BUSINESS ENTERPRISE SALES AND OPERATIONS PLANNING THROUGH A BIG DATA AND BIG MEMORY COMPUTATIONAL ARCHITECTURE

Fecha de publicación: 27/11/2014
Fuente: Wipo "BigData"
Disclosed are methods, devices, and systems to provide sales and operations planning (S&OP) for a business enterprise. In one embodiment, a machine-implemented method includes aggregating a S&OP raw data by one or more relational database management systems (RDBMS) communicatively coupled to a big data computation engine; performing a S&OP simulation, by one or more processing nodes of the big data computation engine, using the S&OP raw data; caching a result of the S&OP simulation in a big memory cache communicatively coupled to the big data computation engine; and edge caching the result of the S&OP simulation in an edge cache server near a geographical point of origin of the S&OP raw data. The S&OP raw data may be a historical or forward-looking data input from an ERP program, a CRM program, an SRM program, an MRP program, an SKU database, or a user client device.