Data Governance Framework for Big Data Implementation with a Case of Korea

Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business intelligence governance framework for the Universidad de la Costa, easily replicable in other institutions. For this purpose, a diagnosis was made to identify the level of maturity in analytics. From this baseline, a model was designed to strengthen organizational culture, infrastructure, data management, data analysis and governance. The proposal contemplates the definition of a governance framework, guiding principles, strategies, policies, processes, decisionmaking body and roles. Therefore, the framework is designed to implement effective controls that ensure the success of business intelligence projects, achieving an alignment of the objectives of the development plan with the analytical vision of the institution.

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“…From a viewpoint of an IT expert, more attention should be paid to how to operate Big Data solutions after the introduction. (Kim & Cho 2017)…”

Section: Bi Governance In Companiesmentioning

confidence: 99%

Business intelligence governance framework in a university: Universidad de la costa case study

Niño

Morales-Ortega

2020

International Journal of Information Management

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“…Big Data is a cost-effective, high-speed and high-volume asset that has the ability to store variety information by processing data with all the innovations needed to improve insight and decision making [11]. A new data management strategy is needed to cope with the growth of data on the internet, social media, and open data.…”

Section: Big Datamentioning

confidence: 99%

Adaption of Big Data Technology for ITG Trust Framework: A Coherent Framework

Setyadi¹

2020

Selected Papers From the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Ban

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“…We argue that urban data governance should be viewed as a complex system project. With complex structure and diverse functions, the system contains multiple subsystems which are interrelated deeply and influenced by each other, making it necessary to hold a systematic view to handle the complexity (Kim & Cho, 2017), and the basic elements should be extracted and re-examined. The issues to be addressed are proposed for the governance of data quality, value and security, respectively.…”

Section: Introductionmentioning

confidence: 99%

A systematic framework for the complex system engineering of city data governance

et al. 2022

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The importance of data governance in the information age has become a deep consensus among all sectors. Under this context, data-driven urban governance has also become a key requirement for city development. However, as smart city and digital government continuously make progress, the utilization of urban data is still far from true intelligence, and no theoretical research on city data governance can fully guide the concrete implementation of engineering practice. In view of this, this paper proposes a systematic framework for the complex system engineering of urban data governance. We deconstruct urban data governance into a series of basic elements and discuss the key problems in urban data governance engineering regarding three dimensions, i.e., data quality, value and security. In view of the complexity of engineering projects, we establish the systematic framework of urban data governance from four levels, i.e., cognitive, methodological, technical and practical, and demonstrated the application in real practice with a case study on data-based epidemic prevention and control project in Shenzhen. The framework is proposed aiming to break through the key common difficulties in the practice of urban data governance engineering, provide systematic and operable solutions, and finally achieve the set goals.

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Data Governance Framework for Big Data Implementation with a Case of Korea

Cited by 23 publications

References 4 publications

Business intelligence governance framework in a university: Universidad de la costa case study

Business intelligence governance framework in a university: Universidad de la costa case study

Adaption of Big Data Technology for ITG Trust Framework: A Coherent Framework

A systematic framework for the complex system engineering of city data governance

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