Register and manage datasets to be used by the SAP Predictive service. Datasets are SAP HANA database tables or views.
Segment a population into clusters by grouping similar data points together. Send segmentation results into the desired SAP HANA table or view.
Get the set of key influencers for a specific target of interest ordered by decreasing contribution.
Identify the odd data points of the dataset whose labels are different from profiles.
Simulate a planned action and get the significant deviations compared to what is expected.
Predict the next values of a time series based on detected patterns from a reference date.
Get personalized recommendations for individuals based on their purchase history.
Export the scoring equation of a model outside the SAP Predictive service and integrate into an application to make predictions.
Create an Automated Analytics model and train it on a dataset. Apply the model on a dataset to get predictions.
|Australia (Sydney)||SAP (Neo)|
|Brazil (São Paulo)||SAP (Neo)|
|Canada (Toronto)||SAP (Neo)|
|Europe (Amsterdam)||SAP (Neo)|
|Europe (Rot)||SAP (Neo)|
|Japan (Tokyo)||SAP (Neo)|
|Russia (Moscow)||SAP (Neo)|
|US East (Ashburn)||SAP (Neo)|
|US East (Sterling)||SAP (Neo)|
|US West (Chandler)||SAP (Neo)|
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