Formal Assessment and Measurement of Data Utilization and Value for Mines

  • W. Pratt RogersEmail author
  • M. Mustafa Kahraman
  • Sean Dessureault


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.


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


Compliance with Ethical Standards

Conflict of Interest

The authors declare that there is no conflict of interest.


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Copyright information

© Society for Mining, Metallurgy & Exploration Inc. 2019

Authors and Affiliations

  • W. Pratt Rogers
    • 1
    Email author
  • M. Mustafa Kahraman
    • 2
  • Sean Dessureault
    • 3
  1. 1.Mining EngineeringUniversity of UtahSalt Lake CityUSA
  2. 2.Department of Mining EngineeringGumushane UniversityGumushaneTurkey
  3. 3.Mining and Geological EngineeringUniversity of ArizonaTucsonUSA

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