Optimizing things in the USSR (2016)

A data scientist reflects on the book 'Red Plenty' to draw parallels between Soviet economic planning and modern data science operations. The author highlights the historical struggle of resource allocation and the common data-cleaning challenges faced by analysts.
Why it matters
It provides a unique historical perspective on the evolution of data-driven decision-making and the persistent challenges of operational efficiency.
I am a data scientist at Propel. This blog is mostly about statistics, technology, and science.
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