Grooper was built in 2015 from the ground up by BIS, a company with 35 years of continuous experience in developing and delivering document automation technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data.
The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.
Dan Rotelli, CEO of Grooper says that its vision is a world where unstructured data is easily accessible, understandable, and useful for driving business efficiency and innovation. The company is on a mission to help organizations transform their information and workflows to become industry leaders.
He believes being able to know and trust the data is essential for meaningful digital transformation and business process automation. Grooper helps companies understand and develop a practical working relationship with their unstructured data because when that data is no longer a mystery, it becomes useful for achieving efficiency and innovation to drive revenue growth and competitive advantage.
Dr. Chris Dearner, Product Manager of Grooper says that the company has steadily evolved since version 2.5 was released in 2015. Its newest release, Grooper 2021, provides the best intelligent automation capabilities in the market, and it shows; customers process over 100 million document pages a year and billions of data extractions daily.
According to Rotelli, industry analyst firms have taken note of Grooper. Deep Analysis ranked Grooper one of the 2020s sixteen most innovative solutions in their 2020 Innovation Index. And for the second year in a row, Everest Group has ranked Grooper a Major Contender in their annual Intelligent Document Processing PEAK Matrix® Assessment.
Erin Girton, Database Administrator/Content Management & Capture Administrator, Oklahoma State University has revealed that Grooper has saved OSU hundreds of thousands of dollars and the ROI was seen in less than six months after going live. This product has taken data processing, document scanning, and import automation to a whole new level. It's now in virtually every department including its President's office.
Ryan Freeman-Smith, Manager, Oklahoma Health Care Authority has mentioned that Grooper has cut down on its indexing time by 70 percent.
Grooper gave Change Healthcare the ability to process huge diverse client print files and extract the data into a normalized data stream for processing.
According to Todd S, one of the key features of Grooper is the ability to identify, interpret, enhance, and extract data from a large number of media types (TIF, JPG, PDF, Word, Excel, etc). Another key decision point was that there wasn't a requirement for a software developer to write code, a business analyst can use a GUI-based application to configure 98% of the exact jobs.
CEO Dan Rotelli has been involved in the design of thousands of content management, document capture, and information management projects during his tenure at BIS since 1989. Recognized as a Most Admired CEO, he has received numerous awards including multiple personal recognitions by COMPTIA and various trade organizations. He has successfully guided BIS into one of the country's most successful information automation companies through the innovation and creation of Grooper.
Dan believes that it is possible to have data without information, but impossible to have information without data. Having data that can be turned into information, gives insight. Grooper tends to get things done if the data obtained can inform and inspire it to make a difference. Depending on how the data is managed, it could take one step forward in his/her business. It can also protect one's organization from sleeping liabilities.
Grooper's main competitive differentiator is the ability to automate the integration of data from unstructured sources and documents with changing formats. This is something that most data automation solutions are unable to do without complex and fragile templates. Because Grooper was built as a platform, data from external sources are imported during data extraction to create a more accurate view and interpretation of the data. Data is then exported or integrated into any CMIS compliant repository, any databases, or in any file format.
Since Grooper was built with a layered AI approach, its machine learning is not only effective but also transparent. Its users iteratively test and build models with an understanding of how it is achieving results. There are no "black box" APIs or external algorithms in place. This creates a robust ecosystem of trustworthy and actionable information.
Machine learning and natural language processing are enabling an entirely new way of looking at data. Not only is Grooper gaining more insight than ever before, but the value it places on the accuracy and organization of data is also at an all-time high. Organizations adopting these technologies are enjoying the massive transformation. Workflow automation and intelligent data integration technologies that empower human workers are causing wide-scale innovation because new ways of working change the way organizations approach problem-solving.
"Grooper represents one of the most remarkable corporate and technology pivots we have seen. A company that was well-known and long-established in the capture/scanning market reinvents itself as a data integration platform vendor", says Alan Pelz-Sharpe, an analyst with Deep Analysis.
"Whatever the company has done so far and the seven years it has taken for development work has rewarded them well. The vision and recognition of the need for a system such as Grooper that embraces rather than tries to ignore the tricky topic of unstructured information are well-founded.
"Where traditional data integration platforms focus on structured data, Grooper's approach is to recognize, capture, and analyze both structured, and unstructured data in documents and forms. That is ambitious, and positions it, in theory at least, into some of the most complex data collection and integration challenges imaginable."
Rotelli feels that building intelligent automation from the ground up with no acquisitions and no outside technology balances a challenging development cycle with the experience to know what should be built.
Not giving development work to outside firms may lead to slow development cycles, but it creates a stronger product with a direct path to more meaningful results.
According to Rotelli, the intelligent automation market will continue to see massive growth but also continued buyer's remorse as customers begin to learn how all the pieces fit together. There is no single-platform approach to automation and what works well for one organization will likely not be an exact fit for another.
While many of the bigger offerings in intelligent automation and robotic process automation claim to have broad solution sets, the reality will be that many complementary technologies from different vendors, and even niche providers will ultimately prevail in the overall ecosystem of solution design.
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