Lana Klein, Co-Founder, 4i
Demand forecasting is one of the most challenging fields of predictive analytics. This is a reality that is industry agnostic – true across finance, health care, and consumer goods and retail. This will not come as a surprise to business decision makers and data scientists working hard to leverage that information. While each industry has its own challenges – retail demand may be far more sensitive to economic pressures, for example, while health care is adapting to different delivery models and regulatory requirements – there are common pitfalls. Fortunately, there are common strategies to optimize the benefits of
This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.