Quit Jamming Me With More Data
Professional data scientists understand that more data does NOT make better decision making. A diversity of the right smart data sets applying the appropriate conceptual framework, scenario planning and probability theory is optimal decision strategy.
Training machine learning algorithms does require huge amounts of data yet risks bad, biased, incomplete, and low quality data. While learning algorithms can add massive value in specific contexts, they can also be dangerous and create significant downside risks considering severe limitations with real-world scenarios.
Seasoned data scientists know that some data sets and interpretations are more important than others. The ability to select and correctly interpret important data is critical to high performance.
Beware of overwhelming clients/employers with more and more data.