Machine Learning is Changing Data Entry Trends

EM Admin
Jun 13, 2019
0 Comments

Are you still depend on OCR for digitizing hard copies?

Tragically, data entry is a time-consuming exercise. You bend over backwards to extract and load zillions of data. But when it comes to quality, inaccuracies turn your life into a hell. It is already a tiresome job. Moreover, you have to deal with anomalies.

Discrepancies completely exhaust your team. Despite being the best outsourcing data entry Company in the UK, for example, your utmost goodwill shakes at the end.

Would you delight that moment?

Certainly, nobody will be happy upon seeing that downfall. But indeed, typical data entry methods can easily break your back. However, machine learning is emerging as a ray of hope. I will share how it’s shedding our workload in the latter half of this blog.

Challenges with typical data entry:

Manual Entry: What if you have a database carrying millions of records, tables and images in different formats? How can you convert an excel file or doc into PDF being alone? Do you have an expert team that can input millions of records within a short nick of time? What if the turnaround time will be more than that of the fixed deadline?

Certainly, a workforce cannot beat software. It is evolved to make our life simpler. What data you input in eight hours, the machine learning can put on the records within an hour. So, it’s the bane of your life to enter data manually.

Downsides of OCR: This technology is often utilized to capture text from the image-only file. Simply say, it converts a hard copy into digital. But, these shortcomings enable you to think twice before sticking to it-inconvertible font-size, uni-dimensional pages, editing sequentially, inactive spell checking to check case sensitive data (GATE or gate), non-textual glyphs, incorrect alignment and a lot more.

Data Storage: Locally, the data are stored on the hard disks. Being restricted to office premises, one cannot access it remotely. However, this challenge can be minimized by enabling remote access. But, the security and confidentiality can be compromised.

Accessibility Constraint: As aforementioned, the data entry team mostly works on a local drive or server. If urgency demands remote access to that data repository, one requires seeking permission from the IT team and higher authority. The permission can be an open invitation to the cyber spies, if being accessed the server through public network or Wi Fi.

Tussling with Re-Formatting: Sorting and streamlining data into a requisite format is what most of the clients sought after. They actually approach for data conversion from one format to another. You can live up to such expectations only if you have a data entry team for restructuring data. It’s a part of the data cleansing process.

How is machine learning changing the data entry trends?

Machine learning is fusing transformation in the digital world. With the help of data mining, the miners underscore the patterns that are imperative to get off the shortcomings. The data entry domain is also undergoing this makeover. The big shots of software technology have made it more intelligent.

Recently, an eCommerce giant launched a software, which is far excellent than that of the optical character recognition system. The AI powered advanced data entry tools have these features: