Formal Assessment and Measurement of Data Utilization and Value for Mines

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

doi:10.1007/s42461-018-0044-4

Formal Assessment and Measurement of Data Utilization and Value for Mines

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

Mining and Geological Engineering

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

1 Scopus citations

Abstract

Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.

Original language	English (US)
Pages (from-to)	257-268
Number of pages	12
Journal	Mining, Metallurgy and Exploration
Volume	36
Issue number	2
DOIs	https://doi.org/10.1007/s42461-018-0044-4
State	Published - Apr 1 2019

Keywords

Data management
Data utilization
Data valuation
Sociotechnical systems
Technology return of investment

ASJC Scopus subject areas

Control and Systems Engineering
General Chemistry
Geotechnical Engineering and Engineering Geology
Mechanical Engineering
Metals and Alloys
Materials Chemistry

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10.1007/s42461-018-0044-4

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abstract = "Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.",

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AB - Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.

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Formal Assessment and Measurement of Data Utilization and Value for Mines

Abstract

Keywords

ASJC Scopus subject areas

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