Shulou(Shulou.com)06/03 Report--

With the arrival of the era of big data, data analysis has become a very important part of the retail industry, but also the basis of fine operation. In addition, data solution standards in the retail industry are evolving, and more retail and consumer goods companies are opening up their data to managers and front-line employees. As a result, people increasingly need tools that are faster, simpler and support mobile devices.

How to solve the real-time storage and update of purchase, sale and storage data in the retail industry is the most critical aspect, which is also the basic requirement of the data solution. From the printing of goods sales shipping documents to the inventory accounting of goods documents; from the generation of entry and exit records to the calculation of real-time inventory quantity; from the accumulation of customer payments to the inventory of financial income and expenditure. These data factors are the top priority affecting the development of a certain retail industry.

In view of the above, the retail industry faces the following major problems:

1. The number of customers in the store has declined, resulting in the loss of customers.

two。 In the face of many customers, I don't know how to analyze the turn-back rate of customers.

3. How to transform massive data into Commercial value

4. There is still a lot of room for data mining, especially for user value analysis.

5. How to reasonably reduce the demand of the whole purchase, sale and inventory according to the demand, so as to obtain the optimal ordering policy

A complete data solution must meet the following functions:

Analysis of sales situation

From the chart "sales analysis", we can clearly see the proportion of gender clothing categories (top and bottom), of which men's top accounts for the largest proportion, and men's sales are the highest. According to this situation, we can consider putting emphasis on men's coat when restocking. From the "monthly sales situation" area chart, we can see that the actual sales and the number of sales in February, March, November and December are significantly higher than those in other months. This gives us an obvious direction of purchase: in order to meet customer needs, stocks must be sufficient in February, March and November and December.

two。 Clarify the financial situation and grasp the ability of purchase, sale and storage

From the "capital structure" pie chart, we can see that fixed assets and monetary funds are the two largest funds in this store. On the right side of the pie chart is the balance sheet, which uses the Tableau visual report function of "highlight table" and uses the color "highlight" way to make our balance sheet clear at a glance.

3. Intuitive financial statements

The traditional financial statement is a table composed of a series of numbers, which has the advantage that all the detailed data can be traced, but it can not directly reflect the trend and structure. The comparative structure and trend of all kinds of operating income are shown visually, and the comparative analysis of all kinds of income and budget is added.

"big data's solution not only increases our sales, but also reduces our costs, has a direct effect, and enables us to gain insights more quickly. at the same time, it also allows us to achieve all the goals of our position faster and better. I think it will have a huge and positive ripple effect throughout the organization." -Director of offline retail operations.

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