Is Your Model Going to Be Used in the Real World?

Data quality and data quantity are two incredibly important areas, statoned as a little teaser for additional reasons why we see a i projects fail. Can you get the technology that you need? If not, probably shouldn't move forward. Also, can you execute the model as required in a timely manner? You need to set the expectations. Every project is different. And last but not least, we need to talk about implementation.