Disparate data is the root of all evil when it comes to attribution. Mapping data from various sources into a single source of the truth is necessary to establish a homogeneous data set for modeling. Don’t start modeling until your data is homogeneous.
Disparate data is the root of all evil when it comes to attribution. Mapping data from various sources into a single source of the truth is necessary to establish a homogeneous data set for modeling. Don’t start modeling until your data is homogeneous.
