Data Science Workbench

Manual data preparation and extraction is expensive. And so are data scientists.

Yet, they spend 60% of their time cleaning and organizing data.

Why? The answer is simple. Information is obscured by non-standard and inconsistent data formats.

It’s logical to assume that machine-created information is also machine-readable, but it’s not. There would have to be one universal, standardized data structure for all organizations to follow.

If you solved the obscurity problem, you would reduce the costs to advance analytics and improve decision-making and problem solving organization-wide.

Deliver Valuable Business Insight Faster

Augment data science activities like data preparation, pattern searching, and building machine learning models. Tools like Python, NumPy, and TensorFlow are transformative, but have frustrating limitations for large document sets. While not open source, Grooper’s open cockpit design provides transparency and fine-tune control over settings.

Grooper combines the power of open source tools with native data and document processing tasks to function as a highly efficient data science workbench.

Text Classification

Built-in text classification adds the context you need to understand the intent of a block of text. Natural language processing is part of Grooper’s layered AI approach which enables an extremely accurate understanding of document data and text.

Machine Learning Tools

Grooper provides precision control over training. Because of the way Grooper pairs layered intelligence with fine-tuned controls, results are tied to very specific training actions, and not to black-box algorithms.

Data Cleansing Tools

The Grooper platform wasn’t built by combining multiple products together through APIs. Because image processing, cleanup, and OCR functionalities are built into one system, Grooper users do more with original data sources. By not jumping between tools, organizations automate high quality data cleansing and integration more quickly.

Text Extraction

Accurate text extraction is difficult to achieve, even with modern OCR engines. OCR needs perfect page images – free from defects, images, borders, stamps, bar codes, etc. Grooper’s layered AI ensures extremely accurate text recognition along with an understanding of what information the text represents.

Augmented Analytics

Meaningful analytics and business intelligence require accurate data from as many sources as possible. By unlocking difficult data from obscure sources like paper, and electronic transactions, organizations expand their decision-making processes to more functional and front-line roles.

Testimonials

  • “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

  • “In acquisitions and divestitures, there’s millions of dollars at risk for us in knowing precisely what lease documents actually say versus what cover sheets say or the information being represented to us. With Grooper, you get precise information that has an impact on defects and revenue realization within the 45-day buying window. Without Grooper, you’d just be guessing.”

    Clay Chamberlain, General Counsel and Director of Legal Operations, Corterra Energy

  • “Some people say information is power. I would say information gathered easily is power. If you can’t access your information easily in today’s world, it’s meaningless. Grooper gives us easy access.”


    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.

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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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