Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

2015 ◽  
Vol 11 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Intelligence ◽  
Two Phase ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Managerial Implications ◽  
Decision Making Processes

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

2020 ◽  
pp. 382-402
Author(s):  
Lapo Mola ◽  
Cecilia Rossignoli ◽  
Andrea Carugati ◽  
Antonio Giangreco
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Business Intelligence ◽  
Two Phase ◽  
Intelligence System ◽  
Business Intelligence Systems ◽  
Managerial Implications ◽  
Decision Making Processes

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

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.

Tailorable Technologies for Improving Business Intelligence Systems

2021 ◽  
pp. 560-575
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

Tailorable Technologies for Improving Business Intelligence Systems

2019 ◽  
pp. 238-253
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

Tailorable Technologies for Improving Business Intelligence Systems

2021 ◽  
pp. 814-829
Author(s):  
Shah J. Miah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Cost Effective ◽  
Business Owners ◽  
Business Intelligence Systems ◽  
Effective Operation

The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.

scholarly journals Business Intelligence Systems in the Holistic Infrastructure Development Supporting Decision Making in Organisations

10.28945/3011 ◽  
2006 ◽  
Author(s):  
Celina Olszak ◽  
Ewa Ziemba
Keyword(s):  
Decision Making ◽  
Customer Service ◽  
Business Intelligence ◽  
Information Technologies ◽  
Information Sources ◽  
Business Practice ◽  
Decision Making Process ◽  
Infrastructure Development ◽  
Business Intelligence Systems

The paper aims at analysing Business Intelligence Systems (BI) in the context of opportunities for improving decision-making in a contemporary organisation. The authors - taking specifics of a decision-making process together with heterogeneity and dispersion of information sources into consideration - present Business Intelligence Systems as some holistic infrastructure of decisionmaking. It has been shown that the BI concept may contribute towards improving quality of decision-making in any organisation, better customer service and some increase in customers’ loyalty. The paper is focused on three fundamental components of the BI systems, i.e. key information technologies (including ETL tools and data warehouses), potential of key information technologies (OLAP techniques and data mining) and BI applications that support making different decisions in an organisation. A major part of the paper is devoted to discussing basic business analyses that are not only offered by the BI systems but also applied frequently in business practice.

scholarly journals BUSINESS INTELLIGENCE SYSTEMS SUPPORTING SUSTAINABILITY ON FIRM’S DECISION-MAKING PROCESSES AND PERFORMANCE

2021 ◽  
Vol 8 (1) ◽  
pp. 64-75
Author(s):  
Nathaniel Ozigbo ◽  
Keyword(s):  
Decision Making ◽  
Firm Performance ◽  
Business Intelligence ◽  
Business Environment ◽  
Partial Least Square ◽  
Theory And Practice ◽  
Business Intelligence Systems ◽  
Decision Making Processes ◽  
And Performance ◽  
The Impact

In today’s competitive business environment, there exist the need to investigate the adequacy of infrastructural flexibility for Business Intelligence Systems to support Sustainability on Firm’s Decision-making processes and performance. The Business Intelligence Systems consist of unique functions that are intrinsic aimed at supporting better quality decision-making within the organization. It is critical to the smooth operations of every organization. The intention of this study is not to discuss the technical details of implementing Business Intelligence Systems but to explore how to gain maximum benefits from the applications and usage of Business Intelligence Systems. An intensive literature review that highlighted the impact of Business Intelligence on firm performance and decision-making processes were initiated. The focus was on how to apply the Business Intelligence Systems to gain competitive advantage and to create more value from information by aligning it with the needs of employees who are engaged in complex business decision-making in today’s business environment. The study contributed in both academic and industrial operations by providing first time evidence of Business Intelligence solutions with particular reference to Nigerian firms located in Lagos State, Nigeria. The study employed the partial least square analysis with a sample size of 985 respondents randomly selected from five manufacturing companies. The findings suggested that the more effective use of Business Intelligence implementation, the more effective the decision-making processes and firm performance. The study offers a number of implications for theory and practice, noting that Business Intelligence System is in effect allowing firms to shift their structure to more carefully and thoughtfully align with the needs of customers and partners.

scholarly journals GERANDO INTELIGÊNCIA ATRAVÉS DE MICRODADOS: UMA PROPOSTA DE BUSINESS INTELLIGENCE PARA A ÁREA DE ENSINO DO INSTITUTO FEDERAL DA BAHIA (IFBA)

2020 ◽  
Vol 13 (4) ◽  
pp. 463
Author(s):  
Iara Margarida de Souza Barreto ◽  
Allan Edgard Silva Freitas
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Academic Life ◽  
Educational Institutions ◽  
Strategic Decisions ◽  
Business Intelligence Systems ◽  
Technology Market ◽  
Educational Indicators ◽  
Support Decision Making

Educational indicators are instruments of significant importance for assessing the outcomes and quality of educational institutions. In order to provide information for strategic decisions, Business Intelligence systems are gaining more and more space in the Information Technology market. This article intends to identify the main educational indicators and their various approaches, in order to evaluate their contributions and/or inadequacies to the pedagogical management of the Instituto Federal da Bahia, besides addressing the Business Intelligence theme, identifying their origin, concepts and applicability. In conclusion, it was presented a proposal to develop a BI system to generate intelligence through microdata extracted from IFBA's academic and administrative systems and, finally, to produce strategic indicators to support decision making regarding students' academic life.

Data Profiling and Data Quality Metric Measurement as a Proactive Input into the Operation of Business Intelligence Systems

2014 ◽  
pp. 253-270
Author(s):  
Scott Delaney
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Intelligence System ◽  
Use Of Data ◽  
Data Profiling ◽  
Business Intelligence Systems ◽  
Profiling Techniques ◽  
System Data ◽  
Taking Action

Business intelligence systems have reached business critical status within many companies. It is not uncommon for such systems to be central to the decision-making effectiveness of these enterprises. However, the processes used to load data into these systems often do not exhibit a level of robustness in line with their criticality to the organisation. The processes of loading business intelligence systems with data are subject to compromised execution, delays, or failures as a result of changes in the source system data. These ETL processes are not designed to recognise nor deal with such shifts in data shape. This chapter proposes the use of data profiling techniques as a means of early discovery of issues and changes within the source system data and examines how this knowledge can be applied to guard against reductions in the decision making capability and effectiveness of an organisation caused by interruptions to business intelligence system availability or compromised data quality. It does so by examining issues such as where profiling can be best be applied to get appropriate benefit and value, the techniques of establishing profiling, and the types of actions that may be taken once the results of profiling are available. The chapter describes components able to be drawn together to provide a system of control that can be applied around a business intelligence system to enhance the quality of organisational decision making through monitoring the characteristics of arriving data and taking action when values are materially different than those expected.

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