Probabilistic or deterministic: which is better for customer data?




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There’s no denying that customer data is important for businesses. After all, understanding who your customers are and what they want is essential for being able to market to them effectively. But what’s the best way to go about understanding this data?

There are two main approaches: deterministic and probabilistic. Deterministic data is based on information that is known for certain, such as a customer’s name, address, and date of birth. Probabilistic data, on the other hand, is based on information that is only probable, such as a customer’s gender or location.

So, which is better?

There are pros and cons to both approaches. Deterministic data is more accurate, but it can be harder to obtain. Probabilistic data is less accurate, but it’s easier to obtain.

Ultimately, it depends on your business’s needs. If accuracy is paramount, then deterministic data is the way to go. But if you need to gather data quickly and efficiently, then probabilistic data is the way to go.

Customer Data



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