In this short story, we want to specify work processes in the life of an accountant, that can be optimized by OCR. This case study builds on our last blog post. If you haven’t read it yet, please feel free to do so now!
…once again, describes the describes the transformation and conversion of handwritten or electronic images into machine encoded text. An OCR document is searchable and accessible at all times. As you already know, this transformation of documents enables it to fit perfectly into an organized document management system. Now let us use this knowledge to optimize workflows of an accountant.
In typical fashion, the accountant makes sure that records are accurate. E.g., he secures the payment of invoices. Those are just examples.
To showcase the huge potential of an OCR Server I want to take a closer look at the following situation.
Tom (accountant) is asked to provide overview sheets over financial statements of his complete firm.
Let’s assume Tom has 100 various documents, which hold data, that is relevant for one overview sheet on financial streams of the company.
Whilst a manual collection and the search for relevant data would take Tom hours, he could make use of OCR.
First, Tom would have to transform all of the documents into OCR’d ones. That might take a few minutes for 100 documents. He now finds himself in front of a virtual stack of 100 OCR’d documents.
This implicates, that in any case Tom could look for certain data using keywords and specific letter or number combinations.
If he is looking for IBAN numbers for example, he could just type in “IBAN” in the searching field. The intelligent document management system then should be able to search the stack of documents for this keyword.
Now, instead of looking through every document to find the IBAN numbers, Tom had to perform the writing of one word combined with two “mouseclicks”.
The found metadata can now be extracted and then can be perfectly used for Tom’s overview sheet on money streams. Tom is happy because he can now really focus on analyzing metadata instead of searching it in the first place!
THANK YOU TOM!
I hold the opinion that this timesaving and stress relief is what every employee and employer is/should be looking for regarding process optimization.
Just think about how much happier people would be. Employees could solely focus on what they are actually meant to do! OCR is offering a solution, that automates work and let your people perform their key tasks more efficiently.
I wonder how much enthusiasm could resurface within employees when using an OCR Engine like ours. To find out, test our Prototype here: