Since its birth in the late 1970s, the business recovery industry has continued to broaden, moving from original batch application processing on mainframes to include recovery for telecommunications connectivity, distributed processing on mid-range systems, and most recently, network and work area recovery. Whenever accidents, disasters and natural events interrupt business activities, one thing is certain: businesses lose money. How much money often depends on how prepared companies are for dealing with business interruptions.
A Primer for Disaster Recovery Planning in an IT Environment is intended to help businesses plan for an occurrence that could mean a business stoppage. It helps you to evaluate your business in terms of vulnerability to disaster and guides you through the process of creating a disaster recovery plan.
About the Author:
Dr. Charlotte J. Hiatt has been a professor at California State University, Fresno since 1984. She has been consistently recognized for her outstanding teaching. While pursuing post-doctoral work at the University of Minnesota during the summer of 1985, she developed an interest in disaster recovery planning for information systems. Since then she has been conducting research, making presentations and publishing papers in this area. The intent of this book is to provide a foundation for anyone interested in understanding the basic principles, terminology and strategies of disaster recovery planning. The material presented includes a comprehensive accumulation of sample documents and the synthesis of broadly dispersed disaster recovery related information.
Overview
Since its birth in the late 1970s, the business recovery industry has continued to broaden, moving from original batch application processing on mainframes to include recovery for telecommunications connectivity, distributed processing on mid-range systems, and most recently, network and work area recovery. Whenever accidents, disasters and natural events interrupt business activities, one thing is certain: businesses lose money. How much money often depends on how prepared ...