Data Insights: Role of Data as a Business Tool in Manufacturing

This report delves into the critical role of data insights within the manufacturing sector. It begins by defining data and data insights, emphasizing their importance in business decision-making and risk reduction. The report then explores digital transformation, highlighting its impact on the industry and the need for manufacturers to adapt to fast data analysis and social network interaction. A significant portion of the report focuses on data's role as a business tool, detailing how data analysis can save costs, improve manufacturing processes, enhance customer satisfaction, and streamline production and supply chains. It also outlines various job roles within the sector, including assemblers, workers, machinists, and production managers, along with the essential skills required for success, such as good manufacturing practices and technical expertise. The report includes a questionnaire analyzing employment opportunities, industry challenges, and customer responsiveness, followed by guides for conducting face-to-face interviews. Finally, it addresses digital disruption's impact on jobs and careers within the manufacturing sector, offering a comprehensive overview of data's transformative power.

DATA INSIGTHS

Table of Contents
INTRODUCTION ..........................................................................................................................1
MAIN BODY...................................................................................................................................1
Digital transformation.................................................................................................................1
Role of data as a business tool in a manufacturing industry.......................................................2
Jobs within the sector and skills required to build successful career .........................................3
Questionnaire .............................................................................................................................4
Guides for the use in face to face interview................................................................................5
Digital disruption and its impact on the job and career .............................................................6
CONCLUSION ...............................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Business management is an separate entity that is run by the individual or group of
people. There are many types of functions that is used within the organisations as to effectively
achieve the objectives and goals. One the of the important function that is played by the
managers is data insights within the firm for the effective operations. Data refers to the collected
information and data insight is the knowledge which is gain or attain after the proper analysis of
the information to a given topic or condition. This analysis provides insights that provide support
to the business to make an effective decision and reduces risk that may arise in the future. Ability
to drive an effective data insights is dependent upon on the variety of factors such as reliability
of information and need of data insights. Business management is an separate entity that is run
by the individual or group of people(Tiwari, Wee and Daryanto, 2018). This report is based on
the manufacturing sectors and the role of information and data as business tool within the
respective industry. Further more this will includes data disruption and its impact on the job and
career. In addition to this there are also questionnaire to know how research technique work
effectively.
MAIN BODY
Digital transformation
Digital disruption refers to the effects that is occurs due to the changes in the digital
technologies and business models by which value proposition of existing goods and services get
affected. The rapid enhancement in the technology advancement and use of devices for personal
and official work has increased the potential for digital disruption across many industries. This
generally occurs in the manufacturing units as most of the technology and machines are used in
this. This disruption happens when there is digital innovation then effects customers behaviour
and expectations and pressure organisation to shift to new ways of how they produce goods and
services, produces marketing materials and evaluation of feedback. This impact as an shift in the
digital strategies in the organisation as to fulfil the customer expectations and for the effective
operations (Feeney, and. et. Al, 1999). To successfully face the digital disruption, manufactures
must accomplish the move towards the fast data analysis, interaction through social networks,
and a proper research on to the the technology that best suite the system.
1

Role of data as a business tool in a manufacturing industry
Manufacturing industries are now focusing and realizing the importance of data
collection and it analysis to remain competitive in the industry. Its is helpful in various ways
such improving business process, identify operational efficiency, transforming business model
and many that are discussed below as in context to the manufacturing sector:
saving cost: data analysis played role to facilitate cost saving process as there are various
approaches that is implements in order to reduce the cost that includes the analysis of data as an
essential part. Such as lean and six sigma program that enabled to improve enabled to improve
quality that provides the satisfaction as well as reduce the cost of the production (Hall and Adam,
2002).
insights to manufacturing process: data analytics helps the manufacturing units to
identify opportunities that provide support in to enhance the productions process and yields.
Even after the improvements, after some time there again develop the room that is to be
improved this because of the dynamic and complex environment which is to be followed
accordingly by the organisations. And this potential is revealed or identify through the data
collection and proper analysis
improve customer satisfaction: to meet the needs and requirements of the customers, it is
essential for the manufacturing company to find out what the customers are looking for. And to
know about this data collection and analysis is the best way to know about the customer
preferences. To streamline this collection process company use several ways such as online
forms and turn that collected response into the documents that can be easily be shared with the
management to take the further decisions and strategies. With this manufacture will analyse the
similarities and difference that exist between the customers and company is trying to meet all the
requirements with that they maintain brand loyalty (Scheitle, 2011).
streamline the production chain and supply chain: as for the manufacturing, first thing
which is needed is material and for this just on click on the internet can provide the number of
vendors and suppliers. And when it comes to the decision making to choose and start the
manufacturing. Here the need of data analytics that will analyse the every product's life cycle and
will come with the logical conclusion and statistics before it become an issue and threat for the
company. Data analysis is comes into the action as soon as material is offloaded from the
product line belt so it will analyse accordingly.
2

Jobs within the sector and skills required to build successful career
As manufacturing is very broad term for this a industry is required a huge number of
workers to produce the product and services. and has a very wide range of job titles that includes
variety of job description that are disc used as below:
Assembler: this is refers to the individual, that has played role to put together piece of product,
raw materials to the production process and also assemble the finished goods while maintaining
proper record of them. They either use their hand as well as machines or tools that depends on to
the types of product. In this many of the person get the job on the basis of on-the-job training that
is provided by the company itself(Smolen, Aletaha and Redlich, 2012).
Workers: these are the one who has the responsibility to load and unload the products and raw
materials. And also responsible to perform the production belt operations. They considered in the
lower or operational level of the management. This position is require to put an eye for detail and
has the ability to operate equipment.
Machinist / operator: this is refers to the position where employees are responsible to operate
and maintain computer and mechanically – operated machines that are used to create the parts
for productions process (McQuivey, 2013). Also check the defects and maintain that for the
effective process without any interference in between.
Production managers : these mangers inspect the day-to day operations at manufacturing unit.
They ensures that production is processing and stays as per the schedule. Also fix the production
problems such as requirement of raw material and financial resources etc. recruitment and hiring
is also a duty of production manager.
A wide a range of skills are there, which are required in the manufacturing job titled for
the effective processing that provides an better quality and cost saving process that will support
in to the accomplishment of the desired goals and objectives for the growth of an company.
Some of the skills are explained below:
good manufacturing practices: Manager have to ensures about the good quality of the
products as well as the process within the company. GMP ensures that products are made with
uniformity and will meet the quality standards as per the company guidelines. And for some
particular products government provides the standards that has to be follow by the company such
as for the pharmaceuticals and food products (McQuivey, 2013).
3

Technical skills: Manufacturing is the industry in which technical skills requires the most
for operating and maintaining the technologies and machinery effectively that are required in the
production process.
Quality management system: this system maintain the quality of an entire system. This is
consist of an documentation processes, procedures and tracking the record of the allotting duties
and responsibility. To enhance the the overall quality of internal environment of an company.
Product design: this is refers to the process of developing a new design and product for
the manufacturing. Here designers develop an innovative idea and formulate it into a tangible
product that works in the market place for the higher profit margin and optimized for efficient
manufacturing.
Corrective and preventive actions: Managers in the respective industry has the skills to
to take the corrective preventive actions on time that support in to improve an organisation
processes by reducing issues such as customer complainants and machinery failure etc. this is
mainly used to control the quality and effectiveness of an organisation (Schmidt and Cohen,
2010).
Questionnaire
Questionnaire refers to the research instrument that consist the set of the questions with the
choice of answers that are made for the purpose of gathering information from the responded. It
can be known as written interview.
Q1) Is there is a employment opportunity in a
manufacturing industry?
YES 35
NO 5
Interpretation:The manufacturing company provides a large amount of employment
opportunities to the society as in this case 35 people have given yes while only 5 have given no.
This shows that the manufacturing companies requires a huge number of employees or workers
to perform their operational effectively at their maximum efficiency which helps the entity to
raise higher financial results along with the minimum cost of production. This aspect also shows
that the production and operational functions of the manufacturing industries has been high most
of the time which results in the requirement of high number of employees or workers.
4

Q2) which one is the main challenges faced by
the manufacturing industry?
finding and sustainability of workers 5
navigation changing laws 10
integrating new technology 20
margin making 5
Interpretation:This analysis shows that the getting the right technology followed by the
skilled workers are the major aspect of the challenges of the company as in this changing
business environment technology has been upgrading really fast which makes the previous
technology go obsolete and company has to invest huge amount in this(Kerr and Kelly, 2017).
Also it is difficult for the organisation to get the right worker with the right skill to perform the
operations of the business effectively which company face issues as no one is perfect. They also
face issues in coping with the changing in the laws as these are changing with the business
environment.
Q3) How responsive they have been to the
customers queries in relation to product?
high 25
Medium 7
Low 8
Interpretation: The manufacturing firm emphasize much on the queries of the customers
as in this case 25 respondents said high which implies that the company is taking care of the
issues of the customers and resolving them which helps in achieving higher level of customer
satisfaction. It also shows that they are only 15 customers who think that there issues have not
been solved effectively which the organisation should emphasize more to improve the goodwill
of the business. Taking care of the grievances is the major aspect for all the business which helps
them to grow faster along with the better performance of the organisation in the
society(McQuivey, 2013).
5

Guides for the use in face to face interview
When a company hires an candidates for the job position then it will conduct an face to face
interview to know about that is it a right person or not for the vacant job place. There are some
guides that are to be used by the interviewer while taking an interview: Face to face communication skill – using this skill will be good for the both interviewer
and interviewee(Thirgood and Johal, 2017). As for the candidate it is the right time to
show their skill and to get selected for the respective position and communication is also
an important aspect for the manager as this facilitates to have an clear and understandable
conversation that is the most essential before joining in the company so that it will not
create any confusion between them and also reduces the change of develop any problem
while working in an organisation. Research – this factors is considered by the both as for the candidate it is important to
know about the company and job profile for this candidate should have been gone
through the company website also gather some information to decide whether to go for
this or not. And manager also should also aware about the candidate background and a
little information so that time is not going to be waste at the time of interview. Research
is an important aspect to eliminates the future problems effectively and on time. This
shows the proactive approach where managers identify and also eliminates the problems
that can arise in the future(Larkin, 2017).
 Structured interview: A company should adopt an well structured interview that come
up with a rigid interview plan. In this candidates for the same position are going to asked
the same questions and assessed on the same scale. This type is fair, defensible and
reliable and all the candidates are treated same with out any discrimination. In the
manufacturing industry it is necessary to follow this approach because it is the one which
needs the highly skilled and employees with the strong technical skills that will be used
in the IT issues and in maintaining or operating machines.
Digital disruption and its impact on the job and career
Digital disruption is described as the set of ground breaking changes in the digital technologies
that affects the companies productivity and effectiveness. New technologies have the potential to
upend the work that people do. Disruption is an opportunity as well as challenges for the future
jobs and career.
6

 Technological changes has impact on the many activities that employees carried our at
the work place have the potential to be automated in future. As this changes enhance the
workplace to reshaped contentiously. But in the current scenario the speed and scale in
which automation technology are developing they could disrupt the jobs and career of the
individuals.
 Advancement in the technology and machine acquire highly skilled and more advanced
abilities that could match or exceed the human capability to work according to them. The
adoption of automation is required a employees that could work on them it makes their
work easy but as it require an high level of knowledge and also probability that machines
and technologies can take the place of human resources(Sullivan and Staib, 2018).
 Technology also helps an labour market as it introduces digital talent platform that have
an potential to improve the working of the employees and that can match their job
profiles, create transparency and efficiency in ways in which workers perform.
Digital distribution is serve as the challenges as well as the opportunities for companies specially
to the manufacturing industry. It has a many drawbacks as it includes heavy cost and investment
and also interrupts the operations in the company and also provide advantages and opportunities
in many terms such a enhance the skills and knowledge that will provide the growth to the
individual personally as well as professionally.
CONCLUSION
From the above analysis it has been concluded that data insights is the collection information and
analysed that provide support in to the make better and effective decision making. the data
disruption is an effects that is occurs due to the changes in technologies that is used in the
manufacturing units and it serves as both challenges as well as opportunities. Data plays a role of
business tool that help the unit in the various ways. Manufacturing industry is a very broad term
which is consist of the various roles and skills which are used on the effective operations. Here
questionnaire is also made to know about the better about the respective industry. Along with
7

this there are guides which have been used while face to face interview in the manufacturing
industry.
REFERENCES
Books and Journals
Feeney, L., Haines Jr, G.H. and Riding, A.L., 1999. Private investors' investment criteria:
insights from qualitative data. Venture Capital: An international journal of
entrepreneurial finance, 1(2), pp.121-145.
Hall, B.H. and Adam, B., 2002. 13 The NBER Patent-Citations Data File: Lessons, Insights, and
Methodological Tools. Patents, citations, and innovations: A window on the knowledge
economy, p.403.
Kerr, G. and Kelly, L., 2017. IMC education and digital disruption. European Journal of
marketing.
Larkin, J., 2017. HR digital disruption: the biggest wave of transformation in decades. Strategic
HR review.
McQuivey, J., 2013. Digital disruption: Unleashing the next wave of innovation.
McQuivey, J., 2013. Digital disruption. Unleashing the Next Wave of Innovation. Las Vegas:
Forrester Research.
Scheitle, C.P., 2011. Google's insights for search: A note evaluating the use of search engine data
in social research. Social Science Quarterly, 92(1), pp.285-295.
Schmidt, E. and Cohen, J., 2010. The digital disruption-connectivity and the diffusion of power.
Foreign Aff., 89, p.75.
Smolen, J.S., Aletaha, D. and Redlich, K., 2012. The pathogenesis of rheumatoid arthritis: new
insights from old clinical data?. Nature Reviews Rheumatology, 8(4), p.235.
Sullivan, C. and Staib, A., 2018. Digital disruption ‘syndromes’ in a hospital: important
considerations for the quality and safety of patient care during rapid digital
transformation. Australian health review, 42(3), pp.294-298.
Thirgood, J. and Johal, S., 2017. Digital disruption. Economic Development Journal, 16(2),
pp.25-32.
Tiwari, S., Wee, H.M. and Daryanto, Y., 2018. Big data analytics in supply chain management
between 2010 and 2016: Insights to industries.Computers & Industrial Engineering,
115, pp.319-330.
8