GRM INTRODUCES PROPRIETARY INTELLIGENT CHARACTER RECOGNITION SOLUTION.

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Solution Unlocks the Value of Vast Quantities of Unstructured Data.

Jersey City, NJ June 7, 2017 – GRM, a leader in enterprise content management, has developed a proprietary intelligent character recognition (ICR) solution designed to help clients more efficiently transition physical and unstructured data to highly-leveragable, structured digital data.

Given its deep roots and expertise in document and records management, GRM is acutely aware of the fact that an overwhelming percentage of most businesses’ information remains in physical and unstructured formats. Remaining in those formats, the data is of limited value; as it is not easily accessed, shared, combined with other information or efficiently analyzed. GRM’s new solution extracts and classifies that data; providing invaluable insights on business operations.

In the digital age, one of the perennial challenges has been efficiently transitioning physical and unstructured data, at scale, into digital formats. The proprietary GRM ICR solution does that. GRM CEO, Avner Schneur, says, “The GRM ICR solution supercharges efficiency on two fronts. One, the technology automates the previously manual process of turning unstructured data into structured data. And two, the resulting structured data is more easily shared, analyzed and acted upon.”

The GRM ICR Solution consists of three primary components. First, a Receiver Engine that recognizes, captures and converts to digital. Second, the ICR Engine that extracts data and auto classifies it based upon previously defined parameters. And finally, the Content Management portion of the GRM platform that archives the resulting data and feeds it into the workflow automation components of the solution.

Beyond the core conversion and extraction processes, the ICR solution also brings quality control value to the data management process. In short, the GRM technology validates data in real time; identifying errors, inconsistencies and omissions and subsequently flagging them for attention rather than feeding them into the workflow process where they would be identified later, creating delays and incremental costs.

“We understand, perhaps better than anyone, the challenges that organizations face – transitioning from a reliance on physical formats to a digital-centric operation,” says Schneur. “Our expertise in both physical and digital data management allows us to help them move along that path every step of the way — on a schedule and in a way that makes the most sense for their business.”

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