Trends Report

Data Scientists And Designers Miss The Mark With Data-Fueled Products And Pattern-Finding Algorithms For Different Reasons

November 26th, 2019

Summary

Data scientists commit three grave errors that fundamentally ignore the people their algorithms impact: ignoring key qualitative data, overemphasizing business understanding, and trivializing the value of good design. Designers’ lack of algorithm understanding, unfamiliarity incorporating machine-learning algorithms into design, and failure to consult with data scientists’ valuable expertise contribute to their company’s poorly implemented data-fueled products.

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