NNBI: A Neural Network Based Business Intelligence Dashboard For A Clothing Store

Abstract

Business Intelligence (BI) plays an important role in decision support systems by analyzing business data. Demand forecasting is a primary part of a sales decision system. In this research work, a Neural Network based Business Intelligence (NNBI) dashboard is proposed for a sales decision system. Data is collected from a leading clothing brand, then NNBI executes data and uses Recurrent Neural Network (RNN) to predict daily, monthly and weekly sales. The accuracy of the prediction model (0.95) validates the performance of NNBI. Tableau, a well-known BI tool is used to design NNBI dashboard. A combination of graphs, charts and text is used to interactively present the sales information. Results of NNBI show that a BI dashboard with the analysis and prediction power of NN is a good fit for a business organization.