More On DMN Data Validation
Blog: Home on Method And Style
This month we return to a topic I've written about twice before, data validation in DMN models. This post, in which I will describe a third method, is hopefully the last word. Beginning decision modelers generally assume that the input data supplied at execution time is complete and valid. But that is not always the case, and when input data is missing or invalid the invoked decision service returns either an error or an incorrect result.