It wasn't 'just' hype, but the real problem was that very few companies had any data that you could actually extract much value from. Garbage in Garbage out is

It wasn't 'just' hype, but the real problem was that very few companies had any data that you could actually extract much value from. Garbage in Garbage out is as true as ever. That being said I've observed that the data science techniques and tools that have developed over the past few years have been absorbed and adopted by a lot of people that aren't "data scientist". So while companies are hiring a lot less "data scientists", a lot of "data science" is now done by domain experts and analysts as part of their work.