What are some common mistakes in sales data analysis?
Some common mistakes include not cleaning the data, ignoring outliers, and failing to segment the data properly.
Can you explain why cleaning data is so important?
Cleaning data ensures accuracy and reliability, which are crucial for making informed business decisions.
What are outliers, and why should they be considered?
Outliers are data points that differ significantly from others. They can skew results and lead to incorrect conclusions.
How can I effectively segment my sales data?
You can segment sales data by demographics, purchase behavior, or geographic location to gain deeper insights.
What tools can help with sales data analysis?
Tools like Excel, Tableau, and Google Analytics are great for analyzing sales data and visualizing trends.
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