What are the risks of importing inconsistent data?

Importing inconsistent data poses several risks, including inaccurate attribution models, wasted advertising budgets, and ineffective targeting. When data lacks consistency, algorithms may misinterpret it, leading to poor marketing decisions. Inconsistent data can also undermine trust in data analysis, as teams may doubt the validity of insights derived from such data. Ultimately, this can result in misallocated resources and reduced marketing effectiveness.