BIG DATA & ANALYTICS
The drive for meaning
Our efforts with big data analytics go beyond the conventional gathering and analysis of data for meaningful insights. We are working to integrate big data analytics into different business processes for augmented data management, decision intelligence and decision modeling.
Areas of Focus
End-to-end 360-degree customer profiling solutions that seamlessly combine in-journey customer data at the most granular level possible. Integrated analytics and machine learning are applied to predict customer behavior, delivering real-time customer insights.
Comprehensive, intelligent solutions that can classify and label unstructured or unsorted text in predefined categories to simplify data management.
Recommendation solutions that leverage big data and data science to better understand customer needs and, accordingly, display suggestions that augment and enhance the customer experience.
Data Science vs. Big Data vs. Data Analytics - what’s the difference?
Understanding the nuances of each area of data specialization is key in order to best utilize and leverage them to their full potential. Discover the differences between data science, big data and data analytics and the functions they perform.
Data science: who benefits from it and why?
Learn how data science can help you make informed business decisions to amplify your growth potential and better personalize the customer experience journey.