Industry 4.0 undertakes the automation and data exchange in different manufacturing technologies. industry 4.0 consists of cognitive computing, cloud computing, internet of things, and cyber-physical systems which are generally known as the fourth industrial revolution (Stverkova & Pohludka, 2018). Currently, adaptable organizations are in a position to exploit numerous opportunities and deliver optimum performance (Rajnoha & Lesníková, 2016). Organizations have increased their productivity and profit by applying steam engine, power, and the transition from simple to computerized innovation.
Big Data
Big data is the sum of polluted and quality data or information (Iqbal & Nawaz, 2019; Iqbal, Yang, Nawaz, & Iqbal, 2019) where polluted information rises exponentially and quality information is increasing linearly. Big data is an umbrella term, refers to any technique that process a large volume of data or information-capture, transfer, storage, analysis curation, search, privacy, and visualization, includes both structured and unstructured data (Xu & Duan, 2019) (Xu and Duan, 2018). According to Hashem et al. (2015), big data refers to a rise in the volume of data that is hard to store and process. The big data requires substantial procedures to identify and translate the data into new insights. Big data constitutes three Vs; volume, velocity, and variety (Zhu, Yu, Wang, Ning, & Tang, 2018). Iqbal and Nawaz (2019) have claimed that big data is a new form of capital in today's market. In the presence of polluted information, practitioners are still unsuccessful to exploit the big data in terms of its advantages (Iqbal et al., 2019).