Media--bi Tools for retail industry data analysis

When you need to analyze useful information and conclusions from a bunch of complex data, you must feel overwhelmed; the redundancy of data makes it difficult to analyze. Today we will talk about the "means" of making data analysis simple and effective.

For today's Chinese retail industry, the market competition is increasingly fierce, the development of e-commerce has brought a new round of traditional physical stores, the cost of high costs, profits continue to lower; the other aspects of the retail industry are not discussed here, Now we are mainly looking at the data analysis of retail industry from several indicators of KPI through BI tools

What can you see in a picture? Sales Amount? Maori? Inventory? Much more than that, let's take a look at the following example:

As shown, we can see not only the amount of sales, gross profit, inventory, but also the gross profit margin, turnover, sales accounted for, gross contribution rate and cross-ratio of several less commonly used indicators. Not only that, but also can see the indicators of the same period last year (or previous period) of the value and the year (or chain) of the situation;

In the case of the use of BI tools, the types of goods, time, brand and other dimensions of the attributes of the above-mentioned indicators of the calculation and analysis; so that we can be more intuitive analysis of the company's sales situation.

In addition, we can also through the BI tool on the operation of the store to do an analysis, evaluation of the store operating level KPI indicators are very many, evaluation efficiency, human efficiency, task completion rate, and so on, these indicators are more to reflect the results, and not reflect the process, now we use BI tools on how to increase the amount of this piece to do an analysis

From what we can see, the composition of the sales amount, decomposition into a few embodiment of the process, but also linked to the indicators, a store operating level of good and bad is obvious, then we see what the problem?

We can clearly see that the sales volume of the current period fell by 9.2%, why this situation is caused?

We follow this performance number, found that the traffic is slightly increased by 1.8%, mainly because the customer unit price drop of 10.8% to drag. So why is the guest unit price drop so obvious? This requires us to have more data to analyze, if we can again from the dimensions of the various categories to analyze, we can quickly find which category of customer unit price drop the fastest, and then layer to expand to each class, small class, and even can be targeted to a specific product; We also need to store from the point of view, To see if all the stores are experiencing the same problem, or because a few of the higher stores have this problem? Or, can we see from the time dimension that there was a similar trend over the same period last year?

Only from these figures, you can probably get a conclusion: although the traffic is slightly increased, but because of the rapid decline in the price of goods, resulting in a significant decrease in the customer unit price, so, resulting in a sharp decline in sales.

What can the data tell us? Through data mining, we can obtain effective information to better serve the company, use BI tools to conduct a multidimensional analysis of the data, and effectively integrate the data, quickly and accurately provide the chart and identify the problem and the basis for decision, this is the advantage of the BI tool compared to other data analysis means, Choosing BI tools to analyze data can make data analysis more effective, which is the trend of BI tools to use in data analysis.

Among the many BI tools, we power-bi also can do the above mentioned advantages. If you are given a bunch of data that you dig out of useful things, using Excel these traditional charts to express should be very difficult, but if you use Power-bi to do, it can not only multi-dimensional analysis and mining data, but also through the establishment of a dashboard to drill data, to achieve graphical automation of the report, The data from the anomaly, and then we propose solutions, and these solutions we can achieve dynamic report analysis, characteristic analysis model, including early warning analysis, hypothesis analysis, factor analysis, so that we can power-bi according to customer needs and problems encountered, propose solutions, To make the decision-maker satisfied.

For details, please visit the POWR-BI website: http://www.powerbi.com.cn/more.asp?id=1073

Media--bi Tools for retail industry data analysis