The document argues that "Big Data is Dead" and provides evidence for this claim. It outlines three signs that Big Data is failing: (1) most Big Data projects fail due to issues with data quality, lack of data, and lack of talent; (2) the focus should be on use cases and business impact rather than technology; (3) iterative testing and a customer-centric approach are more important than just collecting and storing large amounts of data. The key is to start small, test early, and iterate fast based on customer needs rather than what data is available. Impact should come before collecting large datasets.