How can businesses utilize insights from the Iris Dataset to improve decision-making processes in product development?

Businesses can use the Iris Dataset to test how well a product’s features separate different user groups, just like the dataset separates flower species with measurements of sepal and petal size. By training a simple classifier on the data, a company can see which variables (e. g. , petal width) are most predictive, revealing which product attributes drive customer preference. The model’s accuracy tells whether the chosen attributes truly distinguish between high‑ and low‑value customers, guiding feature prioritization.