Multivariate Time Series Forecasting
Feature Description
Users can now leverage multiple input variables in time series forecasting, resulting in improved forecast accuracy and more reliable predictions.
End User Business Benefits
Enhanced Accuracy
Multivariate Time Series Forecasting leverages multiple variables to significantly improve the accuracy of forecasts, enabling more reliable predictions and informed decision-making.
Deeper Insights
By analysing interactions among various variables, it offers comprehensive insights into underlying dynamics, empowering users to uncover valuable patterns and trends.
Real-world Relevance
With its ability to address scenarios where multiple factors influence forecasts, this feature proves valuable across diverse industries, catering to a wide range of forecasting needs.
Efficiency
By automating the integration of multiple variables, it streamlines the forecasting process, reducing manual effort and complexity. Users can now achieve accurate forecasts without the need for separate univariate analyses, saving time and effort.
