blog-data-prep

5 Best Practices for Preparing Data for AI Forecasting

When developing AI models for forecasting, data is the single most important factor impacting the accuracy of the predictive model. Many of our users have valuable data at their fingertips, often in Excel, but may not have experience preparing data for AI modeling. In this article, we’ll share five tips and best practices for preparing your data for forecasting tasks like predicting new product sales or customer retention. Forecasting is the process of using historical and other data to predic ...

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Forecasting vs Regression

Both forecasting and regression can be used to predict quantities in a future transaction and can be applied to different scenarios. We will use sales forecasting as the example to discuss the difference between forecasting and regression. As a general rule, forecasting uses past sales amount to predict future sales amount, and regression uses the attributes of a transaction to predict the number of sales. In a regression prediction task, the attributes for future transactions must be knowable. ...