scholarly journals Real-time business intelligence system architecture with stream mining

2010 ◽  
Author(s):  
Yang Hang ◽  
Simon Fong
Keyword(s):  
Real Time ◽  
Business Intelligence ◽  
System Architecture ◽  
Stream Mining ◽  
Intelligence System

scholarly journals Management of Emergency Services in Lombardy during COVID-19 epidemic using Business Intelligence

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G M Sechi ◽  
M Migliori ◽  
G Dassi ◽  
A Pagliosa ◽  
R Bonora ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Real Time ◽  
Business Intelligence ◽  
First Aid ◽  
Time Data ◽  
Lombardy Region ◽  
Daily Number ◽  
Intelligence System ◽  
Emergency Medical ◽  
Real Time Data

Abstract Background In Italy on the 20th of February, the first Italian patient was tested positive for Coronavirus Disease 2019 (COVID-19) in the Lombardy region. The Regional Emergency Medical Services (EMS) Trust (Azienda Regionale Emergenza Urgenza, AREU) of the Lombardy region decided to apply a Business Intelligence (BI) System to take timely decisions on the management of EMS and to monitor the spread of the disease in the region in order to better respond to the outbreak. Methods Since the beginning of the COVID-19 outbreak, AREU developed a BI System to track the daily number of first aid requests received from 1.1.2. (Public Safety Answering Point 1). BI evaluates the number of requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview. Moreover, BI analyses the pattern of the epidemic, identifying the numerical trend of episodes in each municipality (increasing, stable, decreasing). Currently, AREU is still implementing the BI as the epidemic is still ongoing. Results In the Lombardy region on the 20th of February the number of the first aid requests for respiratory and/or infectious episodes were 314. This figure increased sharply during the month of February and March reaching its peak on the 16th of March with 1537 episodes. In the area around Bergamo, this number experienced a greater rise compared to the rest of the Lombardy territory, going from 74 episodes on the 20th of February to 694 on the 13th of March. Therefore, AREU decided to reallocate in the territory the resources (ambulances and human resources) based on the real-time data elaborated by the BI system. Conclusions The BI System has been of paramount importance in taking timely decisions on the management of EMS during the COVID-19 outbreak in the Lombardy region. Indeed, BI can be usefully applied to promptly identify the trend of the COVID-19 epidemic and, consequently, make informed decisions to improve the response to the outbreak. Key messages The Emergency Medical Services Trust of the Lombardy region applied a Business Intelligence System to promptly respond to the outbreak of COVID-19 and reallocate the resources based on real-time data. AREU used a Business Intelligence System to track the daily number of first aid requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview.

Retreading Tire Management with Business Intelligence

2012 ◽  
Vol 3 (4) ◽  
pp. 54-73
Author(s):  
Scott Collier ◽  
Dana Edberg ◽  
David Croasdell
Keyword(s):  
Real Time ◽  
Business Intelligence ◽  
Historical Data ◽  
Mining Industry ◽  
Application Domain ◽  
Deep Knowledge ◽  
Intelligence System ◽  
Mining Companies ◽  
Heavy Equipment ◽  
Manufactured Products

Justifying the development of a business intelligence system is challenging when the primary beneficiaries of the system are internal to the company responsible for that development; it is even harder to justify when the system is designed to produce a new service that is radically different than current in-house manufactured products. This case explores the possibility of a tire manufacturer developing a business intelligence system to help their customers manage very large heavy equipment tires within the mining industry. These tires are one of the biggest expenses for mining companies and this case discusses the opportunity to use business intelligence to manage that expense. This case encourages discussion of such topics as: the issues involved in system initiation from technology personnel, the need to incorporate both real-time and historical data in a system, the need for technology personnel to have deep knowledge of an application domain, and the challenges that arise from integrating data produced by disparate systems.

Implementation System of Business Intelligence System In The Company

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Abdul Hamid Arribathi ◽  
Maimunah Maimunah ◽  
Devi Nurfitriani
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Research Library ◽  
Decision Making Process ◽  
Intelligence System ◽  
Business Intelligence Systems

This study aims to determine the stages that must be implemented in building a Business Intelligence System structured and appropriate in building Business Intelligence Systems in an organization, and understand the important aspects that must be considered for investment development Business Intelligence System is increasing. Business must be based on the conditions and needs of the organization in achieving the desired goals. If these conditions occur, then the decision-making process will be better and more accurate. The purpose of this study is to determine the important aspects that must be understood and prepared in using the Business Intelligence System in an organization. The method used is the explanation as well as the research library of several books, articles and other literature.

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