A global Energy supermajor streamlined its fragmented digital portfolio, tackling rising costs and lost expertise head-on. With Open iT’s harvesting capabilities, advanced reporting, and expert support, they optimized software usage, eliminated waste, and transformed cost management into a strategic advantage.
A leading Energy supermajor with over 100,000 employees and $200 billion in revenue operates a very large digital product portfolio, spanning exploration, reservoir engineering, production, and Well operations. Their specialized software suite includes industry-leading tools for subsurface modeling, well operations, geophysical interpretation, and advanced reservoir modeling, supporting end-to-end operations from subsurface analysis to production management.
The company runs its internal cloud-based infrastructure, ensuring secure and seamless access to its integrated toolset across global locations. This setup proved invaluable during the pandemic, allowing operations to continue without disruption.
The company then faced escalating software costs and inefficiencies due to a fragmented and unmonitored software portfolio. Ownership of digital applications was spread across multiple teams, and there had been no systematic review of license usage for some time.
Key challenges included:
Recognizing the need for change, the company assembled a dedicated business analytics team to modernize software asset management and optimize licensing costs.
The most efficient way to create more accountability and awareness of how IT resources are used is to implement a chargeback system.
Learn how usage monitoring in an E&P IT environment can be beneficial for many stakeholders.
Have a meaningful software usage metrics and tools to evaluate and plan appropriately prior to making new licensing decisions.
Schedule a live demo today and get answers with a one-on-one walk-through. We’ll show you how your business can benefit from an efficient software asset management program with Open iT usage metering tools.
Key Takeaways A license denial has three possible causes – a genuine shortage, a seat checked out and left idle, or a server that failed to hand anything out – and only one of them means buy. Licensing teams call the split true and false denials. Telling them apart takes two views of the same
The line items you can see are rarely the ones doing the damage. Here are three costs that almost never show up on an IT budget line item.
Key Takeaways Concurrent license optimization reduces waste by using data to understand shared-license demand. Usage visibility helps identify idle capacity, denials, and the right number of licenses for actual workloads. Data-driven optimization supports lower costs and better access for concurrent license users. An engineering manager looks at the concurrent license pool and finds the same
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