Knowing what knowledge to share in data science

Data science findings, like laws and sausages, are something people generally like the results of but don’t pay much attention to how they are made and who makes them. Many businesses may be tempted to ignore the processes behind the snazzy insights that data scientists provide. However this is disregarding an untapped resource, the data scientist is often delighted to share their methodologies with others. The only realistic limitation to sharing is restrictions around IP and patents. I believe that to fully realise the potential that data science unlocks for a business, a relationship of collaboration and mutual sharing of knowledge should be adopted. It is much more powerful to share knowledge throughout a business at key stages of a project. Whether you’re a third party data science provider or…

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