Data Analysis Fun: Helping Cow Industrials Ltd Reduce Absenteeism

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SUMMARY

Cow Industrials Ltd is facing significant absenteeism issues among its production workforce, leading to substandard product quality and delayed deliveries. The Production Manager has identified a strong correlation between absenteeism and production output. An analysis of a sample of ten employees, focusing on age, holiday entitlement, and hourly pay grade, is necessary to understand the factors contributing to absenteeism. Immediate action is required to present findings to the Board of Directors within a week to prevent customer loss.

PREREQUISITES
  • Understanding of statistical analysis methods
  • Familiarity with employee data metrics (age, pay grade, holiday entitlement)
  • Knowledge of correlation analysis
  • Proficiency in data visualization tools (e.g., Excel, Tableau)
NEXT STEPS
  • Conduct a statistical analysis of absenteeism data using correlation coefficients
  • Explore data visualization techniques to present findings effectively
  • Research employee engagement strategies to reduce absenteeism
  • Investigate industry benchmarks for absenteeism rates in manufacturing
USEFUL FOR

Information analysts, production managers, human resources professionals, and anyone involved in workforce management and operational efficiency in manufacturing environments.

soph.
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Looking for guidance on the following: The text outlines a company's problem, and ways to solve it. Results are hypothetically to be presented to the 'Board of Directors' ina week's time. Help please!

Cow Industrials Ltd is a medium sized Engineering Company. A number of their regular customers have made complaints over the last few orders they have received from Cow Ltd. These complaints are as follows:

• Products have been of a substandard nature
• Products are arriving late
• A combination of the above

Some of the customers have threatened that if this continues, then they will cancel their future orders and find another local supplier.

Consequently, the Managing Director has asked the Production Manager to investigate this immediately. He has replied, saying that he cannot meet production and deadline targets, because a large number of his workforce is constantly absent. He has done some basic statistical calculations and says there is strong correlation between production and workers attendance. Clearly something must be done about this, as the company does not want to lose their valued customer base.

The company has therefore called you in, the Information Analyst, to help the Production Manager. You are being asked to give advice regarding the absenteeism of the production workforce, and your brief is to analyze certain factors to try and reduce this high absenteeism and therefore increase production.

After an initial discussion with the Production Manager, you have decided to take a representative sample of ten employees and look at three possible factors – the age of the employee, their holiday entitlement and their hourly rate of pay (grade) - that may affect absenteeism. The Production Manager has given you the required data for each employee in your sample:

EMPLOYEE DAYS PAY HOLIDAY AGE
A 12 B 25 18
B 14 C 25 57
C 10 B 25 44
D 18 C 20 32
E 6 A 30 21
F 4 A 30 19
G 20 E 20 23
H 19 D 20 39
I 28 E 15 45
J 7 B 30 52

N.B. Employees are paid different hourly rates depending on their grade. These are as follows:

Grade A - £ 10.00 per hour
Grade B - £ 8.00 per hour
Grade C - £ 7.00 per hour
Grade D - £ 6.00 per hour
Grade E - £5.00 per hour
Grade F - £4.75 per hour

In a week’s time, the Production Manager and Managing Director will be asking a variety of questions regarding the above data. You are therefore advised to comprehensively analyze this data and do your calculations.

Hope you can help meee :)
 
Last edited:
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What do you need help with? Have you started looking at the basic data? Are there any kinds of trends or coincidences in the data? What have you done?
 

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