Make versus buy decision in traditional companies in the domain of Data Science related projects and positive examples of in house Data Science team impact in such companies

There's a conundrum companies always face in terms of make versus buy decision - it is something they deal with in terms of producing products, sourcing raw materials etc. The same extends to the domain of Data Science. For a traditional company (non FAANG, FMCG or other sectors outside tech) looking to transform itself digitally, which option seems to have better chances of success - developing in house expertise for working on use cases and deploying Data Science (ML/OR) solutions …

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