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Data Driven Decisions for Business

   

Added on  2023-06-04

15 Pages2964 Words354 Views
Data Science and Big DataEnvironmental Engineering
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Data Driven Decisions for
Business
Data Driven Decisions for Business_1

Data Driven Decisions for Business_2

Contents
MAIN BODY.................................................................................................................................................3
Introduction and Project plan...................................................................................................................3
Data qualities issues and their remedies..................................................................................................4
Data Analysis and Commentary..............................................................................................................6
Data Charting and Commentary............................................................................................................12
Conclusion and Recommendation.........................................................................................................13
REFERENCES..............................................................................................................................................15
Data Driven Decisions for Business_3

MAIN BODY
Introduction and Project plan.
Making decisions is one of the most important and crucial steps for a business operating in the
current market environment. To build and retain a market edge in current economy and cross-
industry, corporate leaders must overcome numerous obstacles (Huang, et.al. 2019).
This study's goal is to analyze the development of the bangle sector in the UK as well as latest
situation. In addition, it comprises data evaluation and analysis to help a BIJ develop and flourish
in the sector within which it works. Additionally, each report contains improvement suggestions
that could benefit the company over the lengthy period.
The impact of a promotional campaign run in the UK on the overall sales of Bangles Global
Jewelry is also discussed in this study. This report explains predictive analytics, which can
increase BIJ sales on the international market. Data analytics include:
Observing client activity and how they react in terms of revenue
Regular monitoring of the creation process, which boosts sales.
The consequences of social media on an organization's sales results.
Pay attention to email marketing tactics
Research competitive analysis as well, paying attention to their strengths and faults.
The pricing model should be periodically and in accordance with market demands
optimized.
It is crucial for BIJ to solve the aforementioned challenges in order to hit the appropriate
marketing objective and meet the company's goals and objectives. (Joshi, 2019).
The profitability, customer employee retention, increased revenues, company responsible by the
organisation on a client-by-client premise, and service quality can all be considered key value is
reflected in the bangles sector. They can be described as follows: -
Additional profits includes: Jewelleries come in a range of materials, including plastic,
steel, wood, and glass. The company must first choose what kinds of bangles to sell in
Data Driven Decisions for Business_4

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