Business Decision Making, Data Analysis and Online Shopping Trends

This report delves into the realm of business decision-making, emphasizing the pivotal role of data analysis in shaping effective strategies. The study explores the impact of online shopping on business operations, analyzing customer behavior and sales trends. Employing a mixed-methods approach, the research incorporates primary and secondary data collection methods, including questionnaires administered to a sample of 60 respondents. The report presents findings on customer preferences, mobile app usage, and sales figures, illustrated through charts and graphs. Key insights include the positive correlation between online shopping and increased sales and net incomes. The research also highlights the significance of mobile apps in facilitating shopping experiences. The report underscores the importance of data-driven insights for making informed decisions and adapting to evolving market dynamics. The report also includes the use of trend lines to project future sales and profit.

Business Decision Making
INTRODUCTION
Business decision making is utmost important
aspects which will be effective enough to increase
overall productivity for an organization. This has
been selected from wide set of best alternatives in
order to attain future aims and objectives those are
set by an organization.
Research Methodologies
• The primary purpose of this
particular study is to eliminate literature
gaps those are arising in an organisation.
• Two main sources of data collection
methods is being used in this research
(Primary and secondary).
• Through various charts and graphs
are used to make predication of future
impacts on mall as shops.
• A valuable set of questionnaire is
being prepared from total 60 respondents.
Objective
The main aim of using effective
decision is to analyse research to evaluate
implication in regards to use of digital
technology for shopping malls and shops.
Data Analysis
• It is necessary for various customers to make
profitable planning for future period of time.
• Plenty of estimation is made on online booking and
payment done within an organization.
• Slight improvement in quality should be improve for
various products.
Finding
Recommendation
• Every respondent are indicating valuable
outcomes to the researchers those are selected for
the purpose of research.
• The major increase is showing in total
sales and overall net incomes that are generated for
the company.
• Most of the customers are happy enough
to use various mobile apps for shopping purpose.
Trend line
year Sales profit
2018 155000 45000
2019 205000 50000
2020 250000 62000
Schneeweiss, C., 2012. Distributed decision making.
Springer Science & Business Media.
March, J.G. ed., 2013. Handbook of Organizations (RLE:
Organizations) (Vol. 20). Routledge.
Data Interpretation
1. In which age group you belong to?
Particular Respondents in %
18-20 35
20-25 10
25-30 8
More than 30 7
Total 60
Have you ever do online shopping ?
Particular Respondents in %
Yes 45
No 15
Total 60
References