Report on Business Intelligence Systems in the UK Milk Industry

This report examines the application of business intelligence systems within the UK milk industry, focusing on content management and data mining techniques. It explores how these systems are utilized by companies, including an in-depth analysis of Muller Milk's operations, highlighting the benefits of data mining in cost reduction, supply chain management optimization, and customer data analysis. The report details the use of content management in managing milk production, quality control, and overall business processes within the industry. Recommendations are provided for technological advancements, such as vacuum systems and membrane technology, to further enhance efficiency and service quality. The report concludes with a summary of key findings and suggestions for future improvements in the sector.

MSS – Report assessment
Acknowledgement
I would like to say thanks to my principal who gave me an opportunity to participate in this
project. Then, i would like to express gratitude to my professor who supported and guided me in
this assessment. Along with it, i am also thankful to my friends and family member who helped
me in conducting this project.
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Abstract
The purpose of report is to described about different types of business intelligence system
that are been used by companies operating in UK milk industry.
Methodology- For this secondary data methodology has been chosen to collect data and info on
milk industry. However, Primary data method is been used to gather data about Muller milk
company.
Finding- it is found that Around 79% of milk processed in the UK from the 9 companies that
undertakes the steps to take processing over 300 thousand tonnes per annum. Along with it, in
report it has been described about use of data mining as business intelligence system in Muller
milk organization. With help of it they are able to reduce almost 8- 13% cost. Apart from it, the
cost incurred in SCM has also decreased to 6- 8% .
CONCLUSION- it can be summarized that business intelligence system arr used in milk
industry. In milk industry content management has provided crucial info about demand and
supply of milk products in various areas. In Muller milk company data mining is used to access
data of customer and products.
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RECOMMENDATIONS- it is recommended that Milk industry in the UK should have the use of
vacuum system to milk their cows. Moreover, they should use membrane technology, techniques
as microbiological and analytics testing.
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Table of Contents
Abstract............................................................................................................................................2
INTRODUCTION...........................................................................................................................4
FINDINGS.......................................................................................................................................4
Question 1........................................................................................................................................4
How content management is used in UK milk industry..............................................................4
Question 2........................................................................................................................................5
Use of data mining in Muller milk and ingredients organization................................................5
CONCLUSION................................................................................................................................6
RECOMMENDATIONS.................................................................................................................7
REFERENCES................................................................................................................................9
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INTRODUCTION
The purpose of this report is that it will be described about business operations of milk industry
in UK. Also, how content management is used within industry. Besides, it will be explained
about Muller milk company and how they are using data mining. In order to collect data,
secondary and primary method are used. The journal and articles are analysed. Moreover, there
is negative impact of report due to limitation of length as it is to be completed in 2000 words. So,
in depth info is not included on it. So, the report is effectively and properly managed and written.
The data is analysed in efficient way.
FINDINGS
Question 1
How content management is used in UK milk industry
Brief overview of milk industry- According to Abdulgader and Rahimi, 2020, Around 79% of
milk processed in the UK from the 9 companies that undertakes the steps to take processing over
300 thousand tonnes per annum. There are number of the milk industry in the UK that is using
the content management as this assist to undertake dairy activities in cost effective manner and
also have ease of use as this are the principles allows the business to streamline the digital
content and authoring process. As per Coimbra, Bathazar and Cruz, 2020 number of the milk
industry has used content management approach in the beginning as this aids to reduce paper and
streamline filing. In this, it has been identified that Milk industries are making the use of content
management process as this assist to provide business users with procedure such as automation
capabilities that assist to reduce IT resources and costs.
Brief overview of knowledge management system- As stated by Saboyainsta, and Maubois,
2020, industries uses content management as this has wide range of several that monitors the
contribution with help of using content management system. Also, this assist to streamlines
business process. In addition to this, this has been analysed that it improves productivity and
profitability of dairy business from existing level and also assist to facilitate unique innovative
system of controlling costs and improving revenue. It has been analysed that the use of content
management aids to undertake the hygienic milking techniques and adopts cold pressure methods
by keeping bottles of milk in under enormous water pressure. This is technique that aids to
remove the harmful microorganisms. Content management is process that undertakes its
procedures as collection, delivery, retrieval, governance and overall management of information
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(Torgo, 2016). Thus, core function of the Milk industry is to manage day to day production of
milk. With help of analysis, this can be conducted that content management aids to focus on milk
testing and quality control as these both are crucial components of milk processing industry.
Hence, milk industry uses this approach as this aids to gather, store, utilise, preserve and process
the information with better managerial activities (Leskovec, Rajaraman and Ullman, 2020).
Hence, it has been also analysed that effectiveness, efficiency, compliance and continuity all are
combine in different proportion to drive the business activities successfully.
Thus, milk industry uses the Enterprise content management as this aids to keep all electronic
files organised, enhancing collaboration and sharing. Also, this can be stated that dairy Roadmap
is a cross-industry initiative that helps to brings out together participants from entire dairy supply
chain and this is inclusive of farmers, dairy manufacturers and industry partners (Olajire, 2020).
In addition to this, British dairy industry has taken wide range of initiatives to make commitment
to set targets and to produce regular reports on the progress as this assist to reduce its
environmental footprint.
Question 2
Use of data mining in Muller milk and ingredients organization
Brief description of organisation- it is a multi national producer of dairy products and is
headquartered in Fishash, Germany. The best product sold by them in UK is yoghurt. There are
total 27,500 staff working. The company is owned by Theo Muller
Brief description of business strategy- In milk industry there are many companies that is using
different types of business intelligence system in their operations (Dual and Du, 2016). The use
of system depends on needs of companies. So, the strategy is to use data mining is a new way of
extraction data from large dataset. It has enabled in providing new info which is utilized in
business decision making. However, there are large data been stored. The data consists of
customer details, product sales, operational expenses, etc. This new tool is having various
applications such as AI, machine learning and statistics.
Brief description of objectives- the main objective of Muller milk company is to maintain
quality of milk products and fulfill customer needs. Also, they want to expand in market by
offering various types of dairy products. Besides, company wants to remain sustainable and
being best every day.
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Brief description of chosen business intelligence technique- As elucidated by Dutt, Ismail
and Herawan, 2017 Muller milk and ingredients data mining is used to extract large dataset and
obtain useful info. Here, the new info is generated and then according changes are made in those
areas. In this business data mining has benefited in finding out patterns in production of milk
products. With help of it they are able to reduce almost 8- 13% cost. Apart from it, the cost
incurred in SCM has also decreased to 6- 8%. The manager of company is able to understand
flow of data and what is relevant for business. Also, outcomes generated from it are analysed and
on basis of that quick decision are taken. Furthermore, data mining is used to detect conception
in dairy cows. Thus, they are able to find out good and poor dairy cows. It is also useful in
finding out quantity of milk produced by them, protein content in it, etc so, on basis of it
company have changed their diet.
In the view of Eldén, 2019, it is analysed that MMI use data mining to enhance revenue as well.
data related to demand of different markets is obtained and then evaluated. Through it, they have
developed many new dairy products by combination of various taste and flavors. It has been
useful to increase profits. Along with it, data mining is also used by company to extract large
customer base data. They access data of customer to find out change in their buying patterns and
trends. By this the manager have taken quick decision to develop new dairy products. Hence, it
has helped them to retain them and increase customer base. Basically, the organization is using
data mining to increase revenue and reduce costs within production. So, this has resulted in
increasing return on investment.
Ivezić, Connolly and Gray, 2019 stated that new info obtained from it is used by management in
making various changes in producing bread, butter, cheese, etc. Furthermore, use of this
intelligence tool has allowed them to make effective strategies of marketing pproduct. Also, they
are able to estimate demand and supply of various dairy products in different markets. Thus, on
basis of it organization do produce units of each product. The raw data of customer has benefited
MMI to get more about them such as needs, taste and preference, demographics and other data.
Additionally, along with data mining company is using artificial intelligence in certain areas.
Now, for complex tasks like in fragmentation, saturation, process of milk AI systems are used. It
has enabled in maintaining quality of milk. In AI systems default criteria are set on basis of
which quality of milk is measured. This has made it easy to analyse protein content in milk and
on basis of it segregating it for producing of dairy products. Alongside, Leskovec, Rajaraman
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and Ullman 2020, said that AI is integrated with data mining that has resulted in converting raw
data into useful info with this it manager are able to analyse data is more easier and effective
way. They are able to take more effective decision in less time and implement it without process
or method. Generally, in organization statistics related to daily operations are accessed like
expenses, sales, etc then by comparing it those stats new data is obtained. It helps in finding out
area where cost incurred is high and then taking decision to make changes in it. Thus, in this way
almost 7- 9% cost is decreased by Muller milk company.
CONCLUSION
From report it can be concluded that business intelligence system has enabled in bringing
ease in overall business operations. It is useful in storing large data in database and servers.
Moreover, the data is analysed is easier way providing useful outcomes. In milk industry content
management has provided crucial info about demand and supply of milk products in various
areas. Furthermore, all data is stored in segregated way. This has benefited in decision making.
Likewise, in Muller milk data mining is used to access data of customer and products. With help
of it they are able to reduce almost 8- 13% cost. Apart from it, the cost incurred in SCM has also
decreased to 6- 8%. Furthermore, data mining is used to detect conception in dairy cows. Thus,
they are able to find out good and poor dairy cows.
RECOMMENDATIONS
Advancement in technology assist to dairy farmers to improve quality of services. On the
basis of above report, the suggestive measure given that aids to facilitate working of Milk dairy
industry in proficient aspect. Henceforth, these are outlined in following ways as are-:
 Milk industry in the UK should have the use of vacuum system to milk their cows.
Hence, vacuums are contained in machines form in the parlour to have ease in service. It
is system that allows multiple cows to milked at the same time. These are the machines
that made with soft rubber that aids to ensure comfort of cows during milking. Therefore,
this can be stated that each cow must be milked, eat grain and have her udder cleaned and
dried while she leaves on rest.
 The milk industry should have the use of advances such as membrane technology,
techniques as microbiological and analytics testing that assist the dairy industry to
produce the new commodities and also helps to improve processing efficiency and aids to
gain greater control over manufacturing process. This has been analysed that the
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analytical techniques are also continually changing as new technologies become available
in market.
 The dairy industry should adopt the sustainability as this leads to have the use of
renewable resources that allows the dairy operations to give energy to back to the grid
and have enough power to have effective use of it.
Henceforth, this can be stated that the technical advancement helps to dairy industry to
continually evolving with it. Therefore, the future of the technical advancement in the dairy
industry echoes the present trend. To make this use effective there is needs to have the use of
drone to scan fields, fatal recognition software and number of the cell phone application that
assist to monitor herd health’s. therefore, the farmers of Milk industry are taking continual
steps to promote a quality product, better animal care and sustainable practices as these all
plays crucial role to drive out business performance in effective and efficient mode. In
addition to this, it also can be stated that Regular monitoring and recording of milk
temperature needs to be undertaken as this is crucial for all dairy farms, Therefore, mostly
this simplified with the use of a Time Temperature Recorder that is termed out as the
automatic temperature check within the interval of each 15 minutes.
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REFERENCES
Books and journals
Dua, S. and Du, X., 2016. Data mining and machine learning in cybersecurity. CRC press.
Dutt, A., Ismail, M.A. and Herawan, T., 2017. A systematic review on educational data
mining. Ieee Access, 5, pp.15991-16005.
Eldén, L., 2019. Matrix methods in data mining and pattern recognition (Vol. 15). Siam.
Ivezić, Ž., Connolly, A.J. and Gray, A., 2019. Statistics, data mining, and machine learning in
astronomy: a practical Python guide for the analysis of survey data. Princeton University
Press.
Leskovec, J., Rajaraman, A. and Ullman, J.D., 2020. Mining of massive data sets. Cambridge
university press.
Olajire, A.A., 2020. The brewing industry and environmental challenges. Journal of Cleaner
Production, 256, p.102817.
Abdulgader, M. and Rahimi, Z., 2020. Performance and kinetics analysis of an aerobic
sequencing batch flexible fibre biofilm reactor for milk processing wastewater
treatment. Journal of Environmental Management, 255, p.109793.
Coimbra, P.T., Bathazar, C.F. and Cruz, A.G., 2020. Detection of formaldehyde in raw milk by
time domain nuclear magnetic resonance and chemometrics. Food Control, 110,
p.107006.
Saboyainsta, L.V. and Maubois, J.L., 2000. Current developments of microfiltration technology
in the dairy industry. Le Lait, 80(6), pp.541-553.
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