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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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Featured Articles

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Database Export The most important goal of Grooper is to deliver accurate data to line of business systems that allow the information to be integrated into impactful business decisioning. Tables in databases remain, to this day, one of the main vessels by which this information is stored. Grooper's Database Export activity is the mechanism by which this delivery is performed. Database Export uses a configured Data Connection to establish a link to (Microsoft SQL Server or ODBC-compliant) tables in a database and intelligently populate said tables. Database export is the chief delivery device for "collection" elements. These are Data Elements for which there will be a collection, or "set", of values. Examples of these are Data Columns found within Data Tables, or Data Fields located in Data Sections with the Scope property set to MultiInstance. Two key distinctions about Grooper's Database Export activity are its ability to take full advantage of its sophisticated hierarchical data modeling to flatten complex/inherited data structures, and the ease of delivery to multiple tables at once.

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