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A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. Successful POCs should prove the larger value of a system, ensuring it’s aligned with forwarding the company’s longer-term strategic objectives.
When it comes to the evaluation of data science solutions, POCs should prove not just that a solution solves one particular, specific problem, but that a system will provide widespread value to the company. Data science POC projects should show that they are capable of bringing a data-driven perspective to a range of the business’s strategic objectives.