Overview Page – This page provides visualizations to summarize the results for the target dimension or measure.This model will be used to generate the 4 pages of the story – Overview Page, Key Influencer Page, Unexpected Values Page and Simulation Page. Smart Discovery will then select the best model based on accuracy, robustness and simplicity. When the user selects Run, Smart Discovery will begin to build and test multiple test models using automated machine learning technologies. If a dimension is selected, then Smart Discovery focuses on the members of classification (target) group selected by the user. If a measure is selected, a regression model is built and if a dimension is selected, a classification model is built. The user selects a measure or a dimension. Smart Discovery in SAP Analytics Cloud helpsbusiness users to interact with insights, in form of intuitive charts and natural languageprocessing (NLP), to make fasterand betterdecisions and share the newfound valuable insights with their organization. When you make a few clicks, you can not only get all the key influencers for your target but you can also see the impact of other variables and view the data anomalies and run what-if scenarios, analyse the patterns in data and use historical data to predict future outcomes.

SAP Analytics Cloud’s smart data discovery feature, helps in saving time by running automated machine learning algorithms in the back end to find out correlations between your dataset elements against the target metric, for example KPIs like revenue, time to fill days, sales, etc.

Smart Discovery is a very powerful feature of SAP Analytics Cloud that uses machine learning to analyse and explore your data and uncover valuable insights.

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