A business intelligence framework for business performance using data mining techniques

Atkinson, Martin; Lakshmi, T. Miranda; Venkatesan, V. Prasanna

doi:10.1109/incoset.2012.6513936

Cited by 13 publications

(9 citation statements)

References 33 publications

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“…However, Gartner's framework requires enhancement particularly in the perspective of managing performance in public sector and comprehensive BIAPM implementation. Besides GBAF, there are few more studies which relate to BIAPM and they can be identified as Pourshahid et al [38], Cosic et al [25], Martin et al [22] and Wu [23]. Martin et al and Wu considered two fields integrated which are BI and BA without integrating with OPM, while Pourshahid et al and Cosic considered BIA but without comprehensive implementation with OPM.…”

Section: Discussionmentioning

confidence: 99%

The Implementation of Business Intelligence and Analytics Integration for Organizational Performance Management: A Case Study in Public Sector

Yahaya¹,

Abai²,

Deraman³

et al. 2019

IJACSA

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Literature study shows that several works have been conducted on the implementation of BI in performance management, but the analytical aspects were not being considered. Business analytics is an activity of applying analytics to strengthen strategic and operational business activities. While performance management is important to determine organisational success and in public sector, it has become more challenging due to generality of public sector objectives and different level of stakeholders involved. Existing frameworks were built separately and this limits the implementation of Business Intelligence and Analytics as an integrated component, and could not meet the current performance management needs and expectations. The objective of this study is to establish a framework that integrates elements of business intelligence, analytics and performance management for the comprehensive implementation in public sector. This study identifies four main components of this integrated framework: Process, People, Governance and Ability. Each component consists of several key elements and sub-elements. The proposed framework is validated and implemented by real case study conducted in one organisation in Malaysia. The implementation demonstrates the suitability and practicality of this framework to be implemented in real environment.

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Section: Discussionmentioning

confidence: 99%

The Implementation of Business Intelligence and Analytics Integration for Organizational Performance Management: A Case Study in Public Sector

Yahaya¹,

Abai²,

Deraman³

et al. 2019

IJACSA

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%

“…Currently, there is a high demand for advanced data management technology that can systematically manipulate data and at the same time solve data integration and management issues [4]. However, contemporary BI implementation is still lacking analytics practice [5]. This is because, most organization technically implement BI and analytics separately in managing their performance [6], thereby decreases the effectiveness level of BI implementation, especially in formulating strategy and improvement of overall organizational performance [3].…”

Section: Introductionmentioning

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.

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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.

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“…Based on this buying pattern, certain items can be placed on offer on discount to attract customers of a particular buying habit to buy a particular item which he was not used to buying. It is possible to generate association rules using only input item set rather than all items contained in the transactional database, so In business intelligence [9] [10], data of organizations is transformed into information to extract knowledge for effective decision making. Some recent research works on association rules are presented in [11] [12] [13].…”

Section: Introductionmentioning

confidence: 99%

Data Mining Framework for Generating Sales Decision Making Information Using Association Rules

Humayun

2016

ijacsa

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Abstract-The rapid technological development in the field of information and communication technology (ICT) has enabled the databases of super shops to be organized under a countrywide sales decision making network to develop intelligent business systems by generating enriched business policies. This paper presents a data mining framework for generating sales decision making information from sales data using association rules generated from valid user input item set with respect to the sales data under analysis. The proposed framework includes super shop's raw database storing sales data collected through sales application systems at different Point of Sale (POS) terminals. Apriori algorithm is famous for association rule discovery from the transactional database. The proposed technique using customized association rule generation and analysis checks the input items with sales data for validation of the input items. The support and confidence of each rule are computed. Sales decision making information about input items is generated by analyzing each of the generated association rules, which can be used to improve sales decision making policy to attract customers in order to increase sales. It is hoped that this approach for generating sales decision making information by analyzing sales data using association rules is more specific decision and application oriented as the business decision makers are not usually interested to all of the items of the sales database for making a specific sales decision.

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A business intelligence framework for business performance using data mining techniques

Cited by 13 publications

References 33 publications

The Implementation of Business Intelligence and Analytics Integration for Organizational Performance Management: A Case Study in Public Sector

The Implementation of Business Intelligence and Analytics Integration for Organizational Performance Management: A Case Study in Public Sector

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

Data Mining Framework for Generating Sales Decision Making Information Using Association Rules

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