Transformation value in oil and gas is not only an outcome of deployment. It's built across every stage of the lifecycle, from discovery to ongoing operation. Organizations that treat each stage with equal discipline are the ones that deliver on the business case.
Imagine this: your organization has just wrapped up a major ERP transformation. Years of work across regions, asset types, and teams. You've deployed applications. You've redesigned processes. You've officially wrapped up the transformation program, and you’re happy with the results.
Six months later, though, the CFO is still looking for the ROI.
A 2026 Forrester Consulting study commissioned by SAP found that 50% of organizations cite inadequate follow-through and optimization efforts as a top challenge in business transformation. That kind of work both sustains and extends transformation value. Yet for half the organizations surveyed, it's precisely the work that gets cut short.
Transformation is complex across industries. In sectors such as oil and gas, where programs are often long and span multiple geographies, that gap between completion and value can become particularly costly.
Think of value realization as delivering, measuring, and sustaining the outcomes the transformation was designed to achieve. Or, in other words, turning the transformation vision into progress and, ultimately, operational proof. Value is built, or lost, at every stage of the transformation lifecycle:
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Discover
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Analyze
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Design
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Implement
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Operate
The first two stages are about identifying where value lives; the last three are where it's realized. Let’s dive into what each one means in practice.
Discover: Know what you're starting from
Before you can realize transformation value, you need to know where it lives. That work starts at discovery: building a shared picture of current processes, technology, and performance across the organization. Without that foundation, the rest of the lifecycle is built on assumptions rather than facts, and those assumptions tend to surface as costly corrections later in the program.
In oil and gas, operations span geographies, asset types, and legacy systems built over decades. The gap between how processes are documented and how they run is real, and transformation plans built on an inaccurate baseline may carry that inaccuracy forward. Closing that gap before the next stages of your transformation begin can help you start and continue on the right track.
Pemex Deer Park Refinery is one example of what starting with thorough discovery makes possible. A few years ago, the organization decided to undertake a full-scale IT transformation to lay the foundation for future scalability. Part of this transformation was a greenfield migration to SAP Cloud ERP Private.
As part of that effort, the company adopted SAP LeanIX and SAP Signavio solutions to build a centralized view of its enterprise architecture and business processes. That foundation enabled the company to identify 31% of its legacy applications as candidates for retirement or migration. It also supported the creation of a three-year technology roadmap aligned with strategic priorities. Insight into its process landscape helped the company understand how things worked, identify variances in process execution, and optimize process design for the new ERP.
As Albert Flores, enterprise architect at Pemex Deer Park, put it: "Using SAP LeanIX and SAP Signavio solutions to unite enterprise architecture with business process intelligence helped break down silos—not just between IT and the business but within the business itself."
Analyze: See where value hides
Discovery tells you what exists. Analysis tells you what to do with it.
This next stage is where the potential impact of your transformation gets quantified. Process analysis can help surface inefficiencies, identify the gap between the current state and the target state, and uncover data quality issues. At the same time, enterprise architecture can help you understand how applications support business capabilities, while maintaining visibility, understanding dependencies, and planning changes without unnecessary complexity.
The Forrester Consulting study commissioned by SAP found that disparate data sources and analytics tools are the second most cited capability gap across organizations. Poor data quality doesn't just slow analysis; it undermines the decisions that depend on it across every phase that follows. Rush past analysis, and you end up designing your transformation for an organization that doesn't really exist.
Among other things, in the oil and gas industry, analysis needs to separate organization-wide patterns from what is specific to a region. That distinction shapes what can realistically be standardized and where.
Design: Validate before you commit
Design is where transformation objectives get defined:
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Target processes
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Technology choices
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Operating model changes
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Data architecture
It's also the phase when you can confirm your target state before moving to implementation. You can simulate processes and test different scenarios to identify bottlenecks, while changes can still be made without disruption.
Your design target state aims to achieve certain goals. When you’re clear on how you’ll measure the impact of changes, it becomes easier to see when the transformation is complete and what success looks like. That’s why agreeing on target metrics is a key part of the design phase.
The Forrester Consulting study commissioned by SAP states that only 24% of organizations have a cross-functional governance board to align business, process, and technology priorities. When you’re working in an interconnected industry like oil and gas, a process change in one region can have IT dependencies in another. Designing without that cross-functional view means you’ll likely see ownership gaps show up during implementation, when they're generally more costly to fix.
Implement: People make it stick
The returns start in this phase. Streamlined processes begin making work more efficient, deployed applications make it easier for teams to get things done, and data starts providing the insights that inform decisions. What puts those returns at risk is rarely technical: it's that IT and business teams end up working in parallel rather than in partnership.
IT may focus on deployment milestones, while business leaders may focus on timelines and stakeholder expectations. This highlights the opportunity to better connect technical delivery with real business outcomes, making sure employees understand the changes, adopt the new tools, and get the full value from them.
The Forrester Consulting study commissioned by SAP found that 38% of respondents see achieving 90% user adoption within 60 days as the highest-impact outcome of a transformation program. It ranks ahead of any technical milestone.
Taking the oil and gas industry as an example, workforce dynamics such as a maturing workforce, skills transitions, and deep operational cultures shape how change is adopted. Investing in change management and adoption during implementation can help prevent risks from building over time.
Operate: Sustain and maximize value
After go-live, the transformation continues to generate value and build impact over time. Initial efficiency gains compound into long-term advantages, process improvements become embedded organizational capabilities, and technology investments continue to deliver value.
But those gains don't sustain themselves. Without continued attention, employees may drift back to familiar habits, and the knowledge built during the transformation can gradually fade. The discipline of tracking transformation KPIs can also fade at this point, even though visibility into whether changes are still delivering value remains important.
An active "operate" phase means monitoring process performance against design targets, tracking adoption rather than assuming it, and measuring outcomes against the business goals. In oil and gas organizations, field operations and remote sites often sit far from central oversight. This means small drifts in how processes run or how people work can compound for months before they become visible. Getting ahead of that drift is exactly what an active "operate" phase is meant to do.
So when the CFO is still looking for ROI six months after go-live, it may not be a technology problem. It often comes down to how intentionally the full lifecycle is managed, not just during deployment, but across every stage from discovery to day-to-day operation.
