IBM Datacap 9.0.1: Datacap Studio Course Overview

To successfully undertake the IBM Datacap 9.0.1: Datacap Studio course, participants should meet the following minimum prerequisites:

• Basic understanding of document capture concepts, including scanning, importing, and exporting documents.
• Familiarity with document processing and workflows within an enterprise environment.
• Fundamental knowledge of database concepts and how databases interact with document capture software.
• Basic experience with Windows operating systems since Datacap Studio is a Windows-based application.
• Comfort with navigating and using Windows-based software applications to configure settings and properties.
• An introductory level of understanding of XML and XML schemas, as Datacap utilizes XML files for configurations.
• Some exposure to scripting or programming, which will be helpful for understanding rule-based actions and customizations within Datacap Studio.

These prerequisites are intended to ensure that learners have the foundational knowledge required to grasp the concepts and follow the course material effectively. Please note that while these prerequisites are minimal, participants who exceed them will likely have an easier time understanding the more advanced topics covered in the course.

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.