PREDICTIVE BUSINESS INTELLIGENCE: CONSUMER GOODS SALES FORECASTING USING ARTIFICIAL NEURAL NETWORK

Business competition between manufacturing businesses in Indonesia is getting tighter along with the development of businesses from competing companies that have similar businesses. One strategy that can be applied by this company is Business Intelligence, that is by utilizing the data that is already available to help in better decision making, such as decisions based on facts stored in the data, precisely namely the lack of errors in the presentation of reports, and fast that is, cut down on the time for making the usual report. The method proposed by the author is a method that can be used to predict sales value based on existing sales data (sales forecasting). By implementing Business Intelligence and data mining, companies can learn from the data that has been collected, can evaluate the performance of the sales department, can understand market trends from the products sold, and can predict future sales levels. In addition, Business Intelligence can display detailed transaction data recapitulation quickl