Data scientists are smart people. If you get them the data, they can create a model that delivers value where there is value to be had. There is nothing more frustrating to a data scientist than being able to do the math but having neither the data to run it against nor the ability for it to be used.That first bit — acquiring data — can be a big “if” for many organizations. On several occasions, I’ve had companies that truly wanted to practice data science but were hindered because they couldn’t get the right data. Or if they had the right data for today, they didn’t have the proper data history required to create models and undertake machine learning. It’s here that business data lakes are often created to provide that foundation for information.
