Often when people begin at a company they have technical knowledge that allows for tasks to be undertaken. This is the case with almost every role, sales people know the absolute basics of how to call people, marketing people know how to write an email and Data Scientists know how to perform basic tasks.
These skills alone are never going to be enough to make a huge impact on your performance or the overall company success.
Even when talking about some of the most high tech industries in the world, there is a need for those with experience to pass on their knowledge to those without it. This normally means short form statements and quick tutorials. Most of the time this short form knowledge transfer is not from laziness, but simply because by virtue of being more experienced, they are likely to be more senior and therefore have a heavier workload.
However, it is important that a deep learning process within data teams is implemented as it benefits not only the individual who is gaining knowledge, but the company as a whole.
One of the keys to becoming a top data scientist is the ability to apply findings and analysis to the wider business. This is something that nobody is going to have when they start a new role at a new company. Each company has different ways of working, simply by virtue of having different individuals working in different ways.
Therefore if this process can be taught and the knowledge transferred quicker, then the benefits will be felt in shorter space of time.
This is not just about business knowledge either.
Best practices within data management are not always relevant to every company and every situation. Having the ability and adaptability to make the most of any situation is not a skill that can be taught in a classroom, it needs to come from somebody who has been there and can teach in real time.
Big Data is perhaps one of the most important areas for this kind of deep learning to take place as it requires more than just technical skill to succeed, but recent graduates especially, are equipped with little else.
This will require skill and patience in order to truly appreciate the lessons they are being taught. One of the reasons for this is that some of the most important elements are difficult to describe and teach. This kind of knowledge is known as operating at an engram level.
The military refer to this as an OODA Loop (observe-orient-decide-act) and is the elements of a role that are vital but often done without real recognition of what makes them do it.
This could be ‘gut feeling’ something that ironically Data Scientists are sometime accused of trying to eradicate. It may be that something doesn’t feel right about a data set or analysis, but the reason it doesn’t feel right cannot be explained. This is something that deep learning and knowledge transfer can achieve.
Like every job in the world, Big Data orientated roles are about so much more than the equipment you can use, deep enterprise learning will allow you to impart these additional skills to the benefit of the entire company.