IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou

BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou
View Sample PDF
Author(s): Gregory Smith (Xavier University, USA) and Thilini Ariyachandra (Xavier University, USA)
Copyright: 2022
Pages: 21
Source title: Achieving Organizational Agility, Intelligence, and Resilience Through Information Systems
Source Author(s)/Editor(s): Hakikur Rahman (Ansted University Sustainability Research Institute, Malaysia)
DOI: 10.4018/978-1-7998-4799-1.ch007

Purchase

View BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou on the publisher's website for pricing and purchasing information.

Abstract

Disaster recovery management requires agile decision making and action that can be supported through business intelligence (BI) and analytics. Yet, fundamental data issues such as challenges in data quality have continued to plague disaster recovery efforts leading to delays and high costs in disaster support. This chapter presents an example of these issues from the 2005 Atlantic hurricane season, where Hurricane Katrina wreaked havoc upon the city of New Orleans forcing the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The chapter brings to light the failings in record keeping during this disaster and highlight how a simple BI application can improve the accuracy and quality of data and save costs. It also highlights the ongoing data driven issues in disaster recovery management that FEMA continues to confront and the need for integrated centralized BI and analytics solutions extending to the supply chain that FEMA needs to become more nimble and effective when dealing with disasters.

Related Content

Maria João Ferreira, Fernando Moreira, Isabel Seruca. © 2022. 38 pages.
Kamran Janamian. © 2022. 33 pages.
Hakikur Rahman. © 2022. 31 pages.
Diane Spencer-Scarr. © 2022. 34 pages.
Hakikur Rahman. © 2022. 26 pages.
Jeffrey S. Zanzig, Guillermo A. Francia, III. © 2022. 34 pages.
Gregory Smith, Thilini Ariyachandra. © 2022. 21 pages.
Body Bottom