Paving the way for innovation and flexibility

To navigate turbulent environment of supply chain interruptions, labor shortages, evolving technological landscapes, and stricter sustainability mandates you must foster agility and innovate, adapting swiftly to the dynamic business environment.

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.

Challenges

01
Agility and predictive data

In the competitive mining industry, success hinges on agility, productivity, and predictive analysis. Adopting new technologies and insights ensures companies stay ahead by adapting quickly, optimizing resources, and maintaining safety.

02
Strengthening collaboration

Vital collaboration across the mining ecosystem promotes efficiency. By sharing data among customers, suppliers, employees, and communities, companies foster informed decision-making and unity.

03
Customer-centric focus

Understanding and adapting to customer and end-consumer behaviors are crucial. Integrating insights into every decision supports customer-centric growth.

04
Committing to Sustainability

Mining companies face increasing ESG demands. Adopting sustainability reporting and managing environmental impacts are essential for maintaining social and legal licenses to operate, aligning practices with societal and regulatory expectations.

The Vision

1.
Make the business more agile, productive, and predictive

In the dynamic and capital-intensive mining sector, agility, productivity, and predictive capabilities set apart the most successful firms. These companies excel by swiftly adapting to market changes, judiciously planning and executing strategies, minimizing resource usage, and ensuring operational safety. The adoption of innovative technologies, alongside gaining profound operational and business insights, plays a crucial role in facilitating this transformative shift.

2.
Collaborate with customers, suppliers, and workers

Fostering collaboration within the expansive mining ecosystem, encompassing everyone from customers and suppliers to employees, contractors, and local communities, is increasingly vital. Moving away from traditional, linear processes with restricted data flow, a more integrated approach promotes shared access to uniform data sets. This ensures that all stakeholders make informed decisions based on consistent information, enhancing efficiency and unity across the board.

3.
Focus on customer needs

Prioritizing customer needs is crucial for B2B companies to add value effectively. This requires a deep understanding of customer purchasing behaviors and product usage, extending to the end consumer. As end consumer expectations evolve, businesses must adapt, ensuring decisions are informed by these changing behaviors. Embracing customer-centricity involves integrating these insights into all business decisions, guided by thorough experience management.

4.
Build a responsible and sustainable business

Establishing a responsible and sustainable operation is paramount for mining companies, driven by escalating ESG demands from the public, investors, and governments. The adoption of standardized sustainability reporting frameworks necessitates detailed disclosures on environmental impacts, supported by transparent and high-quality data management. Maintaining and renewing their social and legal licenses to operate remains a critical focus, ensuring their practices align with both regulatory requirements and societal expectations.

The Journey

Today

Siloed data and processes. Single plant view

Future

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.

Today

Siloed data and processes. Single plant view

Future

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.

Today

Siloed data and processes. Single plant view

Future

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.

Today

Siloed data and processes. Single plant view

Future

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.

50-80%

reduced costs for terrestrial mines using 3D printing compared to standard manufacturing methods

60%

of mining companies are piloting edge computing within their mining operations

51%

of mining companies globally are expecting their spending on IT-related investments within IT and operations to increase in the next 12 months

90%

of new enterprise applications will embed artificial intelligence by 2025

60%

of G2000 manufacturers will address growing industry talent shortages by making significant investments in intelligent robotic process automation by 2023

70%

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

Discovery and analysis

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.

01
Application Integration

Leverage industry-leading business applications across both front-end and back-end systems.

02
Comprehensive Support

Combine all elements to support customer-specific, end-to-end industry processes essential for digital transformation and operating as an intelligent and sustainable enterprise.

03

Our
use-cases

Manufacturing

Curated product selection through a subscription model

Extend and enrich our offering by collaborating across company and external partners to deliver services that continuously deliver value over time to our customers.
High-Tech

Digital Asset Delivery encompassing both Saas and Daas

Embrace digital disruption to transform global organizational processes.
Manufacturing

Accurate data insights for efficient daily farm operations

Extend and enrich our offering by collaborating across company and external partners to deliver services that continuously deliver value over time to our customers.

Products used

Insights

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In the Digital Age, a Digital Executive is needed on the Board

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Bring hierarchy to your metrics

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by
Jons Janssens
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How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost

How to avoid rework and time waste in e-commerce development

Let’s take medical literature as an example. PubMed remains the main access point for most researchers, and it functions as an old-style repository. There are no data aggregation functionalities; the search is based on basic criteria that mostly only rely on the article’s title, abstract, and keyword.
Written by Jons Janssens
Blogpost