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

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Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	257-268
Sayfa sayısı	12
Dergi	Mining, Metallurgy and Exploration
Hacim	36
Basın numarası	2
DOI'lar	https://doi.org/10.1007/s42461-018-0044-4
Yayın durumu	Yayınlandı - 1 Nis 2019
Harici olarak yayınlandı	Evet

Bibliyografik not

Publisher Copyright:
© 2019, Society for Mining, Metallurgy & Exploration Inc.

Belgeye Erişim

10.1007/s42461-018-0044-4

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Formal Assessment and Measurement of Data Utilization and Value for Mines",

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.",

keywords = "Data management, Data utilization, Data valuation, Sociotechnical systems, Technology return of investment",

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

note = "Publisher Copyright: {\textcopyright} 2019, Society for Mining, Metallurgy & Exploration Inc.",

year = "2019",

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day = "1",

doi = "10.1007/s42461-018-0044-4",

language = "English",

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T1 - Formal Assessment and Measurement of Data Utilization and Value for Mines

AU - Rogers, W. Pratt

AU - Kahraman, M. Mustafa

AU - Dessureault, Sean

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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.

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.

KW - Data management

KW - Data utilization

KW - Data valuation

KW - Sociotechnical systems

KW - Technology return of investment

UR - http://www.scopus.com/inward/record.url?scp=85069646861&partnerID=8YFLogxK

U2 - 10.1007/s42461-018-0044-4

DO - 10.1007/s42461-018-0044-4

M3 - Article

AN - SCOPUS:85069646861

SN - 2524-3462

VL - 36

SP - 257

EP - 268

JO - Mining, Metallurgy and Exploration

JF - Mining, Metallurgy and Exploration

IS - 2

ER -

Formal Assessment and Measurement of Data Utilization and Value for Mines

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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