The document discusses creating new business models using big data and analytics. It provides an agenda that covers what is driving big data, definitions of big data and analytics, examples of what can be done with big data and analytics, and example architectures. Specifically, it describes how rising data volumes, falling costs of tools, and growing data science are driving big data. It defines big data using the 3Vs of volume, variety and velocity. It outlines common analytics objectives and provides examples of new revenue models, user experiences and cost optimization using big data and analytics. Finally, it shares several example architecture diagrams combining tools like Hadoop, MongoDB, Redis and event processing with data warehouses.
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