The Advantages of Implementing Big Data Decision Making in Tesco

This report discusses how Tesco, a British general merchandise retailer, uses big data to control heating costs, improve value chain, and make confident decisions. The report explains the three parameters of big data, which are volume, velocity, and variety, and how they play an important role in Tesco's data systems. The advantages of implementing big data decision making in Tesco are also discussed, including awareness throughout the business, data as market research, and confident and quick decision making.

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Table of Contents
INTRDOUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
CONCLUSION................................................................................................................................1
REFERENCES................................................................................................................................2

INTRODUCTION
Big data defined as the collection of data that is considered to be huge in volume. In this
report the organisation chosen Tesco. It is a British based general merchandise retailer founded
in 1919 and headquartered in Welwyn Garden City, United Kingdom. In relation to Tesco, the
company uses big data in order to control heating costs and lighting, improving value chain,
appending channels and much more.
MAIN BODY
The big data is basically the form of collection of the data in order to set the complex and
large that it usually becomes difficult to process with the use of traditional data and management
resources. The big data is basically characterized into Variety, Volume and Velocity. In context
to Tesco, there are various advantages of implementing big data decision making in the
organisation:
Awareness throughout the business and improving transparency: In context to Tesco, the
information is considered to be valuable source in the data driven company and it helps in
understanding the behaviour of the consumers (Stephenson, D., 2018).
Data as Market Research: In context to Tesco, the organizations collects huge volumes of data
over a period of time and this helps in providing insights into preferences of the customers
(Ghani, N.A., Hamid, S., Hashem, I.A.T. and Ahmed, E., 2019).
Confident and Quick decision making: With the help of big data it helps in supporting
decisions and in context to Tesco, the data drive organisations are move quickly in a confident
manner with their decisions (Shams and Solima, 2019).
In context to big data, it comprises of three parameters which comprises of velocity, volume and
variety which are basically the three properties or the dimensions of big data. The volume
basically comprises of the amount of data, velocity can be defined as the speed of data
processing and variety relates to the number of types of data. In context to Tesco, the three
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parameters plays an important role in the organisation. The organisation uses data systems for
the purpose to create personalized marketing campaigns, better customer service, improving
operations and increasing profits and revenues of the company. In context to Tesco, process and
store big data have a similar component of data in the company. In context to Tesco, big data is
usually defined by three V’s which comprises of large volume or data in various surroundings,
the velocity at which the information is generated, processed and collected and wide variety of
various data types to be frequently stored in the big data systems.
CONCLUSION
In context to Tesco, the big data involves a wide range of data types involves structured data
which comprises of unstructured data, transactions and records of finances which involves
documents, multimedia and files and text and semi structured data which is web server logs and
streaming data. In context to Tesco, the velocity is considered to be the speed at which the data
is processed and created and it helps the organisation in expanding into artificial intelligence and
velocity.
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REFERENCES
Books and Journals
Ghani, N.A., Hamid, S., Hashem, I.A.T. and Ahmed, E., 2019. Social media big data analytics:
A survey. Computers in Human Behavior, 101, pp.417-428.
Shams, S.R. and Solima, L., 2019. Big data management: implications of dynamic capabilities
and data incubator. Management Decision.
Stephenson, D., 2018. Big Data Demystified: How to use big data, data science and AI to make
better business decisions and gain competitive advantage. Pearson UK.
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