Radar, a Framework for Automated Reporting

Albani, Ada Maria Antonia Piazzini; Cortesi, Nicola; Topalović, Amir; Psaila, Giuseppe

doi:10.33965/ac2019_201912l007

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…In comparison with our previous work [4], which for the first time gave a (still partial) presentation of the RADAR Framework, the present paper provides many contributions. (i) The application scenario is clearly described, by exploiting a running example.…”

Section: Introductionmentioning

confidence: 91%

RADAR: Resilient Application for Dependable Aided Reporting

2021

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Many organizations must produce many reports for various reasons. Although this activity could appear simple to carry out, this fact is not at all true: indeed, generating reports requires the collection of possibly large and heterogeneous data sets. Furthermore, different professional figures are involved in the process, possibly with different skills (database technicians, domain experts, employees): the lack of common knowledge and of a unifying framework significantly obstructs the effective and efficient definition and continuous generation of reports. This paper presents a novel framework named RADAR, which is the acronym for “Resilient Application for Dependable Aided Reporting”: the framework has been devised to be a ”bridge” between data and employees in charge of generating reports. Specifically, it builds a common knowledge base in which database administrators and domain experts describe their knowledge about the application domain and the gathered data; this knowledge can be browsed by employees to find out the relevant data to aggregate and insert into reports, while designing report layouts; the framework assists the overall process from data definition to report generation. The paper presents the application scenario and the vision by means of a running example, defines the data model and presents the architecture of the framework.

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Section: Introductionmentioning

confidence: 91%

RADAR: Resilient Application for Dependable Aided Reporting

2021

Self Cite

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“…However, specialisation in respect of industrial calculations is not the focus of this software. Academic research on reporting typically does not include industrial specialisation within the scope of the study [15]- [20].…”

Section: Industrial Specialisationmentioning

confidence: 99%

“…In the literature, the focus is rarely on the large-scale implementation of a reporting effort or software. 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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Radar, a Framework for Automated Reporting

Cited by 2 publications

References 10 publications

RADAR: Resilient Application for Dependable Aided Reporting

RADAR: Resilient Application for Dependable Aided Reporting

Developing a Structured System for Specialised Industrial Reporting

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