Thursday, October 11, 2018

New Power BI Custom Visual: Forecast Using Multiple Models



Forecast using Multiple Models by MAQ Software allows users to predict future data values using four different forecasting methods: linear regression, ARIMA, exponential smoothing, and neural networks.

Forecast using multiple models
Let's say that you are an employee of the Australian Trade Commission. As an employee, you help Australian business owners compete in the global economy, and it is crucial that you be able to predict how Australian exports will perform in international markets. Using our Forecast using Multiple Models, you can enter data from the desired timeframe and forecast future performance. You can now advise Australian business owners with even greater confidence!

Key features:
  • Four different forecasting models 
  • Ability to manually adjust parameters of the learning model 
  • Wide range of date and time formats 
  • Ability to choose the algorithm, show or hide confidence intervals, determine the split point, and apply data transformations 
Download Forecast using Multiple Models free on Microsoft AppSource.