FileNet is the world's leading enterprise content management system. Established in 1982, FileNet practically invented the field of Enterprise Office Document Imaging Systems. FileNet's Image Services is the industry's leading provider of high-volume systems for storing, retrieving, and managing document images, transactional content, workflows, web contents, and other business objects. More than 3,700 organizations worldwide have implemented FileNet systems to provide content management services that are scalable, highly available, and provide strong disaster recovery capabilities. They have provided solutions for 81 of the Fortune 100 companies.
Unfortunately, despite an open and modular design that runs on the majority of enterprise computing platforms, FileNet's products suffer from a dearth of independently produced knowledge resources. This book has been written to fill that information void and provide wider understanding of this complex and powerful set of products to enterprise level decision makers, project managers, and technicians. In addition, the book provides general knowledge on how to use existing document imaging and/or document management systems to provide advanced knowledge management functions.
Introduction
CHAPTER 1
FileNet IMAGING OVERVIEW
What This Book is About
FileNet Company Background
Technology Overview
Toolsets vs. Out-of-the-Box Solutions
Imaging, Document Management or KM
CHAPTER 2
FileNet PRODUCTS & SERVICES
The Company Behind the Curtain
FileNet ValueNet Partners & CS&S
Professional Services
Disaster Recovery Hot Site Services
FileNet Education
CHAPTER 3
FileNet RISKS & OPPORTUNITIES
Organizational Change
The Sarbanes-Oxley Act of 2002
The Health Insurance Portability and Accountability Act of 1996 (HIPAA)
Informational Responsibilities
Optical Vs. Magnetic Storage
Centralized Vs. Decentralized Capture
Disaster Recovery
Lost Cost of Paper Retrieval
Content Management’s Impact on Attention
Intellectual Assets
Records Retention
CHAPTER 4
FileNet IMPLEMENTATION
Content Management vs. Process Voodoo
Informational Repositories
FileNet Replication Options
Specialty Equipment Considerations
Project Planning
Overall Project Estimates and TCO
CHAPTER 5
FileNet INTEGRATION
Integrating Systems, Applications and Processes
Integrating FileNet with Existing Systems
Web Integration
ERP Integration
Workflow Analysis
All Integrations Depend on Metadata
CHAPTER 6
FileNet ADMINISTRATION
Profiting From Your Organization’s Experience
FileNet Administrator Duties
UNIX Administrative Tools and Resources
Typical FileNet System Structure
Client Installation and Administration
CHAPTER 7
FileNet & KM
KM, Culture and Content
Catalyst Management for Actionable Knowledge
Shared Abstraction = Common Ground
FileNet – Improving Attention and Retention
Applying Learning to Organizational Processes
Using Workflows to Add Structure to Data
CHAPTER 8
FileNet & ERP
Enterprise Resource Planning
Document Warehouse for SAP
Client Integration
Archiving with FileNet
CHAPTER 9
FUNDING & FileNet
Projecting the Cost
Funding Strategies
Imaging Capture Center Operations
Funding Through Sarbanes-Oxley Compliance
Biography
Todd R. Groff
"I provide consulting for ERP software and related business processes. One constant my clients face is knowing what software can and cannot do. They want truth and often get spin. In this age of spin and clouded truth, Todd Groff and Thomas Jones provide a breath of fresh air. They tell the truth and speak their minds. If you want to learn to navigate through FileNet armed with their insight and wisdom, buy this new book and use it. They have years of experience navigating through the FileNet software shoals and have given us a well-marked map."
— Gregory S. Bennett, ERP Software Functional Consultant
"As a Project Manager, I appreciate not only the coverage Groff and Jones have given to each system but also how they have impressed upon the viewer the linkage between systems. This book extends learning opportunities in many ways and from top to bottom it assumes nothing. Each chapter is written to provide a general knowledge and combines data-intensive index models with scenario-based techniques."
— Sandi Owen, Business Analyst
