Industry overview
The integration of robotics, autonomous equipment, and the utilization of real-time operational data are set to elevate productivity in mining by optimizing equipment usage, allocating teams more efficiently, and achieving more with fewer resources. Mining companies are grappling with supply chain challenges, including shortages of raw materials, spare parts, fuel, and transport capacities, necessitating a resilient and agile response to swiftly adjust and implement plans.
The evolution of the mining sector involves extensive collaboration, not just with traditional stakeholders like vendors and the workforce but also with non-traditional entities such as tech companies, data scientists, and local communities. Moreover, the importance of maintaining a license to operate is escalating, influenced by factors like sustainability ratings affecting capital costs and the expansion of regulatory and voluntary reporting on various sustainability facets, including inclusion, sourcing, and emissions.
Siloed data and processes. Single plant view
Integrated operations management
Make the business more agile, productive, and predictive
Merge mining and business data to enhance agility and incorporate manufacturing planning techniques for immediate operational insights. By integrating mine planning with business and sales strategies, decisions can now prioritize profitability. Streamline planning cycles significantly, from days to mere hours. Shift from traditional spreadsheet analysis to real-time, embedded analytics for instant data evaluation. Utilize machine learning on operational data to predict equipment failures, minimizing unexpected downtime and optimizing maintenance strategies.
Siloed data and processes. Single plant view
Integrated operations management
Collaborate with customers, suppliers, and workers
Broaden collaboration with equipment OEMs and service suppliers to develop the digital twin, sharing vital data for enhanced visibility and agility. Transform linear supply chains into dynamic digital networks, aligning procurement with sales, production, and delivery to boost customer satisfaction. This connectivity allows for swift responses to network changes, leveraging digital twins for immediate insights. Positioned at the nexus of this transformation, your company leverages Industry 4.0 technologies, integrating operations with predictive maintenance to revolutionize the mining landscape.
Siloed data and processes. Single plant view
Integrated operations management
Focus on customer needs
Integrate customer data throughout the value chain for impactful engagements, ensuring comprehensive visibility into customer interactions. This includes monitoring transport to preempt delays and offering alternatives, providing value-added services like order tracking, product origins, and quick claim resolutions. Align sales and operations planning to synchronize demand with operational capabilities and automate the assay exchange, enhancing efficiency and customer service quality.
Siloed data and processes. Single plant view
Integrated operations management
Build a responsible and sustainable business
Aim for net-zero carbon emissions and enhance the ecosystem by setting, monitoring, and aiding customers in achieving their sustainability targets. Create a transparent, auditable system for corporate carbon tracking. Utilize SAP or alternative data sources for essential ESG reporting KPIs. Benchmark operations and value chains for optimization through detailed data and predictive analytics. Incorporate sustainability as a critical metric in procurement decisions. Adhere to regulations demanding transparency in the value chain and assess product footprints for emissions and other ESG indicators. Attain comprehensive ESG management and reporting by leveraging consistent frameworks and KPIs.
reduced costs for terrestrial mines using 3D printing compared to standard manufacturing methods
of mining companies are piloting edge computing within their mining operations
of mining companies globally are expecting their spending on IT-related investments within IT and operations to increase in the next 12 months
of new enterprise applications will embed artificial intelligence by 2025
of G2000 manufacturers will address growing industry talent shortages by making significant investments in intelligent robotic process automation by 2023
of G2000 companies will use AI to develop guidance and insights for risk-based operational decision-making by 2026, compared with less than 5% of the G2000 today.
How we can help
Thorough discovery and analysis phase to understand your specific business needs and challenges. Utilize technology as the base for application integration, extension, and access to a robust ecosystem, including AI solutions.
Leverage industry-leading business applications across both front-end and back-end systems.
Combine all elements to support customer-specific, end-to-end industry processes essential for digital transformation and operating as an intelligent and sustainable enterprise.
Our
use-cases
Accurate Data Insights For Efficient Dairy Farm Operations
Transforming Sales Processes in Global Transportation and Logistics
