Opportunities for Big Data Analytics in Sainsbury: Strategies and Advice

This report discusses the opportunities for big data analytics in Sainsbury, including advice on data collection and strategies for getting the most value. It describes the organisation and its potential for using big data insights to reduce costs and improve efficiency. The report also provides advice on what data Sainsbury should be collecting and how it should be collected, as well as discussing various strategies for getting the most value from big data.

Individual Coursework
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Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
A description of the organisation in which the opportunity for (big) data analytics is identified
.....................................................................................................................................................1
Advice on what data the organisation should be collecting........................................................2
Advice on how the organisation should be collecting the data...................................................3
A discussion on what strategies the organisation may use to get the most value........................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Information is characterized as qualitative and inferential statistical information on a person,
a company, a sector, or a country (Al-Qirim, Tarhini and Rouibah, 2017). It's a one-of-a-kind
integer with just single attribute. As per the concept, it is a basic structure of facts and experience
data which should be appropriately transformed into mostly data. Companies can evaluate their
performance using this information. It could be depicted in a variety of ways, including graphs,
drawings, and figures. Obtaining this knowledge, on the other hand, appeared to constitute a very
long duration task as well as a complex operation. The advent of numerous innovations, on the
other hand, simplified the procedure of gathering, organising, and evaluating information. Big
Data can also help you come up with fresh management concepts. This document discusses the
Data Analysis concept, its features, and some major Data Analysis challenges in transportation,
economics, and accountancy. Such issues include distribution network and business information,
and also the benefits, applications, and possibilities of Cloud Computing. The broad problems of
Cloud Computing, and also Data Analysis challenges in supply chain administrators and
business activities, are indeed discussed.
MAIN BODY
A description of the organisation in which the opportunity for (big) data analytics is identified
Within each company, information and research offered by digital networking, statistics,
post content, devices, as well as other sources are developing at a fast pace. Many businesses are
constantly trying to harness the energy of these rapid, huge, and intertwined streams of data in
effort to determine supply schedules (Chomicki, Schaefer and Renner, 2020). Cloud Computing
enhances distribution network management, give an important picture of operating performance
and consumer contacts, and gives enterprises with real-time intelligence to assist people take
important decisions. Sainsbury is a Leading supermarket and general merchandise retailer
established in London which is also headquartered in London itself. It is the one of the largest
retailer in the globe by total receipts and one of the top seeded in terms of sales and profitability.
It has outlets in six Different countries and is the largest commercial firm in the Great Britain
(including a client ground of around 35.6 percent). Big data insights can be used for a variety of
purposes like the utilising information to reduce prices on energy by regulating electricity and
energy expenses which can be used by the firm in an impactful manner. The company may work

with its vendors to connect thermal and electrical systems out of its numerous places to data
centres through the internet. Sainsbury could utilize Internet Mapping to evaluate every store's
power savings and identify the locations that are doing well in terms of the aspect and also the
locations that are not performing up to the standards that are set up at the starting. Sainsbury uses
computer insights to develop levels of influence across its whole supply channel, from the
manufacturing procedure to marketing and client care. Real observations, like the one that is
done on the practical basis could be paired with forecast modelling to communicate forth buy
alerts through supplier network and operations channels ahead of time. Sainsbury views Big Data
as a multitude of networks method to capture forthcoming trends in client purchase behaviour,
meeting consumers' aspirations to use commercial outlets, mobile devices, and desktop
workstations all at the same time. The firm must also consider upcoming patterns as
a consequence of global usage of connected equipment which generate significant quantities of
information, each company hires these sensors, and Sainsbury utilises these for a number of
purposes, like detecting the degree of freezing and units. Scientists and database administrators
in the company are required to anticipate probable trends using technological tools and to
support the accessible team whenever possible. The firm also rely on predicting revenue as it is
one of most crucial field of knowledge and management wherein Sainsbury prioritises
information is selling prediction. Client data mapping complicates issues like "how do customers
buy at a business well over period of the space that is given for a month?" and "how do they
purchase for every product?" As per cloud computing and grouping techniques, "the manner
goods are purchased alone is not exactly the method companies work." While increasing number
of individuals of firms monitor tens of millions of items at the very same moment, almost
1 trillion pieces of information are produced. It's where in-database analysis plays its role, which
entails putting various advanced insights in systems wherever information is kept. It prevents
information from being sent in groups for examination by third parties (Moyo and Loock, 2018).
Advice on what data the organisation should be collecting.
The data collection for any organisation is crucial when it comes to big data analytics. The data
is collected for increasing the efficiency and the effectuality of the company. The data collection
can be of the taste and Preferences of the consumers (Nelson, Berlin and Menold, 2019). From
this the company can concentrate and gives an idea to its suppliers to improve or expand the

production and modification in the certain products. It will give the organisation an idea about
where it is lacking for generating more revenue and will discuss about the functional areas more
in the organisation. It will happen to increase in its operational efficiency. The frequency level of
the revenue generation should be collected by the company Sainsbury which will provide it a
look at the transaction behaviour of the consumers. It will also give them an idea about how to
score the customers satisfaction level. Also the purchasing level of the consumers can be
identified and the spending capacity. In short, the big data analytics of Sainsbury should be done
of the frequency level of purchasing, the value, the spending level, number of item bought and
many more (Cai and et.al., 2020). This will help the supermarket majority of the companies
which dals with the large number of retailers with the commercial practice. This will help the
company identify the loyalty of their customers and how the consumers are clustered between
various other supermarkets. This will supplement the data collected and will helps in taking
numerous decision relating to the operations, revenue generation and profitability.
Advice on how the organisation should be collecting the data
Information collection is the process of acquiring, assessing, and reviewing proper results
for inquiry utilising defined recognised protocols. A scientist's hypothesis may be evaluated
based on the evidence acquired in the instance. Information gathering is frequently the initial and
most important part in the construction approach, irrespective of the topic of inquiry. Alternative
techniques to statistics collection are employed in several fields of study depending on the
material required. As it can choose the best collecting methodologies as the researchers can use a
range of methodologies to obtain data. The initial question must be, "Do they intending to collect
subjective or statistical information?" Subjective information is made up of wide responses, like
that received from targeted groups and individual interactions. Polls, questionnaires, and
investigations yield subjective information, which is a compilation of related information. Also it
is very crucial to maintain database consistency as database credibility relates to the protection of
the material that is obtained (Nikolayevskyy and Omelchenko, 2018). By ensuring database
consistency, their organisation is able to produce more trustworthy and accurate insights. Users'
confidentiality is required for statistical quality. They seriously recommend, for instance, that
individuals' names be safeguarded by generating excellent authentication for each individual.
Preparing the personnel working in the company is also very important as the authenticity of the

corporation's information is largely decided by the workers. From drafting the survey to
conducting focused panel discussions to collecting, storing, organizing, and assessing
information, it is critical that firm personnel comprehend everything that they are undertaking. In
our opinion, everybody who works with information needs to be educated. Learning includes
things like employment possibilities, conferences, tutorials, reading relevant articles, taking
university programs, and connecting with professors and auditors.
A discussion on what strategies the organisation may use to get the most value
It is very important for the business organisation to adopt the various strategies in order to be
effective and add value to the business organisation. As having clear and the use of the focused
strategy is critically important for the business organisation and for its success in the market
(Aurini, Heath and Howells, 2021). There are various types of strategies which is effective and it
helps in the smooth functioning of the business organisation. Ther4e is the discussion in context
of the Sainsbury:
 Corporate strategy- This is the most commonly used strategy by the business organisation
which involves specifying the mission and vision of the business enterprise. This is the
most important and useful strategy for the Sainsbury as the organisation is involved in the
various product line. In this strategy the managers and the leaders of the company are
responsible for making the corporate decision in order to create value within the
organisation.
 Business level strategy- This is the strategy which is used by the various business
organisation to improve the revenue when it remains stagnant. This is suitable for the
Sainsbury has it is the large company where it is important for the managers to manage
all the activities and function within the organisation. This strategy focusses on
performing and taking initiative of the various activities effectively and efficiently so that
the organisation can attain the competitive advantage (Wang and et.al., 2019).
 Functional level Strategy- This is the strategy which is used by the business enterprise at
the department level. This strategy focusses on the various aspects such as whether the
business strategy and other are implemented in a right manner. This strategy concentrates
on governing all the day to day activities which is conducted in the organisation to

achieve the goals and objectives. The success of the different task is being measured in
this strategy.
 Data protection strategies- This is the another very important strategy for the Sainsbury
which the organisation can focus on and implement in the process of the data collection
for the various aspects and to know its customer well. This is the strategy where the
organisation can use the various privacy policies in order to maintain the data of the
customer’s safety which can be only used for the development of the product and services
offered by the busi4ens organisation (Swain, Hagaman and Leader-Janssen, 2021).
 Data encryption- This is the important strategy which is used by the Sainsbury in order to
create value for the organisation. As it is the large company and the marketers required
the various information through the surveys and the other aspects. The customers share
the confidential information with the company which is been collected by the
organisation to bring the improvement in the services. This requires the use of the various
software so that the information is not been leaked outside the business organisation.
 Digital strategy- It is also being identified that the Sainsbury adopts the different digital
for collection of the big data which further helps the organisation in adopting the various
aspects as per the expectations of the consumer. This is the strategy which assist the
organisation in performing the different operational functions in context of producing the
products.
CONCLUSION
From the above report, the conclusion which can be made that the big data analytics is essential
for the large supermarket. As it will give an idea about the consistency of the consumers. For the
data collection is very essential. It will help the firm in elevating the profitability of the company.

REFERENCES
Books and journals
Al-Qirim, N., Tarhini, A. and Rouibah, K., 2017, August. Determinants of big data adoption and
success. In Proceedings of the International Conference on Algorithms, Computing and
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Aurini, J.D., Heath, M. and Howells, S., 2021. The how to of qualitative research. Sage.
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In 2020 21st Asia-Pacific Network Operations and Management Symposium
(APNOMS) (pp. 126-131). IEEE.
Chomicki, G., Schaefer, H. and Renner, S.S., 2020. Origin and domestication of Cucurbitaceae
crops: Insights from phylogenies, genomics and archaeology. New Phytologist, 226(5),
pp.1240-1255.
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of Security Evaluation of Cloud-Based Business Intelligence Systems and Its
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Nelson, J., Berlin, A. and Menold, J., 2019, August. Archie: An automated data collection
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