Data is Everything. It does not matter in what field your company works, after all everything will be distilled into digits of data and accumulated in Database to be processed, stored, repurposed and reassembled again, again and again. All organizations have database, that acts as a repository for all of their information. And you may survive with manual data entry, or using spreadsheets or just folders with documents for some time, but eventually just mare amount of Data will become overwhelming.
Luckily there are plenty of solutions for your Database. You can choose between SQL (MySQL, Access, Postgres, …) or NoSQL (Mongo, AWS, …) solutions for storing and processing Data, but there will be always an issue of how raw unprocessed digits get from images or texts into more structured form of your Database. Identifying and transferring all of this data can be a bit of a task. Misreading data or mismatching of data to fields could easily ruin your data processing system. Thus, precision of data character recognition becomes essential.
One of the solutions is to keep these processes of scanning and data transferring separate. You can use one software for character recognition and transferring data from image to PDF or text document. And then to use PDF (or text) to database converters to extract that data into your database format. The very obvious disadvantage of this approach is that it adds the whole extra step into your data processing. You will start accumulate additional errors, will add time for setting up additional conversion, will add time to data processing and will add time for inevitable error identifying and bug fixing. It may work for smaller companies, but on larger enterprise level it becomes cost prohibitive.
Another solution is OCR to Database direct approach. Using OCR to database, scanned images can be transferred directly to a database where they are converted into searchable documents and then stored and processed. Ultimately when such software is used employees do not have to spend hours locating files in the database and therefore their time and energy can be saved, leading to cost savings.
Fortunately many OCR packages offer you an option to automate this process, or at least to do everything while staying inside of the one OCR ecosystem. Most of the Enterprise level OCR solutions (like SimpleIndex, Abbyy FineReader Server, Abbyy FlexiCapture, or IRIS Document Server) have this function implemented in it on larger, highly customizable levels. That would allow you to automate your data flow directly from paper document to database files.