Moving Beyond Predictive Analysis: Hubris to Humility Using Complexity Science | |
Companies are investing billions to make their data science operations robust and up to date with the latest technological advancements. But are they maximizing their data science investments to enhance decision-making? How often are decisions based on naive data assumptions? Do models adapt and reorient when underlying business assumptions change? Answering these questions requires some introspection.Unfortunately, data science operations today rely heavily on historical summarized data to predict future outcomes, assuming the future will mirror the past. Because of this perspective, companies not only work hard to identify past trends, but they often rely too heavily on them to help guide decisions for the future of their business. Click the Related Link below to read more about this article | |
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