Descriptive analytics is the process of examining data and interpreting patterns. It uses past data points to create a comprehensive picture of what has been happening in your business, allowing you to identify trends and measure performance. On the other hand, predictive analytics goes a step further by using machine learning algorithms to look at both current and historical data points to make predictions about future outcomes. By leveraging this data, organizations can make informed decisions that will help them maximize their profits, meet customer expectations, and stay ahead of their competition. Both descriptive and predictive analytics are essential tools in the modern business landscape – but which one you use depends on what type of questions you need answered.