Retail Analytics using Microsoft PowerBI

Retail Analytics using
Microsoft PowerBI

Gain market insights, understand customers and improve
supply chain efficiency with interactive reports, dashboards and insights

Retail Analytics using Microsoft PowerBI

Gain market insights, understand customers and improve supply chain efficiency with interactive reports and dashboards

Retail sales involves the purchase of finished goods by the customer. For example, you walking into a Tesco or a Fairprice and buying a carton of milk. Today, with the rapid increase in the amount of data collected from different touchpoints at retail sales, there is an increasing demand for this data to be used to derive actionable inferences and insights which can help both the business and the customer. This in technical jargon is what we term – analytics.

Sales analytics is a process to identify, model, understand and predict sales trends and sales results while helping in the understanding of these trends and finding improvement points. It is used to determine the success or failure of sales activities in a business and also to allow them to prepare for the future.

Every sales activity is measurable. There is more data than ever before. In order to have control over sales performance, use sales analytics and the right tools like PowerBI!

Where does the data come in from?

Data comes in from various sources such as application transactions, surveys and internal applications. All these are collected and analyzed to find relationships and opportunities that may be used by the organisation.

Sales analytics reports and dashboards – How do I go about doing it?

Below is a short video demo on how PowerBI, a growing Microsoft Business intelligence tool, has been used on a sample sales data, to give insights to the business about sales, products and customers. The sample data consists of sales transactions captured by POS systems based on customer transactions and using this data, the demo walks through multiple reports and drill downs to give the organisation deeper information. It also shows the ease of use of a tool like PowerBI with huge data, both for simple and complex reports.

Why monitor sales analytics?

Enhancing the reports

In our next case study, we will talk about how such reports can be extended to have elements of predictive analytics and machine learning which will further help the business use these insights to drive sales and reach out to customers better. Systems such as recommendation, stock prediction and others can enhance the usability and effectiveness of such reports.


Want to know more?

If you think this solution would be useful for your organization or you have a relevant use case or pain point you would like to tackle, get in touch with us today and we can help you and work together towards a solution!

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