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Getting Started
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
	Install and Setup
	2.80 Reference Documentation

Featured Articles

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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.

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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

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-[[File:weighted_rules_00.png|right|250px|link=Confidence Multiplier]]
+[[File:Data element overrides 000.png|thumb|350px|link=Data Element Overrides|This is a snippet of the '''Grooper Design Studio UI''' showing the '''Data Element Overrides''' tab.]]
 <blockquote style="font-size:14pt">
-'''[[Confidence Multiplier]]'''
+'''[[Data Element Overrides]]'''
 </blockquote>
-The '''''Confidence Multiplier''''' property of a '''[[Data Type]]''' allows you to manually alter the confidence score of returned values.
-Use of this property is sometimes referred to as ''weighted rules''.  Its practical application allows a user to increase or decrease set the of a '''Data Type''' extractor's result (or set its confidence to an assigned value).  This changes the confidence of the extractor's results, making them appear more (or less) favorable.  When used in combination with the '''''Order By''''' property set to ''Confidence'' on a parent '''Data Type''', you can manipulate which result the parent prioritizes.
+'''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.
-In effect, you change the ''rules'' about the ''weight'' or priority a particular child extractor by changing its confidence scores.
-===General Usage===
-Modifying the '''Confidence Multiplier''' property of a '''Data Type'''  is done by clicking on the ellipses in the '''''Result Options''''' property which opens the '''''Result Options''''' submenu.
-The '''''Confidence Multiplier''''' property defaults to ''1'' and can be changed in this submenu. The field is a double and takes floating point values.
-For example, a value of ''0.5'' will multiply the confidence of output results by 0.5. If the output confidence was 100%, now it will be 50%. Similarly, you can increase the confidence, even above 100%. If the '''''Confidence Multiplier''''' property is set to ''3'', and an output result had a 50% confidence, it will not display as 150% confidence.
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 You can talk to us!