Enterprise Analytics - Forecasting
- Henry Yiu
- Jasper Jiang
Forecasting uses Artificial Intelligence to predict future data based on the current/past trend of the selected data set. This will allow users to compare with targets and future trending direction to make data driven informed decisions.
Forecasting is available in 3 widget types:
Line Chart
Area Chart
Column Chart
Designers have the ability to view forecasting charts and Viewers can view the forecasted results and interact with the widget.
Forecasting is only available in a Time Series selection in the horizontal (X-Axis) of the chart since this is only applicable to a time series data set. In addition, there must be at least 30 consecutive data points in the chart for the algorithm to learn a pattern to make a forecast.
Designers have the ability to set confidence levels which will produce the error bands based on the set confidence level. The Forecasted values and the error bands are colored in a lighter shade.
