Often analytics fall into one of two camps: either you’ve got powerful functionality that can serve the needs of the data scientists inside your business, or you can have flexible, user-friendly analytics that are suitable for use by customers as part of a data product.
The “analyst” oriented tools are extremely powerful, but they require expert knowledge of databases, data modeling, and languages like SQL, R, and Python. The “customer” oriented platforms look great and are easy to use, but often lack the capabilities to perform the sophisticated analysis required by analysts (or many power users).
The use cases just don’t overlap—you’d never use one product for both of those scenarios. Or would you?