Introduction to data analytics
How can businesses effectively balance the use of confirmatory analytics that rely on hypothesis testing and prior assumptions with the need for agility and adaptability in an ever-changing market landscape? What strategies or best practices would you recommend for integrating confirmatory analytics into decision-making processes while still being responsive to emerging trends and unexpected shifts?
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