Opportunity for Morrison: Data Analytics and Business Intelligence

Data Analytics

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
Opportunity for Sainsbury...........................................................................................................3
Theoretical framework.................................................................................................................4
Analyzing the data.......................................................................................................................8
Justification for dashboard application........................................................................................9
CONCLUSION..............................................................................................................................11
Recommendations......................................................................................................................11
REFERENCES..............................................................................................................................13

INTRODUCTION
Data analytics assists organization to make proper sense of data and it help to analyze
raw data to determine trends. There are ranges of software available for the company which
assists business to make better decision. Similarly, the present study based upon Morrison, one
of the top supermarkets in UK who offers range of groceries to their customer at reasonable
rates. In this, study will reflect opportunity regarding business and for that Business Intelligence
(BI) will be used in order to extend its operations through correct decisions. Also, with the help
of dashboard, study will also justify the opportunity and provide benefits of using such data
analytic solutions.
Opportunity for Morrison
The advancement in technology is consider one of the best opportunities for retailers
because it helps relies upon facts and can be used by employers to extract actual facts, as
identified through technological factor (PESTLE analysis). For example, big data technologies
such as Hadoop Framework is used to store and process data through simple programming model
in distributed data processing. On the other side, Artificial intelligence is used to increase the
customer loyalty in which Robotics can be used in order to attract the customers (Buhalis and
Volchek, 2021). Similarly, Morrison wants to extend its operations and increases its future sales
as well as revenue by implementing different practices as well as adopting analytical system
more efficiently. This strategy also helps to minimize the time and saves time which can be used
by employers somewhere else.

Figure 1: HADOOP Framework
From 2020, the entire world is suffering from the pandemic and that is why, it become an
opportunity for the company to introduce such facilities that helps to minimize the impact off
such things. Like, robots will help company to attract range of new customers and serve them as
well. Earlier, employees who were stuck to provide essential service to customer can be replaced
by robots and this is a great opportunity for company because its competitor already uses the
same in order to improve the performance (Dubey and et.al., 2021). In addition to this,
advancement of technology also included self-driven cars, fir already have its online operations
and to extend its operation, it is also consider the best opportunity in order to raise the brand
image and increase customer loyalty as well. Further, by using the Pestle framework it is
analyzed through political and economic factor that Covid-19 also affect the sales of a business
in negative manner and that is why, offering products online with self-driven car assist to
increases sales. Amazon already uses this technology in some parts so it helps a business to
improve sales and encourage people to change their buying pattern as well (Nikola, Schulz and
Ivanochko, 2021)..
Theoretical framework
Business intelligence (BI)