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    Process Mining in Modern Industry: Boosting Operational Efficiency

    21 min
    |
    |
    29 mai 2026
    TechnologyBusinessAI

    Explore how process mining is revolutionizing modern industry. Learn how data-driven insights boost operational efficiency by 40% in mining and manufacturing.

    Process Mining in Modern Industry: Boosting Operational Efficiency

    Meilleure citation de Process Mining in Modern Industry: Boosting Operational Efficiency

    “

    Process mining takes those disparate logs and strings them together to create an end-to-end map of the entire value chain. You aren't just looking at a static map of how things should go; you are seeing the reality of how they do go.

    ”

    Cette leçon audio a été créée par un membre de la communauté BeFreed

    Question posée

    Manufacturing process mining

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    Sources de connaissances
    Process Mining Digital Transformation Trends For The Mining Industry
    link
    https://farmonaut.com/mining/process-mining-digital-transformation-trends-for-mining-2026
    Mineral processing optimization - Enterprise AI Case Studies
    link
    https://case-studies.ai/use-cases/production-and-quality/PQ-004-mineral-processing-optimization/
    Rio Tinto documents 30-year-old manufacturing system using AI - iTnews
    link
    https://www.itnews.com.au/news/rio-tinto-documents-30-year-old-manufacturing-system-using-ai-625955
    Mine-to-Mill 2.0: From Grade Variability to Predictable Cash Flow
    link
    https://ntwist.com/blog/mine-to-mill-2.0-turning-grade-volatility-into-predictable-cash-flow-in-gold-silver-copper-and-iron-operations
    Industrial Process Mining Software Market Growth Analysis - Size and Forecast 2026-2030 | Technavio
    link
    https://www.technavio.com/report/industrial-process-mining-software-market-industry-analysis
    Manufacturing process analysis framework for process mining: case study of fully automated factory applications | The International Journal of Advanced Manufacturing Technology | Springer Nature Link
    link
    https://link.springer.com/article/10.1007/s00170-025-15029-5

    Foire aux questions

    Process mining is projected to boost operational efficiency by up to 40% in resource industries by the end of 2026. This significant jump represents a shift from digital aspirations to operational reality, allowing companies to bridge the gap between their intended system performance and actual ground-level activities. In industries like mining and manufacturing, these data-driven insights are becoming the baseline for staying competitive as costs rise and regulations tighten.

    Digital transformation is moving away from siloed digitization toward integrated, data-driven insights. By the end of 2026, over 70% of mining companies are expected to have adopted process mining for their digital initiatives. This shift replaces traditional physical mining concepts with data-focused strategies, ensuring that different departments, such as drilling and logistics teams, are no longer isolated but work together through shared digital insights.

    Process mining is no longer just a luxury; it is a necessity for staying competitive in a market characterized by rising costs and stricter regulations. By providing a clear view of what is actually happening on the ground, process mining helps resource industries achieve staggering efficiency gains. For an industry that typically measures success in tiny percentage points, the ability to nearly double efficiency in certain areas is a major competitive advantage.

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    Points clés

    1

    The Silent Revolution Beneath the Surface

    2

    Turning Digital Breadcrumbs into Operational Gold

    2:30
    3:21
    3

    The Three Pillars of Efficiency, Safety, and Sustainability

    5:25
    6:09
    4

    Breaking the Silos from Pit to Port

    5

    The AI Assistant for Thirty Year Old Systems

    11:38
    6

    Beyond the Factory Floor with Satellite Intelligence

    13:46
    7

    The Practical Playbook for Your Digital Shift

    16:00
    8

    Navigating the Challenges of a Data-Driven Future

    17:33
    18:13
    13:46
    9

    Closing Reflections on the Process-Aware Mine

    19:52
    20:36
    20:51

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