It turns out that the business value of ill-fitting data is extremely high. The process of taking the input data, discarding what doesn't fit, adding default or null values for missing stuff, and generally shoehorning it to the prescribed shape is important. The prescribed shape is usually one that is amenable to analysis for deeper meaning.