Why is predictive analytics important?
Predictive analytics has rocketed at the top of the boardroom agenda, with companies envisioning value across functional domains and enterprise-wide processes. However, these companies still find it a challenge to make predictive analytics work for them due to their legacy & siloed IT infrastructure, capability gap to unlock the power of data to solve critical business problems, and the complexities involved in moving to a new environment.
With predictive analytics, you can go beyond learning what happened and why to discovering insights about the future. Learn how predictive analytics shapes the world we live in.
Predictive analytics makes looking into the future more accurate and reliable than previous tools. As such it can help adopters find ways to save and earn money. Retailers often use predictive models to forecast inventory requirements, manage shipping schedules and configure store layouts to maximize sales. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends
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