Business enterprise sales and operations planning through a big data and big memory computational architecture

A sales and operations planning (S&OP) system of a business enterprise comprising:

• one or more relational database management systems (RDBMS) to aggregate a S&OP raw data,
• wherein the S&OP raw data is stored in a columnar data table;
• a big data computation engine communicatively coupled to the one or more RDBMS;
• one or more processing nodes of the big data computation engine to perform a S&OP simulation using the S&OP raw data;
• a big memory cache, communicatively coupled to the big data computation engine, to cache a result of the S&OP simulation;
• and
• an edge cache server near a geographical point of origin of the S&OP raw data to edge cache the result of the S&OP simulation,
• wherein the S&OP raw data is a historical or forward-looking data input from at least one of an enterprise resource planning (ERP) program, a customer relationship management (CRM) program, a supplier relationship management (SRM) program, a material resource planning (MRP) program, a stock-keeping unit (SKU) database, and a user client device.

A non-transitory medium, readable through one or more processing nodes of a big data computation engine and including instructions embodied therein that are executable through the one or more processing nodes, comprising:

• instructions to aggregate a S&OP raw data by one or more relational database management systems (RDBMS) communicatively coupled to the big data computation engine,
• wherein the S&OP raw data is stored in a columnar data table;
• instructions to perform a S&OP simulation, by the one or more processing nodes of the big data computation engine, using the S&OP raw data;
• instructions to cache a result of the S&OP simulation in a big memory cache communicatively coupled to the big data computation engine;
• and
• instructions to edge cache the result of the S&OP simulation in an edge cache server near a geographical point of origin of the S&OP raw data,
• wherein the S&OP raw data is a historical or forward-looking data input from at least one of an enterprise resource planning (ERP) program, a customer relationship management (CRM) program, a supplier relationship management (SRM) program, a material resource planning (MRP) program, a stock-keeping unit (SKU) database, and a user client device.