The limits of extraction technologies & how to boost what you have
Extraction technologies and automation solutions may be the best combo since “ctrl + c” & “ctrl + v” came onto
Extraction technologies and automation solutions may be the best combo since “ctrl + c” & “ctrl + v” came onto
In April 2020, we were just beginning to understand the multitude of effects the pandemic had on business. We think
All businesses, let alone industries, have varying amounts—and types—of information that need to be processed. Some need the help of a crowd that’s as unique as their data processing requirements.
At ScaleHub, we\’ve been elevating the data processing game from the beginning, but we pride ourselves on finding new ways to bring our clients value. That’s why we configure different kinds of crowds to serve specific processing needs and functions.
Keying in small bits of data that appear on a screen seems simple enough, but finding skilled contributors is absolutely
Behind one bit of technology stands another piece of technology that can make a process happen even more effectively. Our
Snippeting is the process of breaking a given document and the various bits of information it contains into pieces. Then, those snippets of information are sent to crowd contributors for validation.
It seems counterintuitive: how could it be safe to send sensitive customer information to a large crowd of unknown individuals all over the world? In fact, when done correctly, crowdsourcing is actually safer than having your employees work with this kind of data.
For all the incredible technological leaps and bounds we’ve made in the past few decades, we haven’t been able to bypass the need to transfer information from a document, image, or video to a software system. The task of data entry remains a thorn in the side of any organization that solves business challenges with technology.
“Data-driven decision making” is a term we’ve all heard by now, but what happens when the data driving business decisions is inaccurate? It’s no secret that the task of data entry is infamously inaccurate and nearly impossible to scale, but how great is the threat that “bad” data—most often the result of human error—poses to an organization?
Maybe it’s presumptuous to make predictions for the year ahead after 2020 brought us so many surprises, but one thing is certain: the Covid-19 pandemic has profoundly affected the way we do business.