 75
14-3-2019 56 Farm F 1 14000 140
14-3-2019 41 Farm Y 1 35000 196
14-3-2019 41 Farm Y 2 14000 490
18-3-2019 23 Farm A 1 25000 375
18-3-2019 23 Farm A 3 24500 221
18-3-2019 14 Farm D 2 33000 297
18-3-2019 14 Farm D 3 20500 205

Table 2. Example of an additional data table


  • Make the names of the data fields consistent when using different files with overlapping data.
  • Do not combine basic data entries and daily production reports in one table.
  • Use amounts and dates when entering data; don’t enter calculations directly.
  • For simple analysis you can use Excel Pivot Tables or Graphs.


Written by Lotte Hebbink

Incubation specialist

I welcome your feedback on this article - and if you require any additional information, please don't hesitate to contact me.