Exploring the value of using data: a case study of continuous improvement through data warehousing
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Özet
The mining industry is adapting data-rich technology. Data management processes and infrastructure require additional investment which, can be difficult to justify. A valuation model for data management infrastructure would necessitate modelling the ‘use’ of data and quantifying the value and the likelihood of success of improvement initiatives. A model is presented which can assess the impacts of a data-driven initiative. The initiatives are shown to be the foundation of improved shift coordination resulting in significant and sustained operational improvements. This paper aims to illustrate the value of using data from source systems in mining operations.
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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/11352Resmi atıflarda kullanılan kalıcı adresTam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Rogers, W. Pratt | |
| dc.contributor.author | Kahraman, M. Mustafa | |
| dc.contributor.author | Dessureault, Sean | |
| dc.date.accessioned | 2026-10-22T10:18:55.974817771Z | |
| dc.date.available | 2026-10-22T10:18:55.974817771Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | The mining industry is adapting data-rich technology. Data management processes and infrastructure require additional investment which, can be difficult to justify. A valuation model for data management infrastructure would necessitate modelling the ‘use’ of data and quantifying the value and the likelihood of success of improvement initiatives. A model is presented which can assess the impacts of a data-driven initiative. The initiatives are shown to be the foundation of improved shift coordination resulting in significant and sustained operational improvements. This paper aims to illustrate the value of using data from source systems in mining operations. | |
| dc.identifier.doi | 10.1080/17480930.2017.1405473 | |
| dc.identifier.eissn | 1748-0949 | |
| dc.identifier.endpage | 296 | |
| dc.identifier.issn | 1748-0930 | |
| dc.identifier.issue | 4 | |
| dc.identifier.scopus | 2-s2.0-85034856779 | |
| dc.identifier.startpage | 286 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/11352 | |
| dc.identifier.volume | 33 | |
| dc.identifier.wos | WOS:000463831700004 | |
| dc.language.iso | en | |
| dc.publisher | Taylor and Francis Ltd. | |
| dc.relation.ispartof | International Journal of Mining, Reclamation and Environment | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | continuous improvement | |
| dc.subject | data utilisation | |
| dc.subject | data warehousing | |
| dc.subject | Data-driven mine management | |
| dc.subject | socio-technical systems | |
| dc.subject.classification | Environmental Sciences | |
| dc.subject.classification | Mining & Mineral Processing | |
| dc.subject.classification | Environmental Sciences & Ecology | |
| dc.subject.other | Data warehouses | |
| dc.subject.other | Investments | |
| dc.subject.other | Warehouses | |
| dc.subject.other | Continuous improvements | |
| dc.subject.other | data utilisation | |
| dc.subject.other | Management infrastructure | |
| dc.subject.other | Management process | |
| dc.subject.other | Mine management | |
| dc.subject.other | Mining operations | |
| dc.subject.other | Operational improvements | |
| dc.subject.other | Sociotechnical systems | |
| dc.subject.other | data management | |
| dc.subject.other | database | |
| dc.subject.other | infrastructure | |
| dc.subject.other | mining industry | |
| dc.subject.other | model | |
| dc.subject.other | valuation | |
| dc.subject.other | Information management | |
| dc.title | Exploring the value of using data: a case study of continuous improvement through data warehousing | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 11 | |
| rdl.citation.scopus | 9 | |
| rdl.citation.wos | 8 | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG09 | |
| rdl.sdg | SDG12 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) | |
| rdl.wos.index | Social Science Citation Index (SSCI) |


