scholarly journals Key success factors to business intelligence solution implementation

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
José Manuel Villamarín García ◽  
Beatriz Helena Díaz Pinzón
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Business Intelligence ◽  
Success Factors ◽  
Organizational Outcomes ◽  
Decision Making Process ◽  
Research Results ◽  
Key Success Factors ◽  
Review Analysis ◽  
Improve Planning

Business intelligence (BI) solutions have been adopted within organizations as amean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search wasconducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contributeto improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects.

scholarly journals Measuring Success Factors for Business Intelligence: Management Perspective

2020 ◽  
Vol 9 (6) ◽  
pp. 31-34
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
User Satisfaction ◽  
Success Factors ◽  
Decision Making Process ◽  
Success Factor ◽  
Direct Impact ◽  
Factors Influencing ◽  
Management Perspective ◽  
User Access

This study is to provide a better understanding of factors influencing the success of business intelligence in e-commerce for making better decisions. We proposed the new model for success factor of BI in the decision-making process where there are six factors that have the direct impact on BI achievement on decision-making process. These six factors are user access, integration with other systems, data quality, leadership commitment, analytical-decision making culture, flexibility, and user satisfaction. In Indonesia, BI implementation still not optimal yet. However, many e-commerce companies try to implement BI without knowing to utilize maximally. Therefore, with a model we are expecting to help the practitioners in order to evaluate BI tools especially on increasing decision-making quality.

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.

Risks Evaluation and IT Audit Aspects of Business Intelligence Solutions

2010 ◽  
pp. 17-40
Author(s):  
Andrea Ko
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Information Systems ◽  
Business Intelligence ◽  
Decision Making Process ◽  
Future Trends ◽  
Security Risks ◽  
Business Intelligence Systems ◽  
Audit Approach ◽  
It Audit

Many organizations are struggling with a vast amount of data in order to gain valuable insights and get support in their decision-making process. Decision-making quality depends increasingly on information and the systems that deliver this information. These services are vulnerable and risky from security aspects, and they have to satisfy several requirements, like transparency, availability, accessibility, convenience, and compliance. IT environments are more and more complex and fragmented, which means additional security risks. Business intelligence solutions provide assistance in these complex business situations. Their main goal is to assist organizations to make better decisions. Better decisions means that these solutions support the management of risks, and they have a key role in raising revenue and in reducing cost. The objectives of this chapter are to give an overview of the business intelligence field and its future trends, to demonstrate the most important business intelligence solutions, meanwhile highlighting their risks, business continuity challenges, and IT audit issues. In spite of the fact that this chapter focuses on the business intelligence solutions and their specialities, risk management and the related IT audit approach can be applied for other categories of information systems. IT audit guidelines, best practices, and standards are presented as well, because they give effective tools in controlling process of business intelligence systems.

Pervasive Business Intelligence Platform to Support the Decision-Making Process in Waiting Lists

2021 ◽  
pp. 848-863
Author(s):  
Marisa Esteves ◽  
Filipe Miranda ◽  
António Abelha
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Intelligence ◽  
Waiting Times ◽  
Waiting Lists ◽  
Decision Making Process ◽  
The North ◽  
Health Institutions ◽  
Private Network ◽  
The Web

In recent years, the increase of average waiting times in waiting lists is an issue that has been felt in health institutions. Thus, the implementation of new administrative measures to improve the management of these organizations may be required. Hereupon, the aim of this present work is to support the decision-making process in appointments and surgeries waiting lists in a hospital located in the north of Portugal, through a pervasive Business Intelligence platform that can be accessed anywhere and anytime by any device connected within the hospital's private network. By representing information that facilitate the analysis of information and knowledge extraction, the Web tool allows the identification in real-time of average waiting times outside the outlined patterns. Thereby, the developed platform permits their identification, enabling their further understanding in order to take the necessary measures. Thus, the main purpose is to enable the reduction of average waiting times through the analysis of information in order to, subsequently, ensure the satisfaction of patients.

Decision-Making Process on Sustainability: A Systematic Literature Review

2021 ◽  
pp. 225-236
Author(s):  
Renata Amaral Fonseca ◽  
Antônio Márcio Tavares Thomé ◽  
Bruno Milanez
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Decision Making Process

A Model of Sales and Operations Planning: Example of Parameters Used and Decision-Making Process in a Japanese Industry

2020 ◽  
Vol 49 ◽  
pp. 181-186
Author(s):  
Hamza Samouche ◽  
Abdellah El Barkany ◽  
Ahmed El Khalfi
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Business Management ◽  
Operational Performance ◽  
Decision Making Process ◽  
Theoretical Studies ◽  
Operations Planning ◽  
Japanese Industry ◽  
Corrective Actions ◽  
The Impact

Many companies are facing a constant need to develop coordination between operational functions to quickly respond to customer requests. Thus, many practitioners are resorting to an established and integrated business management methodology, the Sales and Operations Planning (S&OP). The impact of the S&OP on operational performance was significantly demonstrated in many studies. However, it turns out that the theoretical studies made differ from what is actually applied, in addition to several parameters that are considered in the calculations especially with regard to Japanese industries. So, how is S&OP operated in this industry? What are the different calculation parameters used? and how are the results obtained and analyzed?In this paper, we will first present a short literature review of S&OP and its role and benefits. Then, we present a model of S&OP used in a wire harnesses Japanese industry. The goal is to show first a concrete example, where we present the various parameters considered in the calculations, and then we will explain how the resulting graphs are analyzed by managers and what could be done as corrective actions in case of gap existing.

scholarly journals Critical Success Factors for the Adoption of Decision Tools in IPM

Agronomy ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 710 ◽  
Author(s):  
Rossi ◽  
Sperandio ◽  
Caffi ◽  
Simonetto ◽  
Gilioli
Keyword(s):  
Decision Making ◽  
Pest Management ◽  
Environmental Sustainability ◽  
Critical Success Factors ◽  
Success Factors ◽  
Plant Protection ◽  
Crop Protection ◽  
Decision Making Process ◽  
Decision Tools ◽  
Critical Success

The rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of complexity of the decision processes linked to IPM requires careful evaluations, both economic and environmental, considering benefits and costs associated with a management action. Plant protection models and other decision tools (DTs) have assumed a key role in supporting decision-making process in pest management. The advantages of using DTs in IPM are linked to their capacity to process and analyze complex information and to provide outputs supporting the decision-making process. Nowadays, several DTs have been developed, tackling different issues, and have been applied in different climatic conditions and agricultural contexts. However, their use in crop management is restricted to only certain areas and/or to a limited group of users. In this paper, we review the current state-of-the-art related to DTs for IPM, investigate the main modelling approaches used, and the different fields of application. We also identify key drivers influencing their adoption and provide a set of critical success factors to guide the development and facilitate the adoption of DTs in crop protection.

scholarly journals Needs-based decision-making for municipal health promotion – an analysis across 13 European countries

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Quilling ◽  
M Kuchler ◽  
J Leimann ◽  
S Dieterich ◽  
C Plantz
Keyword(s):  
Decision Making ◽  
Health Promotion ◽  
Success Factors ◽  
European Countries ◽  
Decision Making Process ◽  
Successful Implementation ◽  
Local Health ◽  
Healthy Living ◽  
Living Environments ◽  
Municipal Health

Abstract Introduction In contradiction to many recommendations, municipal health promotion often does not address identified needs. In order to create healthy living environments, all the 13 countries participating in Work package 6 - healthy living environments (WP6) of the EU Joint Action Health Equity Europe have been implementing feasible actions since autumn 2019 based on a country-specific needs analysis. They were supported on a theoretical level by the contents of the WP6 Implementation Template. The aim is to find out if and how the decision-making process from needs-based planning to the implementation of these measures in municipal health promotion was successful. Methods In order to gain an insight into the process 'from needs to action' and to obtain information about the methodological approach to implementation, guideline-based interviews were conducted with the project partners of WP6. These, as well as accompanying questionnaire-based interim reports, were evaluated comparatively in terms of content analysis according to Mayring and with regard to concrete evaluation criteria, obstacles and success factors during individual steps that can be transferred to the Public Health Action Cycle. Results The interim reports of the participating countries show that the step from an identified problem and related needs to a concrete, tailored action is often difficult. The relevant aspects mentioned above will be analysed more detailed during the interviews. It is to be expected that further insights can be gained from this, especially on successful implementation processes. Conclusions The mix of reports and interviews with participants from different European countries offers a broad view of the decision-making process in local health promotion and makes obstacles and success factors transparent for other actors in this field.

An Investigation of BI Implementation Critical Success Factors in Iranian Context

2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Domain Experts ◽  
Critical Success ◽  
Decision Making Processes ◽  
Iranian Context

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

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