Generating Value from Big Data: A Multiple Case Study in Financial Industry

• Main Authors: Tsai, Yu-Chen, 蔡佑晟
• Other Authors: Shang, Shari S. C.
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/4w3njg

碩士 === 國立政治大學 === 資訊管理學系 === 106 === With rapid advances in social and analytics technology, Big Data has become a popular subject in many industries. Numerous well-known multinational companies, such as Google, Walmart, and Amazon, reported deriving enormous value from Big Data applications. However, except for these emblematic examples, there is no promise that large investments in Big Data can result in material benefits. Business decision-makers remain doubtful as to returns from Big Data technologies. Performing a systematic literature review of data-driven decision-making cases and Big Data applications, this study identified several possible benefits that may be generated from Big Data, and identified several Big Data-related key factors that may affect value creation. Then, this study conducted in-depth interviews with senior IT managers from selected financial companies. Finally, by a cross-sectional analysis of financial industry, this study intends to provide insights into Big Data implementation.