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Milk processing companies · HR reporting and analytics

HR reporting and analytics for Milk processing companies: absence, turnover and overtime by shift

Plant reports are full of litres, yield and downtime, but people numbers often sit in a separate file. Reading them side by side shows where staffing, not machines, is behind a problem.

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Why HR reporting and analytics matters in milk processing companies

A dairy plant can tell you the yield of the day and the rejects of the week. It cannot always tell you which shift had the most absences, how much overtime was worked on the packing line, or how many new joiners left within a month. When a problem appears, the plant blames machines or milk quality, and people factors are missed.

A short monthly people report, by shift and line, closes this gap. Absence, overtime, joiners and leavers, and training done are placed next to yield, rejects and downtime. Patterns appear: the line with the highest overtime has the most rejects, or the shift with the newest staff has the most hygiene lapses.

How to set it up

  1. 1. Choose five people numbers

    Absence, overtime hours, joiners, leavers and training sessions held, each by shift and line.

  2. 2. Collect them from existing sheets

    Take attendance, overtime and joining records already kept, and put them in one table each month.

  3. 3. Place them next to plant figures

    Add yield, rejects and downtime for the same shift and line, so patterns are easy to see.

  4. 4. Discuss in the monthly review

    Spend ten minutes on what the figures suggest with the plant head and in-charges. Avoid blame; ask what is behind it.

  5. 5. Act on one finding

    Pick one clear pattern and make a change, then check the next month. See the performance management process.

Check these first

Before changing anything, find out what is true today. These take an afternoon and use your own records.

  • Ask which shift had the highest absence last month and see how quickly you can answer.
  • Check that overtime hours are recorded by line and not only by person.
  • See whether leavers within the first month are counted anywhere.
  • Look for any pattern between a shift's staffing and its rejects.

GullyHR can do this with you. Read how we approach HR reporting and analytics in general, or share your requirements and we will tell you where to start.

Questions owners ask

Absence, overtime, new joiners who leave early and training done, by shift and line. These show strain and skill gaps before output drops.

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