Business Intelligence in the Bayou

2012 ◽  
pp. 29-37 ◽  
Author(s):  
Gregory Smith ◽  
Thilini Ariyachandra ◽  
Mark Frolick
Keyword(s):  
Hurricane Katrina ◽  
New Orleans ◽  
Business Intelligence ◽  
Quality Of Data ◽  
Gulf Region ◽  
Record Keeping ◽  
Significant Damage ◽  
Debris Removal ◽  
Intelligence Application

During the 2005 Atlantic hurricane season, Hurricane Katrina wreaked havoc on New Orleans. Significant damage to the Gulf region forced the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The removal and disposal of debris was not only a challenge for landfill capacity but also for the administration of drivers, trucks, and debris type. With the debris removal workforce and certified hauling vehicles changing rapidly, record keeping and fraud detection proved difficult. This paper introduces the results of a data driven manpower audit for one parish in the greater New Orleans area that consolidated records and reconciled multiple record keeping systems. The authors’ findings bring to light the failings in record keeping during this disaster and highlight how a simple business intelligence application can improve the accuracy and quality of data and save costs.

Business Intelligence in the Bayou

2010 ◽  
Vol 1 (2) ◽  
pp. 21-29 ◽  
Author(s):  
Gregory Smith ◽  
Thilini Ariyachandra ◽  
Mark Frolick
Keyword(s):  
Hurricane Katrina ◽  
New Orleans ◽  
Business Intelligence ◽  
Quality Of Data ◽  
Gulf Region ◽  
Record Keeping ◽  
Significant Damage ◽  
Debris Removal ◽  
Intelligence Application

During the 2005 Atlantic hurricane season, Hurricane Katrina wreaked havoc on New Orleans. Significant damage to the Gulf region forced the Federal Emergency Management Agency (FEMA) to begin an unprecedented cleanup effort. The removal and disposal of debris was not only a challenge for landfill capacity but also for the administration of drivers, trucks, and debris type. With the debris removal workforce and certified hauling vehicles changing rapidly, record keeping and fraud detection proved difficult. This paper introduces the results of a data driven manpower audit for one parish in the greater New Orleans area that consolidated records and reconciled multiple record keeping systems. The authors’ findings bring to light the failings in record keeping during this disaster and highlight how a simple business intelligence application can improve the accuracy and quality of data and save costs.

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

2022 ◽  
pp. 197-217
Author(s):  
Gregory Smith ◽  
Thilini Ariyachandra
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Hurricane Katrina ◽  
New Orleans ◽  
Disaster Recovery ◽  
Quality Of Data ◽  
Record Keeping ◽  
Recovery Management ◽  
The City

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.

Who Governs? How Shifts in Political Power Shape Perceptions of Local Government Services

2019 ◽  
Vol 56 (5) ◽  
pp. 1503-1528 ◽  
Author(s):  
Domingo Morel ◽  
Sally A. Nuamah
Keyword(s):  
Public Schools ◽  
Local Government ◽  
Hurricane Katrina ◽  
New Orleans ◽  
Racial Differences ◽  
Political Power ◽  
The Public ◽  
Government Services ◽  
Traditional Public Schools

What factors influence citizens’ perceptions of local government services? To answer this question, we examine citizens’ perceptions of public education in post-Katrina New Orleans. Following Hurricane Katrina, New Orleans began to transform most of its traditional public schools into charters. Although studies show that test scores have improved since the mass adoption of charters post-Katrina, surveys show that most Black citizens in New Orleans do not perceive that the New Orleans schools have improved post-Katrina. A majority of White residents, however, perceive that the schools are better post-Katrina. Relying on a survey of New Orleans residents, we argue that local shifts in political power by race help explain the racial differences in perceptions of the public schools. The study’s findings suggest that perceptions of the quality of public goods are shaped by perceptions of “who governs?”

Cleaning up New Orleans: The impact of a missing population on disaster debris removal

2009 ◽  
Vol 7 (3) ◽  
pp. 21 ◽  
Author(s):  
Timothy Cook, BA
Keyword(s):  
Public Participation ◽  
Hurricane Katrina ◽  
New Orleans ◽  
Large Scale ◽  
Removal Process ◽  
Debris Removal ◽  
Rebuilding Effort ◽  
Disaster Debris ◽  
The Impact

Public participation in a disaster debris removal process is an important component to any large-scale rebuilding effort. How, then, does such an effort progress when nearly two-thirds of the affected community’s population does not come back to participate? The City of New Orleans faced just such a situation after Hurricane Katrina and the catastrophic flooding that followed. The debris removal task is the largest in US history, and very few residents returned to participate in the cleanup. This article provides a further understanding of the impact that New Orleans’ missing population had on the city’s cleanup process. This article asserts that without this city’s residents (or first filters), the enormous debris removal effort in New Orleans was further slowed and complicated. The first two sections provide background and context, identifying the size and scope of the disaster, the low residential return rate, and the role of public participation in previous large-scale debris removal efforts. The next three sections focus on the disaster debris itself, identifying specific ways in which the missing population further complicated New Orleans’ cleanup efforts with regard to (a) the duration of the debris removal process, (b) the volume of debris, and (c) the contamination of debris.The final section considers various measures that emergency planners and managers can take to facilitate “participatory repopulation,” thus mitigating the complications of a missing population.

scholarly journals Decision making in the context of business intelligence and data quality

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
L. Marshall ◽  
R. De la Harpe
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Information Quality ◽  
Poor Quality ◽  
Quality Of Data ◽  
Literature Study ◽  
Business Confidence ◽  
The Right

[email protected] Making decisions in a business intelligence (BI) environment can become extremely challenging and sometimes even impossible if the data on which the decisions are based are of poor quality. It is only possible to utilise data effectively when it is accurate, up-to-date, complete and available when needed. The BI decision makers and users are in the best position to determine the quality of the data available to them. It is important to ask the right questions of them; therefore the issues of information quality in the BI environment were established through a literature study. Information-related problems may cause supplier relationships to deteriorate, reduce internal productivity and the business' confidence in IT. Ultimately it can have implications for an organisation's ability to perform and remain competitive. The purpose of this article is aimed at identifying the underlying factors that prevent information from being easily and effectively utilised and understanding how these factors can influence the decision-making process, particularly within a BI environment. An exploratory investigation was conducted at a large retail organisation in South Africa to collect empirical data from BI users through unstructured interviews. Some of the main findings indicate specific causes that impact the decisions of BI users, including accuracy, inconsistency, understandability and availability of information. Key performance measures that are directly impacted by the quality of data on decision-making include waste, availability, sales and supplier fulfilment. The time spent on investigating and resolving data quality issues has a major impact on productivity. The importance of documentation was highlighted as an important issue that requires further investigation. The initial results indicate the value of

scholarly journals Opportunities and Benefits Implementation Business Intelligence Application on Health Center

2015 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Hady Pranoto
Keyword(s):  
Operating System ◽  
Health Services ◽  
Health Center ◽  
Business Intelligence ◽  
Health Centers ◽  
Public And Private ◽  
System A ◽  
Computerized System ◽  
Intelligence Application

The health center has the task of providing health services to the community, to be able to win the competition among the existing health centers; a health center should have a good operating system, a computerized operating system to improve services in the field of administration. However, providing a computerized system is not enough, many other health centers or competitors also use a computerized system. Unfortunately, health centers in Indonesia have not yet implemented business intelligence application. There are many public and private health centers do not apply automated operational system. A study of the literature is conducted to find evidence of the application of BI, and any sector of the BI can be applied. Many sectors in health services where BI can be applied to improve the productivity quality of service and competitiveness in this era of globalization.

Chemical Quality of Depositional Sediments and Associated Soils in New Orleans and the Louisiana Peninsula Following Hurricane Katrina

2007 ◽  
Vol 41 (10) ◽  
pp. 3437-3443 ◽  
Author(s):  
Craig Adams ◽  
Emitt C. Witt ◽  
Jianmin Wang ◽  
David K. Shaver ◽  
David Summers ◽  
...  
Keyword(s):  
Hurricane Katrina ◽  
New Orleans ◽  
Chemical Quality

Electronic medical record (EMR) in the oncology setting tested: A first hand experience

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 16043-16043
Author(s):  
E. L. Hesita
Keyword(s):  
Hurricane Katrina ◽  
New Orleans ◽  
Cancer Patients ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Records ◽  
Current Data ◽  
Random Group ◽  
Record Keeping ◽  
Validated Questionnaire

16043 Background: Current data indicate that America’s medical system has been slow to embrace technology in relation to the use of the electronic medical record (EMR). The disruption caused by hurricane Katrina in the lives of cancer patients living in the city of New Orleans may prove to be an eye-opening experience that will persuade healthcare providers to change the traditional way of storing medical records. This study focuses on the experience of displaced New Orleans cancer patients. Methods: An anonymous validated questionnaire was completed by a random group of returning patients six weeks after the hurricane. This random group of patients evacuated to various states across the country. The focal questions asked were: the degree of difficulty in obtaining records, whether the alternate oncologist had to order further test(s), and whether the patients agree to having their medical records in an electronic format. Results: Of the total of 75 respondents, 93% are served by an institution in the New Orleans area that utilizes EMR while 7% are served by various institutions within the New Orleans area that do not have EMR. Overall, 81% stated ease in obtaining their records (within 1–4 days) while 19% stated difficulty (7 days or greater). Only 3% of the patients with EMR indicated difficulty while 100% of the non-EMR patients stated difficulty. For patients with EMR, 83% of the alternate oncologists did not order further tests, while 100% of the alternate oncologists ordered further testing for patients without EMR. In terms of patients’ sentiments regarding EMR, 76% agree to have EMR while 24% disagree. Conclusions: EMR in the oncology setting may prove to be an essential component in the delivery of quality patient care in terms of safety, cost effectiveness, and preservation of privacy. The majority of the patients surveyed agree to a form of electronic record-keeping based on their first-hand experience. No significant financial relationships to disclose.

Methods to Monitor and Improve the Performance of Specimen Holders for Transmission Electron Cryomicroscopy

1996 ◽  
Vol 54 ◽  
pp. 454-455
Author(s):  
B. L. Armbruster ◽  
B. Kraus ◽  
M. Pan
Keyword(s):  
Electron Microscopy ◽  
Electron Beam ◽  
Electron Beam Irradiation ◽  
Beam Irradiation ◽  
Quality Of Data ◽  
Electron Cryomicroscopy ◽  
Thermal Equilibration ◽  
Transmission Electron ◽  
Electron Microscopes

One goal in electron microscopy of biological specimens is to improve the quality of data to equal the resolution capabilities of modem transmission electron microscopes. Radiation damage and beam- induced movement caused by charging of the sample, low image contrast at high resolution, and sensitivity to external vibration and drift in side entry specimen holders limit the effective resolution one can achieve. Several methods have been developed to address these limitations: cryomethods are widely employed to preserve and stabilize specimens against some of the adverse effects of the vacuum and electron beam irradiation, spot-scan imaging reduces charging and associated beam-induced movement, and energy-filtered imaging removes the “fog” caused by inelastic scattering of electrons which is particularly pronounced in thick specimens.Although most cryoholders can easily achieve a 3.4Å resolution specification, information perpendicular to the goniometer axis may be degraded due to vibration. Absolute drift after mechanical and thermal equilibration as well as drift after movement of a holder may cause loss of resolution in any direction.

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