Fenchel duality is a framework in convex analysis that provides a way to derive dual optimization problems from primal ones, often leading to simpler or more insightful solutions. It is particularly useful in scenarios where the primal problem is difficult to solve directly, allowing for the exploitation of convexity properties and conjugate functions to gain computational advantages.