attribute selection is a key task in data science. So is attribute design. Designing a derived attribute that has a strong correlation with an attribute we are interested in is often where the real value of data science is found. Once you know the correct attributes to use to represent the data, you are able to build accurate models relatively quickly. Uncovering and designing the right attributes is the difficult part.
