M Science Launches Machine Learning-Based Transaction Data Platform: SWIPE
Summary
M Science’s SWIPE uses machine learning to analyze transaction data that is collected from credit and debit card purchases, to provide institutional investors with near real-time analysis of public and private company performance linked to consumer spending.“M Science’s SWIPE enables institutional investors to go many levels deep into the data and to perform ad hoc analysis on the fly,” said Michael Marrale, CEO of M Science.“This solution leverages M Science’s deep understanding of transaction data, our predictive modeling capabilities, and our world class technology and infrastructure, to overlay sophisticated machine learning techniques to create a new industry standard.M Science’s SWIPE provides near-real time insight into key company performance indicators well ahead of a quarterly report and offers clients both a current snapshot and future forecast based on factors including historical data and changes in customer spending patterns.Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions.