Finding the Four Qualities of Intelligent Industrial Reporting

Botes, L.A.; Hamer, W.; Jaarsveld, Stephan van; Kleingeld, M.

doi:10.7166/30-3-2235

Cited by 3 publications

(3 citation statements)

References 49 publications

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“…Mining Industry 1- Botes et al (2019) identified four qualities, namely, establishing a focus area, data availability, analytics and visualization, that contributed to intelligent reporting, and applied them to a case study to evaluate the current intelligence of the reporting of the case study and areas for improvement based on data-driven decision-making.…”

Section: Allmentioning

confidence: 99%

Internet of Things Data Visualization for Business Intelligence

Khorasani

Chalmeta

2024

Big Data

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This study contributes to the research on Internet of Things data visualization for business intelligence processes, an area of growing interest to scholars, by conducting a systematic review of the literature. A total of 237 articles published over the past 11 years were obtained and compared. This made it possible to identify the top contributing and most influential authors, countries, publishers, institutions, papers and research findings, together with the challenges facing current research. Based on these results, this work provides a thorough insight into the field by proposing four research categories (Technology infrastructure, Case examples, Final-user experience, and Big Data tools), together with the development of these research streams over time and their future research directions.

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Section: Allmentioning

confidence: 99%

Internet of Things Data Visualization for Business Intelligence

Khorasani

Chalmeta

2024

Big Data

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“…Organisations operating in the contemporary business environment are moving towards using data to improve decision-making [10]. However, many industries use only a portion of the available data [11], which highlights the scope for a data-driven approach to managing commodities.…”

Section: Role Of Data In Decision-makingmentioning

confidence: 99%

Development of a Holistic Diesel Management System to Reduce Wastage in Open-Cast Gold Mining

Ngwaku

Pascoe

Pelser

et al. 2022

SAJIE

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Fuel prices in South Africa are variable and steadily rising. Diesel accounts for a large portion of operational expenditures in open-cast mining, placing pressure on fleet managers to address fuel theft and wastage. Raw data is often obtained in a variety of formats (handwritten or digital) in this environment. A need therefore exists to capture, interpret, and utilise raw diesel data to gain insights for decision-making. It is critical to develop a diesel management system that can monitor and track fuel usage to increase performance, lower operational and maintenance costs, and eliminate misappropriation. Mining companies could benefit from a comprehensive diesel management system that enabled them to control, report, and track usage. The ‘data-information-knowledge-wisdom’ hierarchy is used in this study to capture and utilise raw diesel data for wastage reduction, business intelligence insights, and data visualisation to assist with faster decision-making. Keywords open-cast mining; diesel management; business intelligence; DIKW; diesel management dashboard; decision making

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“…Tools are often used, but only to generate a single dashboard or report [15]- [20]. Other studies focus on how to design an effective report or dashboard or how to measure its effectiveness [25], [26].…”

Section: Large-scale Implementationmentioning

confidence: 99%

Developing a Structured System for Specialised Industrial Reporting

Taljaard

Niekerk

Vosloo

et al. 2021

SAJIE

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Reporting assists with informed decision-making. For industrial processes, accurate reporting of data can be vital to the success of a project. Reporting efforts can be scaled and automated by making use of software tools and products. It is often the case that tools that are not developed for reporting purposes (e.g., spreadsheets) are used to report on industrial data. This results in a lack of standardisation, and hinders large-scale implementation. Existing reporting software also does not focus on being specialised for both industrial data and large-scale implementation. The study aims to develop a system that addresses these problems. To validate it, the system is implemented on multiple large-scale South African mines, and more than 380 specialised reports are distributed daily using the newly developed system.

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Finding the Four Qualities of Intelligent Industrial Reporting

Cited by 3 publications

References 49 publications

Internet of Things Data Visualization for Business Intelligence

Internet of Things Data Visualization for Business Intelligence

Development of a Holistic Diesel Management System to Reduce Wastage in Open-Cast Gold Mining

Developing a Structured System for Specialised Industrial Reporting

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