IMPFT107K Principles of data analysis and use in food and drink process and production performance
Overview
This standard is about the principles of data analysis and use in food and drink process and production performance. It is about understanding data analysis and its application in support of the management of production performance. It involves being able to acquire data, analyse data and communicate the results to others.
This standard applies to you if you are a manager or consultant who has responsibility for maintaining and assessing the performance of processing operations within a food or drink business. It is expected that you will control and support others in respect to data collection and analysis.
Knowledge and understanding
You need to know and understand:
1 the purpose of data analysis in the food and drink sector
2 what is reliable primary and secondary technological food data
3 the characteristics of primary and secondary technological food data
4 how to source primary data from food processing operations
5 how to source secondary data from food processing operations
6 the processes, facilities and equipment that are required to collect and record technological food data
7 how to ensure the reliability and quality of both primary and secondary data in terms of currency, authenticity, accuracy and balance
8 how to create, structure and present data sets
9 what quantitative data is and its application in food processing
10 what qualitative data is and its application in food processing
11 how to record, code and store technological food data
12 data classifications – categorical, discrete and continuous
13 how to display food data
14 how to summarise data using measures of central tendency, dispersion and exploratory data analysis
15 how to fit and apply curves to support the analysis of technological food data
16 the resources required to support the collection, storage and analysis of data
IMPFT107K Principles of data analysis and use in food and drink process and production performance
Overview
This standard is about the principles of data analysis and use in food and drink process and production performance. It is about understanding data analysis and its application in support of the management of production performance. It involves being able to acquire data, analyse data and communicate the results to others.
This standard applies to you if you are a manager or consultant who has responsibility for maintaining and assessing the performance of processing operations within a food or drink business. It is expected that you will control and support others in respect to data collection and analysis.
Knowledge and understanding
You need to know and understand:
1 the purpose of data analysis in the food and drink sector
2 what is reliable primary and secondary technological food data
3 the characteristics of primary and secondary technological food data
4 how to source primary data from food processing operations
5 how to source secondary data from food processing operations
6 the processes, facilities and equipment that are required to collect and record technological food data
7 how to ensure the reliability and quality of both primary and secondary data in terms of currency, authenticity, accuracy and balance
8 how to create, structure and present data sets
9 what quantitative data is and its application in food processing
10 what qualitative data is and its application in food processing
11 how to record, code and store technological food data
12 data classifications – categorical, discrete and continuous
13 how to display food data
14 how to summarise data using measures of central tendency, dispersion and exploratory data analysis
15 how to fit and apply curves to support the analysis of technological food data
16 the resources required to support the collection, storage and analysis of data
Keywords: Food; Data; Analysis; Statistics