Predicting with Power BI
What would you be able to do if you could predict the future actions of your customers?
Predictive analytics is a form of advanced data analytics that uses both new and historical data to forecast activity, behavior and trends. It involves applying statistical analysis techniques, analytical queries and automated machine learning algorithms to data sets to create predictive models that rate the likelihood of a particular event happening.
Power BI combined with Azure Machine Learning has been helping organizations anticipate outcomes and improve decision-making.
In this demo, SWC’s Data Analytics specialists Samantha Boie and Ryan Erdmann will showcase how business risk can be predicted using Microsoft 365's Power BI solution plus Azure Machine Learning with R scripting. We'll look at a use case of a financial institution predicting the likelihood of customers defaulting on loans as an example.