It’s very important in today’s competitive environment to know as much about your customer as you can. Using Power BI can enable you to understand vital statistics such as what products, area and day customers enjoying shopping at your business. One of the basic and most important ways to learn about your customers and your business is by statistical comparison. And Power BI helps to do it easily.
Below is a sample report with Power BI to extract your customers data based on sales and customer information. These data sources are pretty simple to obtain and every company should record; products, branch, date, and customer ID if possible. There are 3 areas in this report, basic information area, graph area and filter area.
Customers are classified into 4 groups depending upon their sales. The highest sales group is named STAR, followed in descending order by PROMISING, NOVICE and NEW.
When you begin analysing your company sales, it is important that you include basic information such as;
– branch sales per month
– sales per customer, expressed as a percentage
– what your top selling products are, and how many customers buy those products
Even though you may already know this instinctively, using this chart makes it easier to share those information with your colleagues. Furthermore, you can immediately start comparing various views with a simple click. This chart enable you to drill down into your sales data, correlating the main factors that affect sales.
For example, when you want to find out which product has the potential for increased sales, one of your research options is customer segmentation.
For example, you might find that more ‘Star’ customers buy Group C products, (especially C3 and C5), than other customers, and this tendency is particularly prominent in your Hamilton branch.
Now you focus on C3 in detail so that you can find some ideas to increase sales in other branches.
There are many options to gain new insights from existing company.
I am confident that it will give you a good starting point for your sales and customer analysis.