Smart Discovery

A Smart Discovery is the result generated by running a machine learning algorithm to uncover new or unknown relationships between columns within a dataset.

In SAP Analytics Cloud, you can choose to run a discovery against a measure or dimension within a model to determine the influencers on the focus of the discovery, how they relate to one another, and key members or value ranges. Smart Discovery also gives an overview of your data by automatically building charts to begin discovering more about your data. The guided analysis will also alert you if no significant or insightful relationships are present in your data.

Smart Discoveries are driven by users working on stories. You can exclude particular dimensions or measures from the analysis, focus on particular dimension members, and display relationships from a list of influencers. The results can be saved as story pages that you can share within your organization.

To narrow down the scope of the analysis, or to optimize running discoveries on large datasets, you can create filters to exclude specific records from dimensions in your model.

Note

Currently, you cannot run a discovery analysis on more than one million cells. By filtering the data first, you can reduce the number of cells included in your dataset. The number of cells is calculated by multiplying the number of measures by the number of records.

After running a discovery, you can simulate numeric targets, using the results of the key influencer analysis. You can also view data records that are highlighted by the predictive model as being unexpected.