Exploring the value of using data: a case study of continuous improvement through data warehousing

W. Pratt Rogers; M. Mustafa Kahraman; Sean Dessureault

doi:10.1080/17480930.2017.1405473

Exploring the value of using data: a case study of continuous improvement through data warehousing

W. Pratt Rogers^*
, M. Mustafa Kahraman
, Sean Dessureault

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	286-296
Number of pages	11
Journal	International Journal of Mining, Reclamation and Environment
Volume	33
Issue number	4
DOIs	https://doi.org/10.1080/17480930.2017.1405473
Publication status	Published - 19 May 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Data-driven mine management
continuous improvement
data utilisation
data warehousing
socio-technical systems

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10.1080/17480930.2017.1405473

Cite this

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title = "Exploring the value of using data: a case study of continuous improvement through data warehousing",

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 {\textquoteleft}use{\textquoteright} 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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author = "Rogers, \{W. Pratt\} and Kahraman, \{M. Mustafa\} and Sean Dessureault",

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year = "2019",

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doi = "10.1080/17480930.2017.1405473",

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AU - Kahraman, M. Mustafa

AU - Dessureault, Sean

PY - 2019/5/19

Y1 - 2019/5/19

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AB - 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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KW - continuous improvement

KW - data utilisation

KW - data warehousing

KW - socio-technical systems

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M3 - Article

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JF - International Journal of Mining, Reclamation and Environment

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ER -

Exploring the value of using data: a case study of continuous improvement through data warehousing

Abstract

Bibliographical note

UN SDGs

Keywords

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