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In this blog, I reflect on how the field of Data Science/analytics can meet expectations and fulfill the anticipated value. Well, the field of “Decision Analysis,” or a more refined one proposed by Cassie Kozyrkov's “Decision Intelligence” [1], has some answers on how to “Create Value.”
If you’ve never encountered me before, whoops, sorry — this blog post is probably not the place to start getting to know one another. If you’re not here for the updates, may I recommend fleeing this page and heading to any other of my blog posts for your enjoyment? Here’s my blog post about how and why I took the leap: [link] ) ?
DecisionScience: Even when armed with the best data and powerful machine learning algorithms, humans can unknowingly introduce bias, make misjudgments, and introduce all kinds of nuances into the decision-making process. Decisionscience is a new area that companies are exploring to help humans make smarter decisions.
When the issue lies not in the lack of data but in how it’s used – or not used – in decision-making, how can data leaders spotlight this gap and guide the organization […] The post Is Your Decision-Making Process Holding You Back? appeared first on Aryng's Blog.
As decisionscience author and Cornell professor J. Subscribe to Alation's Blog. Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself.
Summary This blog post demystifies data science for business leaders. From building a data science team to harnessing cutting-edge tools, this cheat sheet equips you to unlock the hidden potential of your data and make informed decisions. But raw data itself isn’t enough.
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