The transportation company is keen to explore the use of Big Data to improve their understanding of passengers but was unsure how to link various sources of data together especially external unstructured data sources like social media. A previous experiment using Big Data to provide deeper customer information beyond just demographics was questioned by the management due to the perceived lack of “business value”.
KewMann helped to develop a solution with clear business goals to achieve. The solution provides a Big Data Discovery foundation which all types of data could be mashup in order to develop hypotheses and insights. These insights were further enhanced using processed data from social media and digitalized offline feedback forms to allow a deeper understanding on passengers. Machine Learning like collaborative filtering could then be used to provide targeted marketing approaches which achieves business goals.
Solution: Data Acquisition and Robotic Process Automation, Semantic & Sentiment Analytics, Big Data Discovery