Adfor S.p.a.

IBM Datacap 9.0 - Application Builder with FastDoc and Datacap Studio

Adfor S.p.a.

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This course shows you how to create and configure an application using FastDoc and then to enhance it using Datacap Studio. You create two applications with the Application Wizard, one using the Learning Template and the other using the Form Template and you learn when to use a Learning Template rather than a Form Template for your application. You use FastDoc to quickly configure processing for a new form and then further customize the application using Datacap Studio If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course . Objective Upon completion of this course, participants will be able to: Work with the Datacap Studio development interface Explore Rulemanager, Zones, and Test views in Datacap Studio Create an application and configure with FastDoc Create an application based on the Learning Template in Application Wizard Configure Batch Structure (Document Hierarchy) Setup Image Enhancement Configure Page recognition Enhance the FastDoc Application in Datacap Studio Create the Locate rules to locate fields with keyword search Locate fields with intellocate (automatic in the learning template) Configure the field Validation rules to validate the fields on the pages Extend the Locate and Validation rules to handle more page types Export to IBM FileNet Content Manager repository Convert document images to pdf format Configure Export Rules for IBM FileNet Content Manager Application debugging and Test the task profiles Use the Test tab in Datacap Studio for application debugging Locate and use Datacap Logs to troubleshoot Datacap error conditions Create a multi-page application based on Form Template Use Page Separator pages to configure a multi-page batch Recognize hand written fields with...

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· A chi è diretto?

Developers who are responsible for building a Datacap application from scratch. Anyone who needs to rapidly develop a capture solution with the intention of enhancing the application using the full capability of the IBM Datacap suite.

· Requisiti

Knowledge of the following courses are required: F220 IBM Datacap 9.0: Introduction F221 IBM Datacap 9.0: Application Builder FastDoc


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Datacap Studio interface Rulemanager View Document Hierarchy Rulesets ( Global and Application) Rulset Types (Compiled and Conventional) Rule mapping Properties Task profiles Action libraries Zones view Test view Create an application based on Learning Template Characteristics of a Learning Template Application and docType Learning Template Configuration Document Integrity Learning Template Fields Configure a Learning Template application The Learning Template and fingerprints The Learning Template workflow Routing and export Enhance FastDoc Application Application enhancement with Datacap Studio Associate rules with a document hierarchy object Associate a ruleset with a task profile Validate Rules and actions Create Locate and Zone rules Locate actions Create Validate rules Validation actions Validate and export task relationship Mixing locate and validate actions Expand the Locate and Validation rules Document export to corporate data repository Export types Export to IBM FileNet Content Manager Repository Actions to export to IBM FileNet repository Application Debugging and Logs Application Debugging in Datacap Studio Logs Used in Debugging Setting Rulerunner Logging by Application/Task Datacap Studio Test Tab Set Breakpoints Breakpoint Configuration Interfaces Create a Multi-Page Form Application Configure a multi-page document in a Form Template application Page Separator pages Full page zonal recognition Data recognition Bar codes (for Page Separation only) OCR (optical character recognition) Recognize hand written text fields ICR (intelligent character recognition) OMR (optical mark recognition) Validate with database lookup Configure a lookup database Database Lookup Actions

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