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Natasha is a client and her goal is to increase the profit by 10% in next year. The given data is in excel format. You can do it in google collaboration. Please include at least 6 analytics to help Natasha increase her profit. The whole should have menu in the code. Please let me know if you have any question. Please use similar code as intro to pandas. We have to 6 new analytics beside already present there
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INDIVIDUAL RECOMMENDATION REPORT
Goal: Provide a location-based recommendation in support of Natasha’s goal to increase
profits by 10% in the next year.
With the goal of improving profits in mind, I reviewed the
sales data provided by Office Solutions. My preliminary,
high-level analyses revealed regional differences in both
profits and sales, specifically that the Central region
generated the third most sales ($501,240) but the lowest
profit ($39,706) of any region over the last 4 years. This
finding lead me to look more closely at the Central Region,
beginning with an analysis of Central states’ sales and
profits. Table 1 presents the five least profitable Central
states indicating Texas is the most unprofitable despite high
sales. Within Texas, the four highest sales cities, Houston,
San Antonio, Dallas, and Huntsville, collectively have sales of
$113,000 but -$21,000 in profits. This information was concerning and influenced my decision to
focus on Texas in my analyses.
I then investigated the profitability of each sub-category in Texas.
As illustrated in Table 2, nine out of the 17 Sub-Categories have
negative profits. To understand why these Sub-Categories are
unprofitable, I calculated their average discounts rates (Table 2)
noting discounts range from 20% to a high of 80%. All the Sub-
Categories with more than a 20% average discount in Texas have
negative profits. This suggests a
discount rate of 20% is a critical turning
point in Sub-Category profitability, yet
the average discount across Sub-
Categories in Texas is 37%.
Lastly, I investigated the monthly sales
and discount trends in Texas finding the
lowest sales in January and February
and the highest sales in September and
November, as seen in Table 3.
Interestingly, this table also reveals that
January and February had higher
average discounts than September and
November, suggesting higher discounts
do not lead to higher Sales in Texas.
Recommendation
Given the many high discounts rates in Texas, their negative impact on profits, and their
ineffectiveness in boosting sales, I recommend Office Solutions lower the discount rate in Texas to a
maximum of 20% to improve the company’s profitability in this state.
Table 1: The Five Least Profitable
Central States
Table 2: Sub-Category Profits &
Discounts in Texas
Table 3: Texas Monthly Sales &
Discounts
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