What is auto-ARIMA/SARIMA in SAP SCM-IBP-DM - Demand?

SAP Term: auto-ARIMA/SARIMA

• Component: SCM-IBP-DM

• Component Name: Demand

• Description: An automated time-series forecasting algorithm which combines autoregression and moving average to provide reliable forecasts after calculating the optimal values for certain parameters automatically and differencing the historical data to make it stationary if needed. The seasonal algorithm additionally considers seasonality aspects of the time series. The acronym stands for seasonal autoregressive integrated moving average.

Smart SAP Assistant

• Key Concepts: 
  Auto-ARIMA/SARIMA is an automated forecasting technique used in SAP's SCM-IBP-DM Demand Forecasting component. It stands for Autoregressive Integrated Moving Average/Seasonal Autoregressive Integrated Moving Average. It is a statistical method that uses past data to predict future values. It is a powerful tool for forecasting demand and can be used to identify trends and patterns in data. 
  
  How to use it: 
  Auto-ARIMA/SARIMA can be used to forecast demand in SAP's SCM-IBP-DM Demand Forecasting component. To use it, you will need to input historical data into the system. The system will then analyze the data and generate a forecast based on the patterns and trends it finds. You can then use this forecast to make decisions about future demand. 
  
  Tips & Tricks: 
  When using Auto-ARIMA/SARIMA, it is important to ensure that the data you input is accurate and up-to-date. This will help the system generate more accurate forecasts. Additionally, it is important to consider other factors such as seasonality when using this tool, as this can have an impact on the accuracy of the forecast. 
  
  Related Information: 
  For more information on Auto-ARIMA/SARIMA and how to use it in SAP's SCM-IBP-DM Demand Forecasting component, please refer to the official SAP documentation. Additionally, there are many online resources available that provide further information on this topic.