E-Business Application Analysis: Revenue, Product Type and Gross Margin Trends

Running head: E-BUSINESS APPLICATION
E-Business Application
Name of the Student:
Name of the University:
Author’s note:

1E-BUSINESS APPLICATION
Table of Contents
Description of the data...............................................................................................................2
Prediction and Analysis..............................................................................................................2
What are the values of Revenue by Country?........................................................................3
What is trend of revenue over quarter by product type?........................................................4
What is trend of gross margin over quarter by product type?................................................5

2E-BUSINESS APPLICATION
Description of the data
For the analysis we have chosen the sales product dataset. The sales product dataset
provides information regarding the sales of products from 2012 to 2014. The information of
the sales of the products is spread across quarters. Figures related to revenue from the sales of
the products, quantity and gross margin from the products is also provided. The data provides
information across several countries. In addition, information is also provided regarding the
method in which the order was placed. Further, the evidence regarding the sales is broken
down into retailer type, product type product line and product.
Prediction and Analysis
From the vast array of questions thrown up by Watson analytics we choose three interesting
questions. The questions are –