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Grooper is a software application that helps organizations innovate workflows by integrating difficult data. Grooper empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, Grooper is an intelligent document and digital data integration platform. Grooper combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing. Grooper – intelligent document processing; limitless, template-free data integration.	Getting Started
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	2.80 Reference Documentation

Featured Articles

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This is a snippet of the Grooper Design Studio UI showing the Data Element Overrides tab. Data Element Overrides Grooper solutions can range from simple scan and archive processes to extremely complex solutions. Data Element Overrides allow discrete control of Data Elements on a per Content Type basis. This greatly magnifies Grooper’s inheritance-based architecture and allows for more robust and scalable Data Models. You are no longer required to make copies of Data Elements when you just need to modify a property for an oddball Document Type. This can greatly save time building the solution and reduce complexity by eliminating those copied Data Elements. One can also quickly and easily Test Extraction directly in the Overrides tab. After modifying any of the Data Element properties, you can easily test the results of the modification against a test Batch without leaving the tab.

You can talk to us! Do you have an idea for an article? Have you noticed something missing from one already in the wiki? Do you have other comments or feedback about the wiki? If so, check out the Documentation Requests section of Grooper x Change. This is your way to communicate with our documentation team. Please, let us know how we can continue to improve our wiki.

New in 2.9

Featured Use Case

Welcome to Grooper 2.9! Below you will find helpful links to all the articles about the new/changed functionality in this version of Grooper. Compile Stats Microsoft Office Integration Document Viewer Separation and Separation Review Data Review Confidence Multiplier Data Element Overrides Database Export CMIS Lookup Content Type Filter Output Extractor Key Box (CMIS Binding) LINQ to Grooper Objects

They’re Saving Over 5,000 Hours Every Year in Data Discovery and Processing American Airlines Credit Union has transformed their data workflows, quickly saving thousands of hours in electronic data discovery , resulting in much greater efficiency and improved member services. Discover how they: Quickly found 40,000 specific files among one billion Easily integrated with data silos and content management systems when no other solution would Have cut their mortgage processing time in half (and they process mortgages for 47 branch offices!) Learn from the document and electronic data discovery experts at BIS! You can access the full case study clicking this link.

Other Resources
Grooper x Change Grooper Downloads - Including Grooper installer files Grooper.com	2.80 Reference Documentation 2.80 SDK Documentation	Webinars and Video BIS White Papers Case Studies BIS Blog	ACE Training Schedule