Journal Press India^®

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The six(6) “S” concepts, a blend of data science and market penetration, include storing knowledge, segregating datamarts, synthesis penetration, synchronizing business processes, and scaling forecast. This study employs marketing data and company profiles in the input layer which will function to internal layers and be embedded in the neural network grid learning models. A strategy for identifying business intelligence is presented that will involve to improve characteristics using markets’ data mining. The suggested hidden 6S layers statistically define the business analysis structure, which would establish the business percentage for the stakeholders. In order to validate the model based on size of the business and economy, the system’s marketing decisions will be supported by the marketing feature. This point of view is predicated on the idea that whatever marketing decision makers do, they will review it and attempt to confirm its implementation in the future in order to validate the model. 

Keywords

Marketing; Economy Forecast; Kotler 4Ps; Equilibrium; Neural Network; Data Mining

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