The structure of inputs greatly influences automation viability. Businesses starting their automation journey commonly prioritize processes that consist of structured input data first. Over time, as more of the “quick wins” get automated, the automation pipeline will have a backlog of increasingly challenging automation opportunities, many of which have unstructured input data. Fortunately, advancements in Machine Learning, OCR, and NLP have enabled the structuring of unstructured data. Explore our infographic, as it breaks down the difference types of data, the challenges and their respective solutions.