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Effective Data Viewing in Sale Trend Analysis by using Data Cube

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Effective Data Viewing in Sale Trend Analysis by using Data Cube


Myint Myint Yee | San San New | Myat Mon Kyaw



Myint Myint Yee | San San New | Myat Mon Kyaw "Effective Data Viewing in Sale Trend Analysis by using Data Cube" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2098-2100, URL: https://www.ijtsrd.com/papers/ijtsrd27836.pdf

Most retailers wish they knew more about their sales and customers’ buying habits. They want to know the right levers to push and pull to increase sales and customer satisfaction. However, there are many obstacles in their way that keep them from these insights. It could be that their data is split between disconnected systems or that they are dealing with legacy systems that can’t keep up. It’s complicated to converge the sales from different online and offline sales channels for analysis. Centralized the location and using the Data Cube gives benefits for business such as knowing the sales trends by product type, region, or time period and knowing how much inventory you have of each product easily. This proposed system will discuss what capabilities need to perform sales trend analysis and contribute the sales trend analysis effectively by using Data Cube in viewing data.

Data Cube, Sales Trend


IJTSRD27836
Volume-3 | Issue-5, August 2019
2098-2100
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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