Using Data to Build Business Practices

Using data to build
business practices

Contents
INTRODUCTION......................................................................................................................4
MAIN BODY.............................................................................................................................4
Examine the data of both the countries South Africa and Kenya..........................................4
Select the question that are being analysed by considering at least six factors.....................5
Analyse the data for the questions company has chosen using the relevant summary
statistic....................................................................................................................................6
Recommendations and Findings............................................................................................9
CONCLUSION........................................................................................................................10
REFERENCES.........................................................................................................................11

INTRODUCTION
The key to effectively employing big data is to understand what it can assist an
organisation achieve. While big data is frequently associated with marketing and e-
commerce, it would have been an error to believe that data is just relevant to those areas.
Data can help businesses in a range of industries in a variety of ways, with proper analysis
helping a company to stand out from the competition. Such methods could also be used to
identify possible errors or fraud before they occur, which is extremely useful in the finance
system. E-commerce behemoths like Amazon and Walmart want to use data to their
advantage. By meticulously monitoring their clients' browsing history, these firms obtain a
deeper understanding of their clients, their habits, and their requirements. This information is
then put to better use in order to maximise the company's profits (Aboelmaged, 2018). The
data also enables the company to display things that specific customers are likely to demand
and take. The following case study examines a company that intends to expand its operations
into the African market. The company is also analysing several aspects that are active in
nations such as Kenya and South Africa for the same objective. The company must choose
one of the two countries indicated above, and data from the World Bank's website is being
analysed for this purpose.
MAIN BODY
Examine the data of both the countries South Africa and Kenya.
A dataset is a set of data or a collection of data. This data is typically presented in a
tabular manner. Each column represents a separate variable. Therefore, as per the subject,
each row corresponds to a specific data set member. This is a necessary step in the data
management procedure. Undefined quantities like as an entity's size, weight, warmth,
volume, and other attributes, as well as the outcomes of random integers, are represented as
data sets. The term datum refers to a group of values. Every row with in collection of data
corresponds to one or more members' information. In this post, we will learn about the
concept of datasets, various kinds of datasets, attributes, and more, as well as several solved
examples. The data set being evaluated for this research pertains to two countries named
South Africa and Kenya. Different elements are included in the report purpose of providing
insights to the firm on how challenging it is for the company to open up shop and run their
activities in the chosen country (Ali, Ally and Dwivedi, 2020).