SAC smart features
SAC offers a set of smart features such as Smart Insights and Smart Predict, mainly for citizen data scientists and business users. We introduced the details of these capabilities in the last chapter, so here, we will briefly discuss what was not covered previously – the lifecycle and differences of predictive models, from data preparation to the operation of the models.
SAC supports two types of models – based on datasets or planning-enabled models. Datasets whether acquired or through live connection can be used as data sources to create any supported predictive scenarios. Planning-enabled models can be used for time series forecasting models.
SAC provides a simple way to create predictive models – underneath SAC, the predictive engine uses similar capabilities to the APL in SAP HANA. SAC doesn’t offer the ability to parameterize the underlying algorithms on purpose to keep it simple.
To evaluate the quality of predictive models...
