thanks! I didn't even know what data science was about. These examples remind me of when we build a "suggested" inventory from monthly sales.
The idea was to make a sales report to later determine the most sold, the most productive and suggest the purchase of products to fill the inventory for the following month.
There were certain tendencies and errors. For example, for the best sellers they were always the same products, small things that were sold very often but it was not the strength of the business, that damaged the report. The most productive was a very expensive product that was sold once a year. Certain days there were rebates or big sales on certain dates of the year and that affected the suggested inventory by indicating that the product was high turnover when in reality it was an isolated event.
In conclusion, analyzing data can be very complex. I would like to learn more about data science and python.
Glad you liked it!! I'm planning to continue and hopefully the next part will cover some topics on time series analysis. Hope that's gonna answer some of the confusing questions.
thanks! I didn't even know what data science was about. These examples remind me of when we build a "suggested" inventory from monthly sales.
The idea was to make a sales report to later determine the most sold, the most productive and suggest the purchase of products to fill the inventory for the following month.
There were certain tendencies and errors. For example, for the best sellers they were always the same products, small things that were sold very often but it was not the strength of the business, that damaged the report. The most productive was a very expensive product that was sold once a year. Certain days there were rebates or big sales on certain dates of the year and that affected the suggested inventory by indicating that the product was high turnover when in reality it was an isolated event.
In conclusion, analyzing data can be very complex. I would like to learn more about data science and python.
Glad you liked it!! I'm planning to continue and hopefully the next part will cover some topics on time series analysis. Hope that's gonna answer some of the confusing questions.
oh that's nice. i'll follow for any next part. 🙌