From Assumptions to Action: Unlocking Asset Management with Data-Driven Insights
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Key Takeaways
⇨ Master Data Governance & Data-Driven Decision Making: Ensuring data accuracy, consistency, and reliability through master data governance is crucial for enabling actionable insights and effective decision-making.
⇨ Evolving Maintenance Strategies: Transitioning from Time-Based Maintenance (TBM) to Condition-Based Maintenance (CBM) for optimised asset performance.
⇨ AI Integration: Leveraging AI to enhance decision-making speed and business value, with a focus on improving asset management.
Precision Drilling’s implementation of SAP S/4HANA in 2018 transformed its asset management strategy by establishing data governance, enhancing maintenance practices with real-time insights through SAP Analytics Cloud, and streamlining operations with mobile applications, ultimately driving digital transformation and operational efficiency.
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