How can resource companies use spatial business intelligence to unlock data interoperability to improve productivity, speed up growth and lead Industry 4.0


Keith Stroughair, LlamaZOO Interactive

Businesses in the minerals, metals, materials and energy industries are often hesitant to embrace Industry 4.0. There are fears about how much digital transformation will cost and what is the right technological path to take. There is also fear of the unknown -- the traditional way of doing business is often perceived to be less risky and more understandable. When it comes to taking part in Industry 4.0, resource companies are also overwhelmed with too much data. It’s a messy problem where data is fragmented, difficult to visualize and siloed in different legacy formats, preventing interoperability. Resource companies don’t need more data. They just need to know what to do with the data they have. LlamaZOO’s new class of digitally transformative software for the resource sector allows businesses to liberate their data and in turn derive meaningful insights, and find opportunities for savings and growth. By fusing geospatial, engineering and IIoT data, LlamaZOO offers resource companies spatial business intelligence for 3D training, digital twinning, asset tracking and project planning to manage uncertainty, save costs and identify new opportunities. For example, over a four-month period, one mining company saved hundreds of thousands of dollars in travel expenses on one project because staff did not have to fly to mine sites. Instead, the mining company used VR to view a digital twin of the project that enables viewers to visit the mine pit and observe equipment, facilities and other assets. Spatial business intelligence can offer the resource sector with a virtually risk-free mode for decision-making to reduce costs, improve safety and identify new opportunities while staying ahead of global the competition.
Mots Clés: Industry 4.0, IIoT, virtual twin, big data, Internet of Things, mining, stakeholder engagement, system integration, asset tracking, business intelligence, risk management, Industrial Internet of Things, AR, VR, virtual reality, data virtualization, cloud computing, data visualization