Tools for Your Data Science Workbench
Access More Data and Cut Prep Time with a Data Science Workbench
Manual data prep and extraction is expensive. So are data scientists.
Yet, they spend at least 60% of their time cleaning and organizing data.
Why? The answer is simple. Information is tough to access because of where it’s stored or how it’s labeled.
It’s logical to think that machine-created data is also machine-readable, but it’s not. For it to be machine-readable, there would have to be one standard data structure for all organizations to follow.
Thankfully, there is a way to easily clean and normalize all data…
Here’s How You Can Save Time
and Get Better Data Science Results:
As you may know, accurate text extraction is hard to achieve, even with modern OCR engines. This is because OCR needs perfect images of pages – without any defects, images, borders, stamps, bar codes, etc.
Grooper’s layered AI ensures extremely accurate text recognition along with an understanding of the information in the text.
Meaningful analytics and BI requires accurate data from as many sources as possible.
Augment your analytics to unlock difficult data from obscure sources like paper and electronic transactions and expand your decision-making processes to more functional and front-line roles for your employees.
Data Cleansing Tools
The Grooper platform wasn’t built by combining products together through APIs. Because our tools are built into one system, you can do more with original data sources.
In addition, by not jumping between tools, you can automate high quality data cleansing and integration more quickly.
Built-in text classification adds the context you need to understand the intent of a block of text.
NLP is part of Grooper’s layered AI approach, which enables a very accurate understanding of document data and text.
Machine Learning Tools
Grooper provides precision control over training. Because of the way our data science workbench pairs layered intelligence with fine-tuned controls, machine learning project results are tied to very specific training actions, and not to black-box algorithms.
Give Valuable Business Insight and Deploy Models Faster through Grooper’s Data Science Workbench Tools
Boost your data science tasks, such as:
Tools such as Python, NumPy, Apache Spark, and TensorFlow transform the way you work with data, but have frustrating limits extracting 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.
Data Science Workbench Testimonials
“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
“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
“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 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.