Data Driven Decisions for Business - Desklib

Data Driven decision for business

TABLE OF CONTENTS
Summarize the key changes and trend that leading to increase importance of data analysis......2
Presenting the analytical approach uses to answer question.......................................................3
c.i) Outline the steps taken for cleaning the data.........................................................................3
ii) Analyzing the data...................................................................................................................4
CONCLUSION................................................................................................................................6
Recommendations........................................................................................................................7
Critically evaluate the use of other analysis for Bangles.............................................................9
REFERENCES..............................................................................................................................11

Summarize the key changes and trend that leading to increase importance of data analysis
In the modern era, organizations need to stay ahead in competition and for that they use
different data analysis technique that helps in smoother their business operations. This in turn
also helps to enhance the importance of data analysis. Thus, the key trends and changes are as
mentioned below:
Augmented Analytics: It is one of the most important data analysis trend which explains
how business should explore and analyses the data in the platform (Demir, 2017). This further
helps decision-makers to access the data and understand the key trend that might affect their
business. Therefore, it increases the interest within a business and stronger data also assist to
make decision faster and improve the business operations as well.
Data become more democratized: After pandemic, IT industry become more aware and
start working on the tools which provide ways to grow business. Therefore, with the
advancement in technology and computing, enterprises are deploying self-service business
intelligence (BI) models which determine the pattern in their data (Sizemore and et.al., 2019).
Along with this, with strong collaboration with team member, that enable them to realize the
maximum value for insights. On the other side, this BI is driven by Artificial intelligence (AI)
which is completely automated and this also increase collaborative efforts between the
departments for smooth functioning.
Automation: It is another trend which also increases the importance of data analysis
within companies. The entire data is based upon the automation in big companies like Bangles
which also helps to pick up the market trend easily and stay ahead in a competition. This is
possible when businesses have enough knowledge of data analysis and tools used in this. For
example, NPL is a tool used for analysis the data by translating natural language queries into a
language for obtaining better results (Gibson and Mourad, 2018). Similarly, there are many tools
which assists business to extract necessary information through marketing, social media post so
that effective results can be generated.
Data analytics move towards cloud: With the emerging data information, most of the
enterprises move their data storage to cloud and this helps to make their data safe. Earlier, data
warehouse found in different physical storage server like Oracle Exadata, but now the entire data

is shift towards Cloud which is free from security hurdles. This in turn entails that with the
development of new data analysis, enterprises and bog business uses such aspects for generating
the bets outcomes and improve the performance of a company as well (Greenfield, Wittorff and
Hultner, 2019).
Presenting the analytical approach uses to answer question
Analytical approach is used to breakdown a problem down into an element so that
effective results can be found. There are different approaches used by the scholar or business as
per their need or question (Carmon and Ben-Dor, 2017). Here, in the context of present case
study, Excel as an analytical approach has been used which entails that the impact of marketing
campaign on the sales performance in UK. The main benefit of using this method over other is
such that it holds the data point in each cell and then organize the same in such a manner that
assists to extract actionable insights. Apart from this, there is a wide data of different companies
and through this approach, Bangles make customize field that assists to make effective
calculations in order to generate outcomes and answer. In addition to this, Excel is simple to use
and provide prompt results as compared to other and that is why, Bangles uses this method in
order to determine the impact of marketing campaign over sales. Thus, it can be stated that Excel
is an excellent tool for data analysis and with the help of its different functions, quoted business
can also generate the best outcomes according to its business question.
Another reason for choosing this method over other is such that it is a tool which is easy
to use and also provide data visualization with charts in order to generate the best results and
analyze the data in effective manner (Cleff, 2019). Also, the data set contain enough data of all
other countries and with the help of excel as an analytical approach, it cleans the data which is
not necessary and also helps to generate the effective results. However, it is not possible in other
analytical tools because cleaning and transforming is mostly used in Excel which assists to create
a best outcome and answer a research question as well. That is why, to perform calculations and
make comparison of UK from other countries, Excel is suitable method to analyze data as per the
need.
c.i) Outline the steps taken for cleaning the data
It has been clearly identified that in order to determine the data, excel as an analytical
tool used and the data contain many countries, whereas as per the given question, bangles have to