Easy Information Integration Through a Proven, Trainable Platform

Supervised Machine Learning picture

Just one look was all it took. Information technology officials at Oklahoma State University knew just minutes into a demo that this machine learning solution would provide much faster data to systems all over campus.

They would eliminate use of tedious separator sheets that helped classify documents for their previous system – a system that was supposed to be one the best in the world.

Because Grooper understood their document content based on stamps, seals, logos, and overall visual appearance, they rapidly integrated critical data with far greater accuracy.

The information technology team at Oklahoma State University saved hundreds of thousands of dollars and the ROI was seen in just 6 months through:

  • Greater operational efficiency by speeding up access to nearly every department’s data
  • Freeing up virtually every employee working with documents to spend their time on higher-level tasks
  • Increased protection of documents that contain sensitive information
  • Accessing new sources of data to increase enrollment

Grooper is also reducing processing times for form data by over 95 percent at a Federal Government agency. By using near-perfect information intelligence through machine learning, the agency’s unstructured data integration is no longer burdened by templates or slow, manual tasks.

How Machine Learning Tools Improve Efficiency

Much improved operational efficiency is possible through exact control over training. Because of the way Grooper uses layered intelligence with fine-tuned controls, results are tied to very specific training actions, and not to black-box algorithms.

Grooper can start out with no training and learn as it goes, or can be pre-trained by an administrator using samples from an existing content repository. For more info, take a look at natural language processing.

Need more info on Grooper machine learning? Glad you asked!

Companies and government agencies are transforming their operations with Grooper machine learning. In this case study, machine learning has resulted in:

  • Great cost effectiveness. Almost 90% of the organization’s document data is integrated and organized through the same platform.
  • An additional 70% in reduction of document manual entry
  • Information available faster for employees and members
  • Development of revenue-generating product innovations and services

Download our case study to learn more:

Testimonials

  • “Practically every unit here within our agency uses Grooper on some level. Grooper has cut down on our indexing time by 70 percent.”

    Ryan Freeman-Smith, Manager, Oklahoma Health Care Authority
  • “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 our president’s office.”

    Erin Girton, Database Administrator/Content Management & Capture Administrator, Oklahoma State University
  • “Grooper allows my staff to process ten times more volume than we could with our previous image capture solution; our office thinks Grooper is worth its weight in gold.”

    Marie Ramsey-Hirst, Court Clerk, Canadian County
  • “All of the information in some file some place is very hard to retrieve. We ought to be able to get it with the click of a button, and now we can. Using the system that Grooper provides to scan the documents and mine the data eliminates many manual processes. My belief is that in the long-term it doesn’t really cost us anything because it’s going to pay us dividends over and over again. I would be surprised if anybody has a system that’s any better than this.”

    Gary Ridley, former Oklahoma Secretary of Transportation, former Director of Oklahoma Dept of Transportation and former Director of Oklahoma Transportation Authority
  • “Grooper will give us the access to more contract data than ever before by quickly extracting the data across thousands of lengthy contracts, allowing employees to spend time on value-adding data analysis rather than extraction.”

    Glena Brauer, Supervisor – Marketing Contracts and Compliance, Chesapeake Energy

Featured Case Studies

Thousands of companies choose BIS to enrich products and services with unique data-centric solutions. Here are some of their stories.

Data Extraction In Action: Saving Hundreds of Thousands of Dollars in 6 Months

Slowed by expensive and tedious data workflows with its current capture system, Oklahoma State University chose Grooper. They saw a quick return on investment, modernized data applications, streamlined student record processing in many ways, and can communicate with prospective students faster.

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