Stop letting the data decide
Stop letting the data decide
9/8/2018
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summary
In this blog post, the author challenges the prevailing notion that data should be the sole basis for decision-making. The post argues that relying solely on data can lead to blind spots and overlook important factors that cannot be quantified. The author highlights the importance of intuition, human judgment, and subjective experiences in making informed decisions. The post encourages readers to balance data-driven insights with personal insights and encourages them to trust their instincts and values. It concludes by emphasizing the need for a holistic approach that integrates both data and human judgment to achieve better decision-making.
tags
data-driven decision making ꞏ decision making ꞏ data analysis ꞏ data interpretation ꞏ decision bias ꞏ intuition ꞏ human judgment ꞏ data collection ꞏ data reliability ꞏ data accuracy ꞏ data visualization ꞏ data-driven culture ꞏ data-driven strategies ꞏ data-driven organizations ꞏ data-driven marketing ꞏ data-driven management ꞏ data-driven innovation ꞏ data-driven insights ꞏ data-driven leadership ꞏ data-driven decision support ꞏ data-driven decision frameworks ꞏ data-driven decision process ꞏ data-driven decision models ꞏ data-driven business ꞏ data-driven decision-making tools ꞏ data-driven decision-making methods ꞏ data-driven approach ꞏ data-driven thinking ꞏ data-driven mindset ꞏ data-driven performance ꞏ data-driven success ꞏ data-driven decision-making skills ꞏ data-driven decision-making culture ꞏ data-driven decision-making mindset ꞏ data-driven decision-making techniques ꞏ data-driven entrepreneurship ꞏ data-driven analytics ꞏ evidence-based decision making ꞏ big data ꞏ data science ꞏ decision making skills ꞏ critical thinking ꞏ statistical analysis ꞏ quantitative analysis ꞏ qualitative analysis ꞏ data-driven decision-making process ꞏ data-driven decision-making approach ꞏ data-driven decision-making framework ꞏ data-driven decision-making strategies