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Key Takeaway
Volatility is the new normal in energy and mining. Connected planning helps finance teams forecast faster and allocate capital with confidence — without ripping out the systems already in place.
Volatility isn't the exception in energy and mining anymore. It's the operating environment. Commodity prices swing on geopolitics. Electricity costs move with grid demand. Capital projects take a decade to plan and a single policy shift can undo the assumptions behind them. For finance and operations leaders in this sector, the old planning playbook, built for stable cycles and annual budgets, simply can't keep up.
Energy and mining companies plan across timelines that stretch far beyond a typical fiscal year. A mine can take a decade to move from exploration to production. A power asset might be financed on a 20-year horizon. Yet the inputs to those plans — commodity prices, energy costs, trade policy — can shift meaningfully within a single quarter.
Commodity traders now navigate shorter, more frequent volatility cycles than in past supercycles, according to McKinsey, which is pushing companies toward faster capital redeployment and more flexible operating models. That same pressure runs straight through to planning. If trading desks need to reposition in weeks, finance can't afford to run a forecast that's stale before it's even approved.
Static, spreadsheet-driven budgets weren't built for this. They lock in assumptions at a point in time and treat deviation as an exception to explain later, not a signal to plan around from the start.
A few specific pressure points show up again and again across energy and mining finance teams:
Energy-Intensive Operations Are Exposed to Cost Swings They Can't Control
Electric arc furnace mini mills account for roughly 70 to 72 percent of US raw steel production, and rising industrial electricity prices are pushing operators toward energy-aware scheduling and tighter process control just to protect unit costs, per Deloitte's 2026 mining and metals outlook. That's not a procurement problem. It's a planning problem, because it requires operational and financial forecasts to move together in near real time.
Capital Allocation Decisions Carry More Weight, and More Risk, Than They Used To
Mining development capital is expected to grow 39 percent by 2050 while renewables investment climbs even faster at 52 percent, according to PwC's Mine 2026 report — a gap the report frames as structural rather than cyclical. Every dollar of that capital competes against alternative uses, and the business case has to hold up even as commodity assumptions shift underneath it.
Long Lead Times Collide With Short-Term Uncertainty
A project greenlit under one set of price and policy assumptions can look very different three years into construction. Planning needs to account for that drift, not just the day-one business case.
The answer isn't more forecasting effort inside the same disconnected tools. It's connecting the pieces that already exist — operational data, capital planning, workforce costs, and commodity exposure — into a single planning environment that can be re-run as conditions change. A few shifts tend to matter most:
Rolling Forecasts Instead of Annual Lock-Ins
When a plan updates monthly or even weekly against live actuals, a commodity swing or a policy change becomes an input to the next forecast cycle rather than a variance to be explained months later.
Scenario Modeling as a Standing Capability, Not a Special Project
Energy and mining teams need to run "what if copper drops 15 percent" or "what if this tariff holds through Q3" without building a new spreadsheet each time. That only works when planning data is connected and models can be reused.
Operational and Financial Planning in the Same System
Production schedules, energy costs, and capital plans often live in separate tools maintained by separate teams. Bringing them into one connected environment means a change in one area shows up automatically where it matters elsewhere, instead of waiting for the next reconciliation cycle.
Workforce and Safety-Critical Planning Built In, Not Bolted On
Labor costs and availability are as volatile as commodity prices in this sector right now. Planning needs to treat workforce data as a first-class input, not an afterthought pulled in at quarter-end.
None of this requires ripping out existing systems. Most energy and mining companies have already invested heavily in ERP, operational technology, and point planning tools. The opportunity is connecting what's there, not replacing it.
The teams that make progress fastest tend to start narrow. Rather than redesigning every planning process at once, they pick one high-volatility area — energy costs, a single commodity exposure, or one capital-intensive business unit — and build a connected forecast around it first.
That gives finance a working model to test against real conditions, and it gives the broader organization proof that connected planning holds up before asking every team to change how they work. From there, the same framework extends to adjacent areas: workforce costs, additional commodities, or capital projects further down the pipeline.
Momentum matters more than scope in the first phase.
Keansa works with energy and mining organizations to build connected planning environments across platforms including Anaplan, Jedox, OneStream, Board, and Power BI, integrating operational, financial, and workforce data so forecasts can move as fast as the market does. That includes rolling forecast design, scenario modeling frameworks, and integration work that connects planning tools to the operational systems already running the business.
Ready to see how connected planning could work for your energy or mining organization?
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