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[[File:content_type_filter_000.png|right|thumb|125px|link=Content Type Filter|Graphic depicting the notion of Data Filtering.]]
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'''[[Database Export]]'''
'''[[Content Type Filter]]'''
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[[Image:Database_export_002.png|right|300px|link=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. [https://en.wikipedia.org/wiki/Table_(information) Tables] in [https://en.wikipedia.org/wiki/Database 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 ('''[https://en.wikipedia.org/wiki/Microsoft_SQL_Server Microsoft SQL Server]''' or '''[https://en.wikipedia.org/wiki/Open_Database_Connectivity ODBC-compliant]''') tables in a database and intelligently populate said tables.<br/>
Filtering information can allow faster iterating and easier testing.


Database export is the chief delivery device for "collection" elements. These are '''[[Data Element|Data Elements]]'''  for which there will be a collection, or "set", of values. Examples of these are '''Data Columns''' found within '''[[Data Table|Data Tables]]''', or '''[[Data Field|Data Fields]]''' located in '''[[Data Section|Data Sections]]''' with the '''''Scope''''' property set to ''MultiInstance''.
'''''Content Type Filter''''' is a property on the '''Classify''', '''Extract''', and '''Data Review''' activities. Its addition was born from the notion that testing and iterating should be as easy as possible in '''Grooper'''.


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.
This functionality can be useful to test and implement new '''Document Type''' additions to your '''Content Model''' easily.  Instead of running activities like '''Classify''' and '''Extract''', using the entire '''Content Model''' with all the existing '''Document Types''', you can now use '''''Content Type Filters''''' to restrict these activities to certain '''Document Types.'''
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You can talk to us!
You can talk to us!

Revision as of 08:33, 31 August 2020

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
2.90 Reference Documentation


Featured Articles Did you know?
Graphic depicting the notion of Data Filtering.

Content Type Filter

Filtering information can allow faster iterating and easier testing.

Content Type Filter is a property on the Classify, Extract, and Data Review activities. Its addition was born from the notion that testing and iterating should be as easy as possible in Grooper.

This functionality can be useful to test and implement new Document Type additions to your Content Model easily. Instead of running activities like Classify and Extract, using the entire Content Model with all the existing Document Types, you can now use Content Type Filters to restrict these activities to certain Document Types.

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