I want to dive deeper and show you the ways of implementing some sensitivity analysis examples in your Power BI model. You may watch the full video of this tutorial at the bottom of this blog. Sensitivity analysis is a very important financial model. It helps businesses in predicting the outcome of a certain scenario,
What I want to cover with this tutorial are some great examples of profit prediction in the future using Power BI. To achieve this in Power BI you need a number of different modelling and formula techniques, but you must be able to use them correctly and simultaneously. You may watch the full video of
Power BI is an incredible tool to run scenario analysis and what-if analysis examples. I’ve actually never seen or come across an analytical tool that is as effective and intuitive to implement this type of complex analytics. You may watch the full video of this tutorial at the bottom of this blog. The key is
We’re getting specific today and really showcasing the analytical power of Power BI. Sensitivity analysis, or even running some ‘what ifs’ around this, allows you to almost predict what may happen in the future with your results. In this example, I want to see what will happen to my profitability if I am able to
