An integrated framework of business intelligence and analytic with performance management system: A conceptual framework

Abai, Nur Hani Zulkifli; Yahaya, Jamaiah; Deraman, Aziz

doi:10.1109/sai.2015.7237181

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…Therefore, this study analysed the supporting methods and tools in performance measurement. Although the gap between IT and management may increase with this implementation, it is crucial to bridge the gap between a performance management system, business intelligence, and analytics, which must be integrated with each other [34]. The data warehouse (DWH) is a key element of a BI system, supporting data integration, storage, processing, analysis, and reporting [22].…”

Section: Performance Measurementmentioning

confidence: 99%

Data Model Design to Support Data-Driven IT Governance Implementation

Biagi

Russo²

2022

Technologies

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Organizations must quickly adapt their processes to understand the dynamic nature of modern business environments. As highlighted in the literature, centralized governance supports decision-making and performance measurement processes in technology companies. For this reason, a reliable decision-making system with an integrated data model that enables the rapid collection and transformation of data stored in heterogeneous and different sources is needed. Therefore, this paper proposes the design of a data model to implement data-driven governance through a literature review of adopted approaches. The lack of a standardized procedure and a disconnection between theoretical frameworks and practical application has emerged. This paper documented the suggested approach following these steps: (i) mapping of monitoring requirements to the data structure, (ii) documentation of ER diagram design, and (iii) reporting dashboards used for monitoring and reporting. The paper helped fill the gaps highlighted in the literature by supporting the design and development of a DWH data model coupled with a BI system. The application prototype shows benefits for top management, particularly those responsible for governance and operations, especially for risk monitoring, audit compliance, communication, knowledge sharing on strategic areas of the company, and identification and implementation of performance improvements and optimizations.

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Section: Performance Measurementmentioning

confidence: 99%

Data Model Design to Support Data-Driven IT Governance Implementation

Biagi

Russo²

2022

Technologies

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“…According to Abai et al [44] BI&A helps to build an integrated framework that supports speeding up organizational performance. Many factors and technological developments have shaped the past and present trends of BI&A.…”

Section: Understand the Market Conditions (Umc)mentioning

confidence: 99%

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

Ahmed¹

2021

E-Business - Higher Education and Intelligence Applications

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Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value. BI is the process on available data to extract, analyze and predict business-critical insights. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. Due to the existing of big data, Internet of Things (IoT), artificial intelligence (AI), and cloud computing (CC), BI became more critical and important process and received more great interest in both industry and academia fields. The main problem is how to use these new technologies for creating data-driven value for modern BI. In this chapter, to meet this problem, the importance of big data analytics, data mining, AI for building and enhancing modern BI will be introduced and discussed. In addition, challenges and opportunities for creating value of data by establishing modern BI processes.

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“…It is essential to take a Workplace learning analytics holistic view of the organisation to be able to thoroughly integrate and synchronize BA and PM approaches (Abai et al, 2015b;Raffoni et al, 2018). Proposed frameworks by Abai et al (2015a), Appelbaum et al (2017) and Raffoni et al (2018) are procedural, that is, they prescribe a process for the establishment of BPA and the integration of different data sources, analysis methods and PM elements (Folan and Browne, 2005). Furthermore, Abai et al (2015a) and Silvi et al (2010) provide some structural frameworks that specify a typology for PM.…”

Section: Performance Management Analytics (Pma)mentioning

confidence: 99%

“…Proposed frameworks by Abai et al (2015a), Appelbaum et al (2017) and Raffoni et al (2018) are procedural, that is, they prescribe a process for the establishment of BPA and the integration of different data sources, analysis methods and PM elements (Folan and Browne, 2005). Furthermore, Abai et al (2015a) and Silvi et al (2010) provide some structural frameworks that specify a typology for PM. However, these frameworks remain on a rather abstract level, defining and grouping requirements, processes and ICT components necessary to implement an integrated BA and PM approach.…”

Section: Performance Management Analytics (Pma)mentioning

confidence: 99%

Measuring the impact of learning at the workplace on organisational performance

Kopp

Kinkel

Schäfer

et al. 2020

IJPPM

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PurposeThe purpose of this article is to explore the importance of workplace learning in the context of performance measurement on an organisational level. It shows how workplace learning analytics can be grounded on professional identity transformation theory and integrated into performance measurement approaches to understand its organisation-wide impact.Design/methodology/approachIn a conceptual approach, a framework to measure the organisation-wide impact of workplace learning interventions has been developed. As a basis for the description of the framework, related research on relevant concepts in the field of performance measurement approaches, workplace learning, professional identity transformation, workplace and social learning analytics are discussed. A case study in a European Public Employment Service is presented. The framework is validated by qualitative evaluation data from three case studies. Finally, theoretical as well as practical implications are discussed.FindingsProfessional identity transformation theory provides a suitable theoretical framework to gain new insights into various dimensions of workplace learning. Workplace learning analytics can reasonably be combined with classical performance management approaches to demonstrate its organisation-wide impact. A holistic and streamlined framework is perceived as beneficial by practitioners from several European Public Employment Services.Research limitations/implicationsEmpirical data originates from three case studies in the non-profit sector only. The presented framework needs to be further evaluated in different organisations and settings.Practical implicationsThe presented framework enables non-profit organisations to integrate workplace learning analytics in their organisation-wide performance measurement, which raises awareness for the importance of social learning at the workplace.Originality/valueThe paper enriches the scarce research base about workplace learning analytics and its potential links to organisation-wide performance measurement approaches. In contrast to most previous literature, a thorough conceptualisation of workplace learning as a process of professional identity transformation is used.

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An integrated framework of business intelligence and analytic with performance management system: A conceptual framework

Cited by 7 publications

References 15 publications

Data Model Design to Support Data-Driven IT Governance Implementation

Data Model Design to Support Data-Driven IT Governance Implementation

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

Measuring the impact of learning at the workplace on organisational performance

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