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Title: Data analytics for visualization of business insights for an online retail store using Python
Authors: Arun Kumar Mishra, Megha Sinha, Sudhanshu Kumar Jha
Journal: International journal of management & entrepreneurship research
Year: 2024
Volume: 6
Issue: 10
Language: en
DOI: 10.51594/ijmer.v6i10.1636
In today’s world, data is becoming an organization's most important asset. Businesses have easy access to large amounts of data from a range of sources, and when those data are processed quickly and reliably, the chances of obtaining useful insights to inform data-driven decision-making are significantly increased. Modern corporate strategy must include data analytics because it offers critical insights that improve operational efficiency and decision-making. Using data analytics to visualize company insights can significantly improve a number of areas for an online retail store, including marketing strategy, customer experience, inventory management, and sales. This paper aims a thorough examination at the main areas, methods, and approaches that may be used to delve into business insights using data analytics, as well as the advantages it has for online retailers using a sample online retail dataset..
Keywords:  Data Analytics, Data Visualization, Inventory, Sales Analysis, Descriptive Analytics.
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