Microsoft Power BI is a popular choice for business intelligence tools because it is easy to learn, even for non-technical employees. Power BI is described as a self-service tool, meaning that users don’t need advanced skills in data analytics or engineering in order to use Power BI. Data science professionals, department managers, and administrators alike may leverage Microsoft Power BI to create data models, share reports, and measure departments’ or individual employees’ success against business goals. There are many free and paid resources to help you learn how to use Microsoft Power BI, f

Tableau and Power BI are both popular software tools for data analysis and business intelligence. Some users prefer Power BI because it is somewhat easier to learn than Tableau and comes at a more cost-effective price point. Those who already know how to use Microsoft Excel may find it faster to pick up Power BI, as the interface has a lot in common with Excel. Others prefer Tableau because it offers more robust data analytics features for advanced needs, more customization options, and is easier to scale as an organization grows. While Tableau comes at a steeper price and slightly steeper lea

Data modeling is the process of connecting multiple sources of data in the Power BI tool. To do this, you define a relationship between sources of data, which describes how those separate sources are connected. Then, within Power BI, you can analyze, organize, compare, and manipulate the data from those sources in one place. Within Power BI’s modeling view, users can organize how they’d like to view data, splitting data models and subsets into different diagrams, display folders, and more. This makes it easy to organize data by subject matter or business category. By using data modeling to cre