Dry goods to share: how to do sales data analysis of clothing stores

Products do not speak, the data itself does not speak, so how to know how the sales performance of a product? How is the value of the product? Does the product have potential? Whether there is an effect? Which stores have the best sales performance and so on ......

This needs to collect and organize a series of product sales performance data to judge. So clothing store sales data analysis how to do, can make the value of the data at a glance? We can refer to the following such clothing sales data analysis report:

As shown in the figure above, the multi-dimensional dynamic analysis report, which can help viewers to quickly view the clothing sales of different stores:

1, all the stores sales data indicators (sales, cost, volume, gross profit, the number of orders) at a glance;

2, easy to see the different regions of the revenue share of the

3, the value distribution of the sales data of each store at a glance;

4, the sales revenue ranking of each store is clear and intuitive;

5, the sales data indicators of different apparel categories and their detailed sales visually displayed.

With this sales data analysis report, we can adjust the combination of fields and dimensions according to our own analytical needs when browsing, thus realizing multi-dimensional clothing sales data analysis.

For example, we can start from the time dimension, through the selection of time period, to view different annual and monthly apparel sales data with the chain trend:

For example, we can analyze the regional dimension to view the sales of various stores in different regions and their detailed indicators:

For example, we can filter and analyze the performance of apparel sales data from the dimensions of the stores. For example, we can also analyze which categories have more sales value from the dimension of specific commodities, which can provide reference for the next stage of product selection:

Obviously, with the help of such a multidimensional apparel sales data report is characterized by: even if a lot of people with the same analytical dimensions of the data report adjusted to view the analysis of the data report, each other does not affect each other, and when the viewer re-opens the report, the presentation will still be the same. When the viewer re-opens the report, the presentation is still the previous preset combination of report fields and dimensions.

Of course, the production of apparel sales data analysis report makes many people headache than the need to re-formulate from time to time, the process is repetitive and cumbersome. But with the BI after the production of the above data reports can be set up to customize the update program, so that the report data is automatically updated, so that the next time you need to use the report, do not need to spend extra time and energy to repeat the tabulation operation, you can easily browse to the clothing store sales data.

Note: The above data sheets are for reference only.

Note: These data reports are for reference only.