In data-driven marketing, we talk a lot about clustering. Using specific parameters and algorithms, data scientists work to group customers into unique clusters that share certain attributes. Once these models are created, they can be tested, refined, and applied to marketing and product development.

But just like real life, real-life data has real problems. Read More