See a real-life use case where a hospital used patient forecasting (and Dataiku) to anticipate staffing needs.learn more
Forecasting and planning are some of the very oldest use cases of modern statistics – businesses as far back as the 1950s used computer-based modeling to anticipate risks and make decisions.
But traditional forecasting and planning methods can be wrought with manual processes and, therefore, unintended bias. For example, when it comes to forecasting, over-forecasting is a safer choice for a business because it ensures sufficient supply. In order to be more exact, these manual processes and decisions need to be removed entirely to make way for truly data-driven decisions.