![]() What technology are you currently using? How is your company architecture structured from a technical standpoint? How is your company organized? What about your employee and management structure? ![]() What processes would you want to automation, and how do you measure them? You want to make sure that you have at least the basic answers to these questions: To reduce bottlenecks and confusion, you first want to asses how ready your organization is for automation. Getting started with OCR and automation takes a few steps, but not because of implementation. From individual use to small businesses to giant mega-corporations, Optical Character Recognition has a very definite place in today's digital world. On the outset, it can sound like something simple, but its applications are far reaching. For businesses, this makes paper-to-digital data entry much quicker. For example, if you've ever scanned a receipt into your phone, you've used this technology. OCR automates the process of converting unstructured formats into machine-readable, searchable text. This is where an OCR program comes into play. These documents are unable to be compiled or searched without someone to transfer them to a more structured format, such as text files. Hand-written content, printed documents, emails, digital images, and PDFs are all examples of these formats. ![]() Yet, while data is one of the largest drives of the digital transformation, over 80% of all business data is embedded in unstructured formats. IDC (International Data Corporation) predicts worldwide data will exceed 175 zettabytes by 2025.
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