Power BI and DAX provide some impressive capabilities which allows us to perform many types of sales / purchase analysis and customer analysis. We will see much of that in this course.
Basically, a sales analysis is a detailed report, or set of reports, that shows a business's sales performance, as well as customer data and generated revenue, profits, and profit margins. The report defines the strengths and weaknesses of products and sales efforts by referencing historical and current metrics to detect emerging trends that are most relevant to a company.
Sales and customer analysis provides critical values from which analysts can make important business decisions. This enables management to make data-driven decisions rather than relying on guesswork. With insights into various sales channels, companies can discover where their most-profitable customers lie, where additional promotions are needed, and which products need quicker turnover or retirement.
A suite of customer and sales reports gives businesses the ability to pinpoint performance weaknesses and make effective improvements to promote sales, revenue, and profits.
There are at many types of customers, sales, and purchase analysis methods. Power BI and DAX have the breadth and depth of functionality to allow us to perform analysis such as:
In this course you will learn how to perform all of these types of analyses and much more. And you will get to work on a fun project at the end of the course.
Techniques for performing customer, sales and purchase analysis
Cohort analysis
Customer segmentation
Cluster analysis
Ranking sales on multiple columns
Cross-selling analysis
Tracking trends in sales
Some familiarity with Power BI and DAX will be helpful
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