SCALABLE BUSINESS PROCESS INTELLIGENCE AND PREDICTIVE ANALYTICS FOR DISTRIBUTED ARCHITECTURES

SCALABLE BUSINESS PROCESS INTELLIGENCE AND PREDICTIVE ANALYTICS FOR DISTRIBUTED ARCHITECTURES

Systems, methods, and computer program products for scalable, efficient business intelligence platforms and analytical processes are disclosed. In general, the inventive techniques, systems, and products include receiving data relating to a business or a business process; processing the received dat...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: OPITZ, Scott, MACCIOLA, Anthony, ELKIN, Alex
Format: Patent
Sprache:eng ; fre ; ger
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:Systems, methods, and computer program products for scalable, efficient business intelligence platforms and analytical processes are disclosed. In general, the inventive techniques, systems, and products include receiving data relating to a business or a business process; processing the received data according to a metadata model, wherein the processing comprises generating metadata corresponding to each of a plurality of data portions; partitioning the received data into the plurality of data portions based at least in part on the metadata corresponding to the data portion, and distributing each of the plurality of data portions and the metadata corresponding to each respective data portion across a plurality of resources arranged in a distributed architecture. The metadata model comprises characteristics descriptive of the data, the characteristics include semantic characteristics; extract, transform, load (ETL) characteristics; and usage characteristics.