>They expect the solution to come without significant investment in data collection. One, even over-paid, data scientist is a far smaller budget than having you

>They expect the solution to come without significant investment in data collection. One, even over-paid, data scientist is a far smaller budget than having your dozens of teams make an effort in fixing data collection, and setting up a reporting team. This x100. I've seen so many places where the budget for "data" is zero. This includes funds for paying for new data, budget for additional people/software to support data collection/cleaning, money to provide to existing data vendors/suppliers to provide better data, support from legal to re-negotiate contracts with existing data vendors who historically have only provided aggregated summaries, etc. I've seen situations where a Data Scientist discovered that a data pipeline was broken reports using that data had errors for years. Rather than trying to fix the pipeline, the Data Scientist got in trouble.