| Although privacy is not a new term in big data analytics, the phenomena underlying why it continues to crop up in literature as a little investigated and undervalued concern remains unexplored. This endeavor is particularly relevant, especially given that cloud technology continues to foster the enormous amounts of collected data by the Internet of Things (IoT) gadgets, and by users of e-commerce and social media sites. The exploration and focus on privacy expectations by information systems professionals (ISPs) may begin to address privacy preservation at the most basic, first-stages of big data collection, as sensitive information initially becomes available to IT personnel. ISPs must recognize personal and private information in the collection process to ensure preservation before completion of data analysis (Lin, 2016). Today's interconnected technologies and businesses make it necessary to address privacy at the most fundamental stage, collection, to assure proper protocols remain in place for data mining purposes. This study explores the lived experiences of a small group of ISPs to understand better what privacy means to them at the time data is being gathered to address the disconnect between analysts and private information and begin to set a foundation for future discussions on the perceived rights to privacy, privacy-preservation, and initiate an open dialogue for further research. |
