CW2 Group Report: Data Analysis, Jobs, and Insights in Manufacturing

This report delves into the critical role of data insights within the manufacturing industry, using Unilever as a case study. It begins by defining data insights and their significance in business decision-making, emphasizing the analysis of data to derive meaningful information. The report explores the impact of technological advancements on data collection and analysis in manufacturing, highlighting how companies like Unilever leverage data to improve operational efficiency, customer satisfaction, and cost savings. It outlines various job roles within the data analysis sector, such as assemblers, workers, operators, and production managers, and details the necessary skills for each, including manufacturing expertise, technical skills, and management capabilities. The report also includes a questionnaire designed to gather insights on employment opportunities, industry challenges, and customer responsiveness. Additionally, it provides guidance for face-to-face interviews, focusing on assessing communication skills and candidate expertise. The report concludes by discussing the distribution of digital insights and their impact on job roles within the industry.

CW2 Group Report
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Contents
INTRODUCTION...........................................................................................................................3
TASK ..............................................................................................................................................3
Data description..........................................................................................................................3
Role of data in the context of manufacturing industry................................................................4
Jobs in data analyses sector along with the necessary skills requirements.................................5
Questionnaire..............................................................................................................................6
Guidances for face to face interviews ........................................................................................8
Distribution of digital insights and its impact upon the job........................................................9
CONCLUSION ...............................................................................................................................9
REFERENCES..............................................................................................................................12
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INTRODUCTION
A data insight is the activity through which an individual gathers the data or information
and then analyse it to withdraw some meaningful information from that. As in the case with
business, for them information is the key. They collects the data about various factors like
company's performance, data related to employees motivation, the trends and preferences
running in the market by customers and much more. Through the analyses of these information
and data a lot of meaningful conclusions can be formed. These conclusions later are useful for
forming the various strategies for businesses (Trinh and et al., 2019). The data insights can be
used for business management also. Through the examination of data the various strategies and
goals could be formed by the organisation. The goals may include the short and long term which
can be set by any organisation through these data insights. For reference purpose this report has
taken an example of a company, Unilever. It is a British multinational company which is
engaged in the business of manufacturing the personal care products and the products related to
food.
This report discusses about the introduction of digital distribution, role of data in
analysing as a term of business tool, types of jobs which are includes in this sector and the skills
which are required to get into this profession. Apart from this the report also includes a
questionnaire which could be set for research professional researching.
TASK
Data description
Data description refers to the changes which have come due to the increase in the use of
technologies in the businesses and by the customers. The data description in manufacturing
sector has played a major role. The machineries used in the manufacturing units are becoming so
advanced that they all has the ability to produce the large units of products with the minimum of
time and cost. As in the case with Unilever company, the increase in the development in
technologies is pushing the industries to adopt these innovative machineries and technologies as
they help them in bringing the effectiveness in their operations. Also the products which the
manufacturing industries are making for the customers are also very advanced that it now has
increase the demand of innovative technological products among the customers (Hank and et al.,
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2018). The manufacturing industries analyse that whether their operational performances,
customer satisfaction level, feedback about the products, units produced, quality of products and
so on can be only be analysed through the data or information collected. The data or information
about the performances, feedbacks, customer satisfaction level and etc. is stored with the
organisation, these information is later used by them in examining the true effectiveness and
revenue generated by these factors.
Role of data in the context of manufacturing industry
To remain competitive in the market and attain growth in the same, the manufacturing
industries are now using the data and information. Through the proper analyses of these data or
information the major strategies could be formed. The data and information gathered or collected
could be used in many various. Some of the usage with regard to Unilever company may include
calculation of effectiveness, bringing the required improvements in the performances of the
organisational technologies, forming the models of businesses, and etc. that can be included in
the below presented points:
Saving cost: The data about the company is analyses through which the cost about the
company which it can incur in a particular period of time can get analysed. The data or
information which are collected in relation with the cost can get examine properly through which
new strategies and goals could get formed (Harold and et al., 2016). For example, through the
data gathered about the cost, the manufacturing company can compare the cost with the previous
cost or the budgets set by the company. Through which they can analyse the areas where the
improvements are needed.
Insights about the process: Through the insights about the data or information collected,
the manufacturing company can analyse the operational process which has been used by the
company. The insights would help the organisation in knowing about the operational
effectiveness. The data can get compared with the standard set and also from the past
performances of the company. As in the case with manufacturing industries, the efficiency of the
organisation operational machines can get analysed and examined through these data (Caulkins,
and et al., 2018). If the data about the performances of its machineries are not up to the mark
then necessary steps or actions needs to take so that the performance gets match with the
standard goals.
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Improvements in the customer satisfaction level: Through the data collected by the
manufacturing industries about the satisfaction level attain by the customers through their
product can help the organisation in making the necessary changes in the satisfaction level of the
customers. The data consist of the true experience and the feedback which the customers can for
the product. By analysing and examining these data an insights can be developed by the
company (Liu and et al., 2017). Through these insights the company can make the necessary
improvements in their products or services offered by the company so that they can increase the
customer experience.
Jobs in data analyses sector along with the necessary skills requirements
Manufacturing industry is very broad in his operations and activities. The units produced
in the industry is at the large scale and the level of employability it provides to the people is also
very large. There are various types of job roles that can be included with respect to this sector,
and some of these job roles can be as follows:
Assembler: The job of a assembler is to assemble all the parts of a product so to make a final
product. The assembler for his job role must know about the product and its part very well. In the
Unilever company, The job of the assembler is also to assemble all the parts of a product to make
the final product (Comber and Wulder, 2019). The skills are needs to become a assembler and
these may include the knowledge about the product, knowledge about the parts which would get
attached to make the final product and etc.
Workers: These are the people who are responsible for loading and unloading the materials
which are used in the manufacturing of products. These people also has the role of taking care of
the activities in the operational belt. Workers are included in the lower level people in
management as they are the people who takes the orders form their next supervisors.
Operator: These are the people who are responsible to take care about the activities which are
related to operations. These people make sure that the machines are working in a good conditions
and whether they are performing the operations as per the required guidelines or not. The work
needs to get performed as per the standard guidance and corrective measures need to undertake if
they are not performing as per the standard set (Lynch, 2017).
Production managers: The task of the production manager is to handle all the issues and
problems which are placed in the category for production. The job of production manager is also
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to monitor and control all the activities which are related with the production activity. They also
fix the problems like quality degradation, technological problem, raw material acquirement and
much more.
To get in to career in manufacturing industry, with regard to Unilever organisation, there
are some skills which are required by an individual to posses. Some of these skill can be as
follows:
Excellent manufacturing expertise: In the manufacturing industries, quality of the product does
matter a lot. The manager must have the ability to handle the manufacturing process and
operational process which are taken under the production activities (Nash, 2017). To perform
this job the person should have the skills of operating the machineries or the technology which
are used in the production activity.
Technical skills: The person should also posses the technical skills in which he must know
about the knowledge about technologies and its workings. These skills would help the individual
in taking care about the activities which includes the technical knowledge. Otherwise how the
person would be able to run the machines (Chandawarkar, Jenny and Kim, 2020.).
Management skills: The individual also must posses the skills of management. Through this
skills he must be able to manage his work and teams in an effective and efficient manner. The
management skills would help him in clearing all the doubts, issues, problems and etc. in relation
with managing the activities.
Questionnaire
They are the questions which are used as a method to gathered the data from the targeted
customers by asking the questions which are related with the topic (Pitt, Mulvey and Kietzmann,
2018). Through these questions, the researcher is able to get the information which he is looking
for. The questionnaire related to the research about manufacturing industry can be as:
Q1) Can be there the opportunities for
employment in manufacturing industries?
YES 35
NO 5
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Interpretation: From the research done above, the investigator asked about the opinion to the
target customers about the degree of opportunities available in the manufacturing industries.
From the research conducted, out of 40 people 35 believes that there are ample opportunities
available in this particular sector. Whereas 5 people believes that there are not ample of
opportunities available in this field. This also throw a light upon the increase in the
manufacturing sector or industry. This shows that the industry is growing with an increasing rate
and also the employment opportunities which are available in this sector is also increasing.
Q2) From the following available which can be
considered as a major challenge in
manufacturing industry?
Finding out the talented and suitable work
force
5
Keeping up with the changing laws 10
Adopting the new and latest technologies 20
Performing the margins 5
Interpretation: From the data collected above, it can be noted that various people have different
takes upon the challenges. 5 people believes that finding out the talented and suitable work force
is not an easy task for the employer. 20 people believes that adopting the new and latest
technologies is a challenging task for the employer. And at last 10 people believes that keeping
up with the changing laws is the major challenge.
Q3) How quick and responsible the company is
in order to addressing the customer queries?
high 25
Medium 7
Low 8
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Interpretation: From the research presented, 25 people believes that the company is very
responsible in relation with the degree of addressing the customer queries, 7 people believes that
the customer responsiveness of the company is an average. But 8 people from the total
respondents believes that the industry is very careless in giving the appropriate response to the
customer queries.
Guidances for face to face interviews
When an employer hires a candidates for a particular job role, he first overviews the
talent and skills posses by that individual and then if the skills and knowledge of that individual
get matches with the requirement then that person has been called by the company so that they
can take the further steps of recruitment and selection program (Wu and et al., 2018). There are
some guidelines which can be overview by the interviewer of Unilever company at the time
taking the interviews of candidates:
Communication skills: When an interviewer interviews the candidate he can analyse the
communication ability of that person. Concerning the up-and-comer it is the perfect opportunity
to show their expertise and to get chosen for the separate position and correspondence is
additionally a significant angle for the supervisor as this encourages to have a reasonable and
justifiable discussion that is the most fundamental prior to participating in the organization so it
won't make any disarray among them and furthermore lessens the difference in build up any
issue while working in an association (Świechowski and Ślęzak, 2020).
•Research – these variables is considered by the both with respect to the applicant it is critical to
think about the organization and occupation profile for this up-and-comer ought to have been
experienced the organization site additionally assembles some data to conclude if to go for this.
Furthermore, director additionally should likewise mindful about the up-and-comer foundation
and a little data so that time won't be burn through at the hour of meeting. Examination is a
significant perspective to dispenses with the future issues adequately and on schedule. This
shows the proactive methodology where supervisors distinguish and furthermore wipes out the
issues that can emerge later on (Chappuis and et al., 2020).
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•Structured meet: An organization ought to receive a very much organized meeting that surface
with an inflexible meeting plan. In this possibility for a similar position are going to posed
similar inquiries and surveyed on a similar scale. This sort is reasonable, solid and dependable
and all the competitors are dealt with same without any separation. In the assembling business it
is important to follow this methodology since it is the one which needs the profoundly talented
and workers with the solid specialized abilities that will be utilized in the IT issues and in
keeping up or working machines.
Distribution of digital insights and its impact upon the job
Digital disruption is depicted as the arrangement of historic changes in the digital
innovations that influences the organizations efficiency and adequacy. New advances can
possibly overturn the work that individuals do. Disruption is an open door just as difficulties for
the future positions and vocation. These digital insights with respect to Unilever can be as
follows:
•Technological changes has sway on the numerous exercises that representatives conveyed our at
the work place can possibly be robotised in future. As this progressions upgrade the work
environment to reshape antagonistically (Troisi and et al., 2020). However, in the current
situation the speed and scale wherein computerization innovations are creating they could disturb
the positions and vocation of the people.
•Advancement in the innovation and machine obtain exceptionally talented and further
developed capacities that could coordinate or surpass the human ability to work as per them. The
reception of technology is required a representatives that could chip away at them it makes their
work simple yet as it require an elevated level of information and furthermore likelihood that
machines and innovations can replace HR.
•Technology additionally helps a work market as it presents digital ability stage that can possibly
improve the working of the representatives and that can coordinate their employment profiles;
make straightforwardness and effectiveness in manners by which labourers perform (Custer and
et al., 2018).
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Digital dissemination is filling in as the difficulties just as the open doors for organizations
exceptionally to the assembling business. It has a numerous downsides as it incorporates hefty
expense and speculation and furthermore interferes with the activities in the organization and
furthermore give focal points and openings in numerous terms such an improve the abilities and
information that will give the development to the individual by and by just as expertly.
CONCLUSION
From the above investigation it has been inferred that data experiences is the
assortment data and broke down that offer help in to the settle on better and viable dynamic. The
data interruption is an impact that is happens because of the adjustments in advancements that is
utilized in the assembling units and it fills in as the two difficulties just as circumstances. Data
assumes a function of business device that help the unit in the different manners. Assembling
industry is a wide term which is comprise of the different jobs and aptitudes which are utilized
on the viable tasks. Here survey is likewise made to think about the better about the particular
business.
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REFERENCES
Books and Journals
Caulkins, J. P., and et al., 2018. Big data on a big new market: insights from Washington State’s
legal cannabis market. International Journal of Drug Policy. 57. pp.86-94.
Chandawarkar, A., Jenny, H. and Kim, R., 2020. Data-driven insights on the effects of COVID-
19 on aesthetics: part I (passive analysis). Aesthetic surgery journal.
Chappuis, C., and et al., 2020. Automatic pollen monitoring: first insights from hourly data.
Aerobiologia. 36(2). pp.159-170.
Comber, A. and Wulder, M., 2019. Considering spatiotemporal processes in big data analysis:
Insights from remote sensing of land cover and land use. Transactions in GIS. 23(5).
pp.879-891.
Custer, S., and et al., 2018. Toward Data-Driven Education Systems: Insights into Using
Information to Measure Results and Manage Change. Center for Universal Education
at the Brookings Institution.
Hank, K., and et al., 2018. What do we know about grandparents? Insights from current
quantitative data and identification of future data needs.European journal of
ageing. 15(3). pp.225-235.
Harold, J., and et al., 2016. Cognitive and psychological science insights to improve climate
change data visualization. Nature Climate Change. 6(12). pp.1080-1089.
Liu, Y., and et al., 2017. Big data for big insights: Investigating language-specific drivers of
hotel satisfaction with 412,784 user-generated reviews.Tourism Management. 59.
pp.554-563.
Lynch, C. F., 2017. Who prophets from big data in education? New insights and new
challenges. Theory and Research in Education. 15(3). pp.249-271.
Nash, R., 2017. Contracting issues at the intersection of the public and private sectors: New data
and new insights.
Pitt, C., Mulvey, M. and Kietzmann, J., 2018. Quantitative insights from online qualitative data:
An example from the health care sector. Psychology & Marketing. 35(12). pp.1010-
1017.
Świechowski, M. and Ślęzak, D., 2020, September. Introducing LogDL–Log Description
Language for Insights from Complex Data. In 2020 15th Conference on Computer
Science and Information Systems (FedCSIS) (pp. 145-154). IEEE.
Trinh, H. T., and et al., 2019. Relations between socio-economic factors and nutritional diet in
Vietnam from 2004 to 2014: New insights using compositional data analysis. Statistical
methods in medical research. 28(8). pp.2305-2325.
Troisi, O., and et al., 2020. Growth hacking: Insights on data-driven decision-making from three
firms. Industrial Marketing Management. 90. pp.538-557.
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Wu, W., and et al., 2018. Energy-efficient hadoop for big data analytics and computing: A
systematic review and research insights. Future Generation Computer Systems. 86.
pp.1351-1367.
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