People, assets and production have to be constantly monitored across large remote locations and obstacles are hard to predict and mitigate. Controlling costs across exploration, construction and operation all the way through to retirement is a challenge many fail at. Add to that fluctuating commodity pricing – which requires quick action – as well as dynamic and often unpredictable resources.
Hundreds of mining, oil and gas companies use Pronto Xi ERP software and analytics to increase production with powerful demand and resource planning. Our Asset Management and Inventory applications support reliability, enabling on-schedule predictive and condition-based maintenance monitoring. Your team will also have the tools to deliver clarity with accurate financial and operational reporting for reconciliation – all while supporting decision making with Business Intelligence and KPIs.
Predict demand, revenue and expenses with high accuracy. Pronto Xi Financials helps you track every dollar in and out , uncovering more opportunities to improve performance and save. You reduce operating costs by minimising unnecessary purchases, activities and labour usage.
With Pronto Xi Asset & Facility Management align your people, processes and assets towards one goal – achieving business excellence. Applications like Pronto Xi Project, Service Management, Mobile Service and Rental help organisations deliver better results.
Gain access to the complete position of a business at any time with Pronto Xi Financials. Learn how core applications integrate all financial activities on a single system, delivering the insights necessary to monitor and grow profitability.
Pronto Xi Business Intelligence is user-friendly, removing barriers to gaining insights. A range of out-of-the box tools are combined with the leading data analysis platform, IBM Cognos Analytics to deliver compelling data-driven stories that support rapid, strategic decisions.
Learn how Sojitz Coal Mining overcame demands resulting from acquiring a new mine – and is leveraging data-led decision making to improve operational efficiency.
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