Big Data Application in Manufacturing Industry
Today data on customers or clients of companies is one of the key resources that adds to the valuation of an organization. Often data is not only generated by customers who are buying from organizations but increasingly because of feedback that they may share on various social media platforms about their experiences of buying. So, traditional approaches where data collection was mainly based on conducting surveys of customer experiences are increasingly becoming a thing of the past. On the one hand, people prefer to refrain from participating in surveys as these may be time-consuming; on the other the amount of time spent on social media platforms has been on the rise. Given such an environment, it is commonplace for organizations to collect data through touch points that customers use when ordering or choosing products and services. Therefore, data generation is not limited to responses to survey questions but more because of touch points and social media posts. In this...
- Davenport TH (2014) Big data @work: dispelling the myths, uncovering the opportunities. HBR PressGoogle Scholar
- EMC Education Services, ed. (2015) Data science & big data analytics. WileyGoogle Scholar
- Marr B (2016) Big data in practice. WileyGoogle Scholar
- McCreary D, Kelly A (2013) Making sense of NoSQL. ManningGoogle Scholar
- Sha XW, Carotti-Sha G (2016) Big data. AI & Society, 1–4Google Scholar