Given the importance of information processing capabilities in improving business performance, organisations are seeking solutions for leveraging the use of big data and analytics. An emerging application is to inform organisations of potential fraudulent behaviour, which results in reducing online fraud and its associated costs. This paper introduces a case study in which social fingerprinting is used as a big data profile-based fraud detection technique for e-commerce transactions. Through an analysis of semi-structured interviews, this research in progress identifies three information processing capabilities based on social fingerprinting that a business must develop to eliminate fraud. Further interviews and analysis are proposed in order to have a better understanding of how social fingerprinting can be used in e-commerce. By uncovering interrelationships of social fingerprinting as online fraud detection solution, this study will provide significant contribution to information processing and analytic theory and practice.