In this part of the series I would like to explain what does “data science as a service” mean. What are specific examples of data science solutions? What should you know when you decide you want to give it a try? What will typically be the requirements on you and your internal team?
The post is especially aimed at applications of Data Science in e-shop environment.
The benefits of tailor-made solutions
The great thing about purchasing “data science as a service” is that the service can and should be tailor-made, designed to suit the exact needs of your business. This is important for two main reasons. Firstly, it gives you an edge over competition (who does not have it) and secondly, because you only pay for features that you will use.