At Bountiful, we are solving some challenging problems. We are making individual farms more efficient, profitable, and sustainable while helping optimize the global food supply chain. That means healthier people and a healthier planet. These challenges are met with state-of-the-art technology and advanced machine learning approaches. Our hope is that we can do the heavy lifting while we bring you along with us for this journey. This week we are opening up about data science at Bountiful. Below is a guide and reference to terms we constantly use at Bountiful in our analytics and products. We hope that this post and our following series of blog posts will provide you with the foundation to learn more about our products in an easy and fun way.
Correlation
Correlation is a term in statistics used to describe how closely related two data sets are.
Causation
Causation means there is a cause-and-effect relationship between two variables.
Causal Drivers
Causal yield drivers are variables that are responsible for moving the yield forecast up or down. Some predictor variables (a.k.a., drivers) are related to changes in the yield, but they might not be what is causing the change in the yield. This is because correlation and causation…
