Big data analysis for product design

Abstract

Abstract Currently all industries have the same challenges, namely the challenges facing disruptive technology, including the telecommunications industry. Disruptive Technology is a form of industrial revolution 4.0 as a result of robotic technology, machine learning and artificial intelligence. The company’s innovation capacity will be one of the best indicators for the company. So that to face disruptive technology in the industrial era 4.0, companies must design a technology with sustainable market needs in order to survive in the industrial market. Accordingly, a literature review is conducted to explore values of big data in the perspective of product designers. Product features and sentiment polarities would be the first identification of consumer opinion data. Some methods is discussed in this study such Kalman filter which used to forecast the trends of customer requirements (CR) and Bayesian method to compare products. This study aimed to help designers their advantages and understanding every possibilities of changes customer requirements (CR). And by exploring valuable information from big data the designers may decide kind of product based on customer needs and market driven product design.