USING SOURCE DATA TO PREDICT AND DETECT SOFTWARE DEPLOYMENT AND SHELFWARE

Detecting the presence of shelfware. A licensing data table and an exported business data table are received from a business data source, wherein a plurality of data fields associated with a plurality of business categories are included. A plurality of dimensions are created based on a common data a...

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Bibliographische Detailangaben
Hauptverfasser:	Stein Jarett, Becker Jennifer G
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Detecting the presence of shelfware. A licensing data table and an exported business data table are received from a business data source, wherein a plurality of data fields associated with a plurality of business categories are included. A plurality of dimensions are created based on a common data attribute among the plurality of data fields. The received licensing data table and the received exported business data table are structured by assigning each data field within the plurality of data fields to a dimension within the plurality of dimensions. A fact table for each of the plurality of business categories is populated for each of the plurality of business categories. The populated fact tables are merged based on a predetermined usefulness when detecting shelfware. A dimensional model is constructed. An interpretative report is built to display a plurality of customer-related information based on the constructed dimensional model.