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:
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.
Text Classification
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.
Text Extraction
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.
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.
Augmented Analytics
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.
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
Featured Case Studies
Thousands of companies choose BIS to enrich products and services with unique data-centric solutions. Here are some of their stories.