Course Prerequisites
To ensure that participants are well-prepared to successfully undertake the IBM Datacap 9.0.1: FastDoc Server Mode course, the following minimum prerequisites are recommended:
- Basic understanding of document capture concepts, including scanning and importing documents.
- Familiarity with document processing and workflow basics.
- Experience with Windows operating systems and navigating the Windows file system.
- Basic knowledge of computer networking principles to understand client-server interactions.
- An introductory level of database understanding, particularly related to document storage and retrieval.
- Some exposure to IBM FileNet Content Manager or similar content management systems is beneficial but not required.
These prerequisites are designed to provide a foundational understanding that will help students grasp the course content more effectively. No prior experience with IBM Datacap is required, as the course is structured to introduce learners to the FastDoc Server mode interface and its functionalities.
Target Audience for IBM Datacap 9.0.1: FastDoc Server Mode
The IBM Datacap 9.0.1: FastDoc Server Mode course is designed for professionals managing document capture workflows and data validation.
Target Audience for the IBM Datacap 9.0.1: FastDoc Server Mode course:
- IT Professionals working with document capture and management systems
- Data Entry Operators seeking to enhance their data capture skills
- Business Analysts involved in document workflow design and optimization
- Solution Architects designing solutions for data and document management
- Document Control Specialists managing document lifecycle and compliance
- Technical Support Staff providing maintenance for IBM Datacap environments
- Developers who integrate IBM Datacap with other enterprise applications
- Quality Assurance Engineers focused on automating data capture processes
- Records Managers overseeing the digitization and management of company records
- System Administrators responsible for the setup and configuration of IBM Datacap
- Project Managers leading document management system implementation projects
- Compliance Officers ensuring adherence to data capture regulatory requirements
Learning Objectives - What you will Learn in this IBM Datacap 9.0.1: FastDoc Server Mode?
Introduction to Learning Outcomes:
This IBM Datacap 9.0.1: FastDoc Server Mode course equips students with the knowledge to effectively use FastDoc in server mode, create applications, configure batch structures, and export data to IBM FileNet.
Learning Objectives and Outcomes:
- Understand the FastDoc server mode interface, including the scan task and various views such as documents, pages, fields, and workflow.
- Learn to navigate and operate the ruleset properties view and utilize fingerprints for batch processing.
- Master the process of running batches in FastDoc server mode and explore different data validation methods.
- Gain proficiency in configuring export options and integrating with IBM FileNet Content Manager for data delivery.
- Create applications using FastDoc application templates and understand the template folder structure.
- Configure batch structures by creating applications and defining the relationships between documents, pages, and fields.
- Develop skills in configuring form template rulesets for image processing, page recognition, and field data extraction.
- Define fingerprints, select zones for recognition, and perform design time testing to ensure accuracy.
- Implement keyword lookup for populating fields and configure rules for data extraction, including locating terms and values.
- Configure validate fields rulesets to ensure data quality, including setting up custom error messages, and rules for date, currency, and numeric fields.
Target Audience for IBM Datacap 9.0.1: FastDoc Server Mode
The IBM Datacap 9.0.1: FastDoc Server Mode course is designed for professionals managing document capture workflows and data validation.
Target Audience for the IBM Datacap 9.0.1: FastDoc Server Mode course:
- IT Professionals working with document capture and management systems
- Data Entry Operators seeking to enhance their data capture skills
- Business Analysts involved in document workflow design and optimization
- Solution Architects designing solutions for data and document management
- Document Control Specialists managing document lifecycle and compliance
- Technical Support Staff providing maintenance for IBM Datacap environments
- Developers who integrate IBM Datacap with other enterprise applications
- Quality Assurance Engineers focused on automating data capture processes
- Records Managers overseeing the digitization and management of company records
- System Administrators responsible for the setup and configuration of IBM Datacap
- Project Managers leading document management system implementation projects
- Compliance Officers ensuring adherence to data capture regulatory requirements
Learning Objectives - What you will Learn in this IBM Datacap 9.0.1: FastDoc Server Mode?
Introduction to Learning Outcomes:
This IBM Datacap 9.0.1: FastDoc Server Mode course equips students with the knowledge to effectively use FastDoc in server mode, create applications, configure batch structures, and export data to IBM FileNet.
Learning Objectives and Outcomes:
- Understand the FastDoc server mode interface, including the scan task and various views such as documents, pages, fields, and workflow.
- Learn to navigate and operate the ruleset properties view and utilize fingerprints for batch processing.
- Master the process of running batches in FastDoc server mode and explore different data validation methods.
- Gain proficiency in configuring export options and integrating with IBM FileNet Content Manager for data delivery.
- Create applications using FastDoc application templates and understand the template folder structure.
- Configure batch structures by creating applications and defining the relationships between documents, pages, and fields.
- Develop skills in configuring form template rulesets for image processing, page recognition, and field data extraction.
- Define fingerprints, select zones for recognition, and perform design time testing to ensure accuracy.
- Implement keyword lookup for populating fields and configure rules for data extraction, including locating terms and values.
- Configure validate fields rulesets to ensure data quality, including setting up custom error messages, and rules for date, currency, and numeric fields.
