The results thy found and produce, not only need to be reliable, but relevant to particular commercial goals they have been set. As it usually turns out, there are not enough professionals with the skills to research, analyze, and interpret details and information and turn it into useful business-relevant insight which is actually the end goal of any data-driven action.
It is recommendable to focus on building and improving internal talent. The secret is to have some sense of the possible balance between the external recruitment and the internal talent supply. In order to measure this, you need access to robust information. Ensure you are completely aware of the skills that appear with your team and also make sure to keep records so you can use them in the future.
Another important thing to keep in mind is that data science capabilities and skills don’t need to come from outside or from a new talent alone. There are many businesses who are investing in internal talents as well. They take care of their current employees by training them and motivating them to experiment with cloud-based tools.
So, if it not possible to hire a professional data expert or scientist you can always use your current employees. The important thing is to have the right business organization, infrastructure, and supervisory skills in place and you can move your business to the next level. You also need to make sure you have a good business glossary of terms to be informed and keep growing.