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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM20980
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rise in information in daily life has resulted in a highly rapid generation of data. A vast volume of data that is challenging to analyse and utilise accumulates from numerous organisations. These data are challenging to process, analyse, and communicate. Every day, massive amounts of sales information are poured onto online purchasing platforms. For information retrieval, it is challenging to analyse and visualise this data. A system that can efficiently analyse and visualise data is therefore needed. The system that will let users apply intelligence to business, generate money, make decisions, manage business operations, and monitor task progress is the main topic of this paper’s discussion. We will analyse the global sales data using IBM Cognos Analytics to find patterns, connections, and correlations. The product recommendation system can help us increase revenue quickly. To better comprehend and meet consumer wants, the customer segmentation feature is implemented. Both the pricing will be optimised and your connections with them will be better as a result. Finding solutions that can be suitably disguised for a specific problem will help to arrive at the best solution. Exploring relationships in the data and visualising the data will provide a speculation and guesstimate of occurrences.
KEYWORDS
Publication Date
12/4/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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