We are developing a self-service SaaS platform that allows enterprise customers to automate the process of mapping all their customer touchpoints and journeys, cluster their customer personas and predict the future behavior of their customers. Using novel and patent-pending methods in big data mining and analytics, process journey mapping and machine learning, our platform provides a unique approach to analyzing internal and 3rd party enterprise data to offer valuable business insights and prediction tools for churn and Next Best Actions (NBAs). ODAIA simplifies the data ingest and data normalization process from multiple disparate data sources and provides an intuitive dashboard for the visualization of insights and predictions. ODAIA was founded out of the University of Toronto by Professor Periklis Andritsos (PhD), Adjunct Professor Helen Kontozopoulos together with Gaël Bernard, PhD student at University of Lausanne Switzerland, and Philip Poulidis, serial entrepreneur and Silicon Valley technology executive. The work of Dr. Periklis and Gaël has been cited in many research papers, including multiple papers published by the IEEE.
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