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 |
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Pages (from-to) | 257-268 |
Number of pages | 12 |
Journal | Mining, Metallurgy and Exploration |
Volume | 36 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Apr 2019 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019, Society for Mining, Metallurgy & Exploration Inc.
Keywords
- Data management
- Data utilization
- Data valuation
- Sociotechnical systems
- Technology return of investment