![]() Share this story with the other users in your organization.Įxample : Analyzing C ontractor Data to meet Budget.Save the smart discovery as a part of the new or existing story.The chart displays the contributions of each of the key influencers based on the chosen values.Īfter you have finished analyzing the results from the Smart Discovery, you can: Each time a value is changed, a number flashes to show the percentage change from previous set of values. Choose the value and use either the displayed slider or radio buttons in the page to specify a new value. User can modify a value and simulate its impact. To the right of the page, a listing of the key influencers and their corresponding values is displayed. ![]() The page uses the key influencers in an interactive what-if simulation. It allows us to test hypothetical scenarios. Simulation Page – When the Smart Discovery target is a measure, a simulation page is generated.The bar chart compares the expected values and actual values for selected record. The scatter-plot displays these outliers to compare expected values versus actual values. The table shows records where the actual amount differs greatly from what the predictive model (expected values) would expect. This page is displayed only if there is unexpected values. Unexpected Values Page – The Unexpected Values page shows the information about outliers.This page lists (ranked from highest to lowest) up toalmosttendimensions and measures that significantly impact the target of the discovery. Key Influencer page shows variables that are inter related to, that have the most influence, on the target. Regression techniques identify relationships between data points in order to predict future results. Classification techniques are used to identify dimensions that segregate results into different groups of results. ![]()
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