Profit Maximization: Exploratory Data Analysis

Contents
Memorandum.............................................................................................................................ii
Introduction................................................................................................................................ii
Featured Output from the Data.................................................................................................iii
Comparison of the Average Profit against the Subcategories..............................................iii
Comparison of the Average Profit Against the Categories...................................................iii
Comparison of the Average Profit Against the Regions.......................................................iv
Comparison of the Average Profit Against the Regions.......................................................iv
Summary and Conclusion..........................................................................................................v
References.................................................................................................................................vi
Appendix.................................................................................................................................viii

[Insert Your Last Name] ii
Memorandum
TO: Board of Directors
FROM:
DATE: April 21st, 2019
SUBJECT: Profit Maximization
Introduction
The growth of the online market platform has seen the company witness competition
from other platforms that are cropping up fast. For the company to remain afloat it must
leverage on one of its most important tool which is data (Chaudhuri).Data-driven business
decisions have the ability to turn around the profits of the company and improve efficiency in
terms of service delivery (Tomoki and Keiji). The data provided shows that technology is the
largest contributor to the profits of the company in the category section (Sakuluk, John and
Short). The largest profit-making sub-category is the copiers. The company paid out a total
discount of $1561 to some of its clients (Gardner-Lubbe, Roux and Maunders). The total
revenue from the data set was $2297201. Although the company registered losses in some
subcategories, the net profit stood at $286397.

[Insert Your Last Name] iii
Featured Output from the Data
Comparison of the Average Profit against the Subcategories
This graph represents the average profit received from the regions. The differences
recorded are quite insignificant
Comparison of the Average Profit Against the Categories

[Insert Your Last Name] iv
The technology category recorded outstanding profits with an average of $78.8. Low
profits for furniture can be attributed to the relatively low demand experience in that area
(Habbash, Franz and Stevenson).
Comparison of the Average Profit Against the Regions
The profit difference between the regions was quite minimal. The central region is
still lagging far behind (Julie). The company should consider running a targeted marketing
campaign to reach out to more people in the central region (J, Tremayne and Marriott).
Comparison of the Average Profit Against the Regions