Predictive Analysis and Its Business Need | SAC Analytics Cloud Tutorial [Updated 2026] - igmGuru
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Predictive Analytics and Data Analysis sounds like an insanely difficult topic to cover without a Master’s degree and a handy dictionary to follow along with the technical jargon. This is the truth in most cases; however, SAP has completely done away with this notion though SAP Analytics Cloud (SAC) Predictive Scenarios. SAC Predictive Scenarios provides business analysts and other users with the tools to create more robust insights into data, with no need to sort through mountains of data and craft complex algorithms manually. SAC Predictive Scenarios allows users to create three different flavors of data analytic scenarios very quickly.
In SAC Predictive Scenarios, it parses through the data using a binary discrete variable and simultaneously considers other variables in the dataset. These are known as “Influencer Contributions,” which show how influencers affect the output of the classification. The analyst can also view individual statistics for each influencer in SAC, and the software calculates all these statistics immediately when you train a classification scenario. SAC additionally generates contribution charts which visually show how each class contributes to the total dataset.