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BIS Data Analysis Report and Excel File

   

Added on  2023-01-11

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BIS Data Analysis Report and Excel File
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BIS Data Analysis Report and Excel File_2

INTRODUCTION
Data analyzes provide a way of revising, purifying, converting and simulating software to
define important facts, inform conclusions and render decisions simpler. The analytical
knowledge covers a broad variety of measurements and approaches in many areas of industry,
scientific and social sciences including a large range of techniques (Devi, Devi and Kumar,
2016). Data analytics play a role in taking more knowledge related and offering to help business
in today's business world to operate more efficiently. Companies take definitive actions over the
subsequent time on top of the analyzed data collection. It includes comprehensive details on
various issues, such as the study of data generated by utilizing specific features such as PIVOT
list, sorting and several more. In addition to a graphic data study, various forms of diagrams are
often used.
TASK
Compare the South East region with the North West region:
a. Analysis:
Data analytics play a role in taking more knowledge related and helping company in today's
business environment to operate more efficiently. Data was obtained from numerous sources in
accordance with the research. Once data is gathered, a theory or some type of findings is tested
and measured. The data interpretation plays a significant position in the business when some
confusion or complexity emerges from the choices (Abkari, Chaabane and Guidara, 2016). The
interpretation of the data is a process of evaluating facts focused on logical and scientific logic to
examine strangely any element of the data obtained and portrayed. Data collection is the process
of inspecting, cleaning, converting and modelling data with the aim of discovering useful
information, suggesting findings and encouraging decision-making. Data analysts are working
with data to help their institutions make better informed decisions. Using methods from a range
of aspects, such as computer science, maths, and stats, data scientists draw conclusions on the
basis to describe, anticipate, and grow the business. They form the backbone of any analytical
team and tend to be general practitioners of computational and scientific analytical techniques.
BIS Data Analysis Report and Excel File_3

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