Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data

Riggins, Frederick J.; Klamm, Bonnie K.

doi:10.1016/j.jaccedu.2016.12.002

Cited by 33 publications

(24 citation statements)

References 3 publications

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“…Providing the right data to the right people is not easy. It is an essential generator for the data quality, security and as described by the Riggins & Klamm (2017) it is related to technology, people and processes. In the literature review, the concept of data governance is more analyzed in the context of challenges that it initiates if data is not governed in the right way.…”

Section: Discussionmentioning

confidence: 99%

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Self-Service Business Intelligence success factors that create value for business

Sinaj¹

2021

Proceedings of the 1st Linnaeus Student Conference on Information Technology: Digital Transformation in the Contemporary World

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Business Intelligence and Analytics have change the business needs, but the market requires a more data- driven decision-making environment. Self-service Business Intelligence initiatives are providing more competitive advantages currently. The role of the users and freedom of access is one of the essential advantages that SSBI holds. Despite this fact, there is still needed analysis on how business can gain more value from SSBI, based on the technological, operational and organizational aspects. The work in this paper serves to analysis on the SSBI requirements that bring value to business. The paper is organized starting from building knowledge by upon the existing literature and exploring the domain. Data will be collected by interviewing experts of the fields. The main findings will provide future suggestion related to the topic and the results will serve both the companies that have implemented it and the ones that want to see it as a perspective in the future.

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Section: Discussionmentioning

confidence: 99%

“…It is also related with the data quality concept. Riggins and Klamm (2017) define data governance as an enforcement of the policies for the operational technical personnel. In this way it provides the data to right people when they need it, to make the right decisions.…”

Section: Ssbi -Technological Aspectmentioning

confidence: 99%

Self-Service Business Intelligence success factors that create value for business

Sinaj¹

2021

Proceedings of the 1st Linnaeus Student Conference on Information Technology: Digital Transformation in the Contemporary World

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“…Cross-disciplinary, high-level skills and real-world techniques are required, with students learning broad management competencies (Rebele and Kent St Pierre, 2019;Enget, Saucedo, and Wright, 2017). Particularly important are the hands-on, practical skills, using data analytics with critical thinking and judgement (Kokina, Panamanova, and Corbett, 2017;Riggins and Klamm, 2017;Enget et al, 2017).…”

Section: Critical Thinking Skillsmentioning

confidence: 99%

“Big results require big ambitions”: big data, data analytics and accounting in masters courses

McBride

Philippou

2021

ARJ

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Purpose Accounting education is re-inventing itself as technology impacts the practical aspects of accounting in the real world and education tries to keep up. Big Data and data analytics have begun to influence elements of accounting including audit, accounting preparation, forensic accounting and general accountancy consulting. The purpose of this paper is to qualitatively analyse the current skills provision in accounting Masters courses linked to data analytics compared to academic and professional expectations of the same. Design/methodology/approach The academic expectations and requirements of the profession, related to the impact of Big Data and data analytics on accounting education were reviewed and compared to the current provisions of this accounting education in the form of Masters programmes. The research uses an exploratory, qualitative approach with thematic analysis. Findings Four themes were identified of the skills required for the effective use of Big Data and data analytics. These were: questioning and scepticism; critical thinking skills; understanding and ability to analyse and communicating results. Questioning and scepticism, as well as understanding and ability to analyse, were frequently cited explicitly as elements for assessment in various forms of accounting education in the Masters courses. However, critical thinking and communication skills were less explicitly cited in these accounting education programmes. Research limitations/implications The research reviewed and compared current academic literature and the requirements of the professional accounting bodies with Masters programmes in accounting and data analytics. The research identified key themes relevant to the accounting profession that should be explicitly developed and assessed within accounting education for Big Data and data analytics at both university and professional levels. Further analysis of the in-depth curricula, as opposed to the explicitly stated topic coverage, could add to this body of research. Practical implications This paper considers the potential combined role of professional qualification examinations and master’s degrees in skills provision for future practitioners in accounting and data analysis. This can be used to identify the areas in which accounting education can be further enhanced by focus or explicit mention of skills that are both developed and assessed within these programmes. Social implications The paper considers the interaction between academic and professional practice in the areas of accounting education, highlighting skills and areas for development for students currently considering accounting education and data analytics. Originality/value While current literature focusses on integrating data analysis into existing accounting and finance curricula, this paper considers the role of professional qualification examinations with Masters degrees as skills provision for future practitioners in accounting and data analysis.

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“…Thus it affects the quality of the data [7] . Several other studies have also implemented DG to address data quality problems [44,45] . The established statement of this relationship is: A good implementation of DG could potentially give rise to a good DQ.…”

Section: Figurementioning

confidence: 99%

Analysis of Business Process Management (BPM) Effect towards Data and Information Quality Improvement at Higher Education: A Literature Study

Sujanawati

Wibowo

2021

JTS

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Business Process Management (BPM) is a collection of methods, techniques, and tools to optimize organizational performance. In the case of higher education institutions (HEIs), BPM is usually implemented to provide a standard business process. Implementation of Data Governance (DG) is often based on the desire for good Data Quality (DQ), to help an organization carry out its strategies and achieve its objectives. Previous research has proven that DG would improve data quality and safety and trigger a better standard. While data and information are essentially connected, BPM and DG have been addressed separately in the process of obtaining high quality data and information. This study conducts a literature review to investigate the relationship of BPM in the development of DG in HEIs. Articles related to BPM, DG, and DQ are collected from relevant databases. The articles are filtered and perused further to obtain 23 articles that are analyzed and synthesized to answer the research question. Based on these articles, a conceptual model is developed, depicting relationship in the application of BPM and DG. The first relationship identified from previous work is that the successful implementation of BPM influences DG planning and implementation success. Second, a good BPM implementation influences the process of obtaining a good DQ. Finally, implementing a good DG influences the acquirement of a good DQ. This study also found that BPM, DG, and DQ implementation at HEIs was fewer than that at other sectors or case studies, which open up opportunities for further studies.

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Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data

Cited by 33 publications

References 3 publications

Self-Service Business Intelligence success factors that create value for business

Self-Service Business Intelligence success factors that create value for business

“Big results require big ambitions”: big data, data analytics and accounting in masters courses

Analysis of Business Process Management (BPM) Effect towards Data and Information Quality Improvement at Higher Education: A Literature Study

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