The revolution of data science has always been predicated on the power of data as a strategic decision-maker. Interestingly enough, no matter how long I stare at my SQL table, it can’t hear it telling me what to do.
This attacks the fundamental misconception that data itself is some kind of Oracle able to tell us what we need to do and how. To any ordinary data scientist, statistician, or engineer, this may seem intuitive. Still, many of those who look to consume information predicated on data make many false assumptions as to its value. While ordinarily harmless, these assumptions produce angst when data is considered an authoritative source in of itself.
Author: Shivam Kollur