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IBM Datacap 9.0.1: Application Builder (F261G)     » zur vollständigen Seminarliste

This comprehensive course covers various aspects of Datacap application building using the FastDoc and Datacap Studio tools. It introduces the interface, and shows how to create and enhance applications from Form and Learning Templates for processing batches. You also learn about Box integration for Datacap and Datacap Cognitive Capture.

Learning Journeys or Training Paths that reference this course:

Alle IBM Trainings werden mit Original IBM Schulungsunterlagen angeboten und finden in Kooperation mit dem von Arrow ECS autorisierten IBM Schulungspartner esciris statt.

Kurs-Id: IBM_F261G

Seminarinhalt
  • FastDoc Capabilities Overview
  • FastDoc local mode

    • Configure local batch profiles and parameters
    • Create a local capture batch
    • Process local batches
    • Scan, process, and verify a batch, Correct error, and Export the batch
  • Introduction to FastDoc Datacap Server mode

    • FastDoc server mode interface
    • Documents, pages, and fields view
    • Ruleset properties view
    • Workflow view and fingerprints
    • Run batches in FastDoc server mode
    • Data validation methods
    • Export options
  • Configure batch structure

    • Application Templates and Template folder structure
    • Create an application and Configure documents, pages, and fields
  • Configure form template rulesets

    • Configure rulesets
    • Batch level ruleset Import images, Convert files to images, Image enhancement
    • Recognize pages and fields
  • Define fingerprints and test rulesets

    • Define Fingerprint and select zones
    • Design time testing
    • Test pane, Profiles and rules, history and results, error resolution.
  • Populate fields with keyword lookup
  • Configure validate fields ruleset
  • Export to IBM FileNet Content Manager
  • Configure a multi-page document in a Form Template application

    • Page Separator pages
  • 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
  • Datacap Studio interface

    • Rulemanager View
    • Zones view
    • Test view
  • Create an application based on Learning Template
  • Configure a Learning Template application
  • Enhance the Application in Datacap Studio

    • Associate rules with a document hierarchy object
    • Associate a ruleset with a task profile
    • Validate Rules and actions
  • Create  and expand the Locate and Validation rules
  • Document export to corporate data repository
  • Application Debugging in Datacap Studio

    • Logs Used in Debugging
    • Datacap Studio Test Tab
  • Visual Studio

    • Convers Custom Control Panels
  • Connect to a Box repository
  • Configure Datacap Box connection

    • Configuration Box connection parameters
    • Configure a Datacap application for Box import and export
    • Box rulesets and action libraries
  • Introduction to Cognitive Capture

    • Terms you will encounter, Cognitive Capture, Insight Edition, Content Classification, Big Insights and System T. Alchemy API,
    • Alchemy API key application
  • Content Classification

    • Content Categorization
    • Cognitive Capture techniques
    • Cognitive Capture actions
    • IBM Content Classification
  • Insight Edition on a Datacap foundation

    • What is Insight Edition and how is it implemented?
    • What is Big Insights and System T?
    • What is in the Block?
    • What are annotators?
    • Layout Based Classification
Informationen
Zielgruppe

  • Application Builders who are responsible for building Datacap applications
  • Anyone who needs to know how to rapidly develop a capture solution and enhance the application using the capability of the IBM Datacap suite
Vorkenntnisse

The following course or equivalent knowledge is required:

  • IBM Datacap 9.0.1: Introduction (F251G)
Termine
Hinweis

Das Training findet auf Deutsch statt.