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IBM Datacap 9.0.1: Datacap Studio Course Overview

IBM Datacap 9.0.1: Datacap Studio Course Overview

The IBM Datacap 9.0.1: Datacap Studio course is designed for individuals seeking to develop and enhance their skills in document capture and data extraction using IBM Datacap. This comprehensive course covers the essential components of Datacap Studio, where learners will gain hands-on experience with various views such as Rulemanager, Zones, and Test view, essential for configuring and testing applications.

From creating an application using a Learning Template to enhancing applications with advanced rulesets, the course guides learners through a structured learning path. It includes configuring export routines to corporate data repositories like IBM FileNet and connecting to cloud storage solutions like Box.

Learners will also delve into application debugging, log analysis, and cognitive capture techniques, leveraging IBM's cutting-edge Content Classification and Insight Edition capabilities. This includes understanding the use of Big Insights, System T, and cognitive templates for advanced data analysis and extraction.

Through practical lessons on creating locate, validate, and export rules, the course enables learners to efficiently process documents and extract valuable insights. Additionally, the course explores the integration of cognitive technologies to transform traditional capture with the power of AI and machine learning.

By completing this course, learners will be equipped with the knowledge to effectively use Datacap Studio, enhance document capture workflows, and integrate cognitive capabilities into their capture solutions, thus becoming proficient in modern data capture techniques.

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Target Audience for IBM Datacap 9.0.1: Datacap Studio

The IBM Datacap 9.0.1: Datacap Studio course is designed for IT professionals looking to master document capture and data extraction.


  • Document Management Professionals
  • Data Analysts and Scientists
  • Developers and Programmers specializing in automation and integration
  • IT Consultants working on enterprise content management solutions
  • IBM FileNet Content Manager Administrators and Developers
  • Business Process Engineers
  • Technical Support Staff
  • System Administrators
  • Data Capture and OCR Solution Architects
  • Enterprise Architects focusing on information management
  • Cognitive Technology Specialists
  • Quality Assurance Engineers specializing in document management systems
  • Professionals working with Box repository management
  • Technical Project Managers overseeing data capture and management projects


Learning Objectives - What you will Learn in this IBM Datacap 9.0.1: Datacap Studio?

Introduction to the Course's Learning Outcomes and Concepts Covered:

The IBM Datacap 9.0.1: Datacap Studio course aims to equip students with the skills to design, enhance, and debug Datacap applications, integrating cognitive and content classification capabilities for efficient data capture and workflow automation.

Learning Objectives and Outcomes:

  • Understand the Datacap Studio interface, including Rulemanager, Zones, and Test views.
  • Create and configure a Datacap application using the Learning Template, incorporating document integrity and fingerprinting techniques.
  • Enhance applications within Datacap Studio, associating rules with document hierarchy objects and task profiles.
  • Develop skills in creating Locate and Validate rules for accurate data extraction and validation.
  • Learn to export processed documents to corporate data repositories like IBM FileNet Content Manager.
  • Develop proficiency in application debugging, log analysis, and the use of breakpoints for troubleshooting.
  • Integrate Box repository connectivity, configuring import and export tasks related to Box within Datacap.
  • Gain insights into Cognitive Capture, leveraging Content Classification, Big Insights, and System T for advanced data analysis.
  • Comprehend the implementation and functionalities of Insight Edition, including text analytics and the utilization of annotators for data processing.
  • Customize Datacap applications using Visual Studio to create custom control panels for enhanced user interaction.

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