Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework

Wu, Jui-Yu

doi:10.1109/iccnt.2010.23

Cited by 21 publications

(10 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BI, by tapping into multiple databases within a firm, offers management a more effective decision-making tool; data from the company operational databases that is fed into strategic decisions (Horakova & Skalska, 2013). BI tools allow management better access to data, resulting in better decision making (Wu, 2010). One of the essential goals of any enterprise is effective decision-making.…”

Section: Erp Systems and Business Intelligence (Bi)mentioning

confidence: 99%

Company performance improvement by quality based intelligent-ERP

Jenab¹,

Staub²,

Moslehpour³

et al. 2019

10.5267/j.dsl

View full text Add to dashboard Cite

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers' decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP.

show abstract

Section: Erp Systems and Business Intelligence (Bi)mentioning

confidence: 99%

Company performance improvement by quality based intelligent-ERP

Jenab¹,

Staub²,

Moslehpour³

et al. 2019

10.5267/j.dsl

View full text Add to dashboard Cite

show abstract

“…Also, other studies also considered identifying BI, BA and OPM elements and thus proposed frameworks for BI implementation [36], [37], while [38] proposed the framework of enterprise resource planning and business intelligence systems used for organizational performance. Other studies recommended the implementation framework of BI by focusing on the application of data mining techniques [5], [39]. While, a study by [2], [40], [41] investigated the BI and business analytics integration.…”

Section: Business Intelligence and Analytics Modelsmentioning

confidence: 99%

Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study

Abai

Yahaya

Deraman

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Business intelligence and analytics (BIA) is emerging as a critical area to boost organizational performance. Nowadays, data is not only important and valuable to the organization but recognized as necessary to spike the organization performance and success. As a result, many organizations spend a considerable amount of investment toward obtaining faster accurate information on a real-time basis. The previous study revealed that even though many organizations use business intelligence technologies for obtaining information, yet they still lack analytics implementation. Therefore, this study aims to discover the integrated implementation factors of business intelligence and analytics in managing organizational performance, particularly for organizations of the public sector. In achieving this, a depth literature review was carried out to identify the influential factors in the implementation of business intelligence, business analytics, and performance management. The subject matter experts in Business Intelligence (BI), Business Analytics (BA) and Organisational Performance Management (OPM) were invited to participate in this empirical study, which was conducted in Malaysia. The study was carried out through interviewing experts, in order to identify the essential factors for business intelligence and data analytics implementation. Twenty essential factors and sixty-four sub-factors were identified and analyzed to construct the integrated factors in BIA and OPM implementation. The result of the study revealed four integrated factors of the BIA and OPM implementation, such as skill, documentation, visualization, and work culture. Finance, data management, software, strategic planning, and decision-making are other factors integrated with BI, BA, and OPM respectively. Finally, this study illustrates the integrated factors in a visual form.

show abstract

“…The system collects the data from different sources and organizes the collections as a data warehouse for the decision-making purpose. Wu (2010) suggested employing some modern computational intelligence in BI systems to make them smart enough to solve optimization problems such as forecasting, clustering, etc., though no real application examples were given. Some colleagues also conducted researches on real-time BI, real-time BI frameworks and mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Achieving Decision Agility via Better Data Integration and Visualization – A Practitioners’ View

Cao¹,

Yan²

2013

EMR

View full text Add to dashboard Cite

In this paper we report a case study indicating how important it is to capture real-time data and present it effectively to the management for better decision-making and achieving decision agility. A GIS-based system or platform is presented, which is able to integrate data from various sources and present required data in real-time fashion to assist decision-making process. In combination with GIS techniques the data can be presented vividly that enables the user to understand the contents and trends of the data more effectively. With real-time data, KPI reports, and analytical functionality provided by the platform the management is able to make more reasonable business decisions to accommodate the challenging and demands from the market, and execute the decisions efficiently.

show abstract

Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework

Cited by 21 publications

References 24 publications

Company performance improvement by quality based intelligent-ERP

Company performance improvement by quality based intelligent-ERP

Integrating Business Intelligence and Analytics in Managing Public Sector Performance: An Empirical Study

Achieving Decision Agility via Better Data Integration and Visualization – A Practitioners’ View

Contact Info

Product

Resources

About