Data Driven Decisions for Business - Analysis and Recommendations

BPP Business School
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Data Driven Decisions
for Business

Table of Contents
TASK...............................................................................................................................................3
Introduction and Project plan......................................................................................................3
Data qualities issues and their remedies......................................................................................4
Data analysis and commentary....................................................................................................6
Data chart and give the comments on the basis of the results...................................................12
Conclusion and Recommendations...........................................................................................13
REFERENCES..............................................................................................................................14

TASK
Introduction and Project plan
Data driven decision making can be described as taking guidance of facts, metrics and
data throughout the process of strategic business decision in order to attaining goals. Every
business requires to take data driven decision which encourages the curiosity or critical thinking
among workforce. Employees at every level of management should develop skills of handling
data with application. Numerous models are available that can assist business in making their
strategies more successful (Badakhshan and Ball, 2021). The following report has the purpose of
highlighting various new trends of jewellery sector and analysis of these trends across UK, USA
and Japan. Moreover, it also reflects analysis and interpretation of data in terms of flourishing in
the whole industry. Further, report also discuss few recommendations about the ways through
which businesses can make greater achievements in short as well as long run. For showing
analysis of data, sales figures of Bangles International Jewellery (BIJ) is used.
The analysis and evaluation of data would boost sales level of BIJ in the global market.
This data analytics breakdown is presented below:
 Observation of the behaviour of customers and their responses in context of companies
sales.
 Essential role played by social media in performance of organisation.
 Tracking the components regularly that can enhance the overall sales.
 Observing the strategies or tactics uses by competitors that can support in determining
their strength or weaknesses.
 Identifying strong as well as weak points of company.
 Rearrange the whole price structure according to the current market requirements.
In order to achieve the predetermined sales target it is essential for the business BIJ to
replicate towards the challenges explained above (Brunoe, Andersen and Nielsen, 2023).
Identifying best suitable solution for these problems would help in accomplishing the objective
of BIJ.
The tools that can help in enhancing the performance of Bangles International Jewellery
are profit growth, sales received by the company per consumer base, margin of profit, rate of
customer retention and satisfaction level of customer. These all are described below: