Your SCADA knows what the plant produced. Your ERP knows what it cost. The two systems have never been properly introduced.
Production data lives in process historians and control systems updated every few seconds. Financial data lives in monthly batch runs. The gap between them is where your cost per unit is calculated by a senior engineer in Excel — and retires with them.
We speak SCADA and OEE. Not just BI.
In energy and mining, operational truth lives in control systems, process historians and remote terminal units that were never designed to communicate with an ERP. Your production number, your cost per unit, and your energy intensity are each calculable — but from different systems, with different timestamps, different unit conventions, and different handling of shutdowns and curtailments. The number your operations director uses and the number your CFO uses are rarely the same.
For renewable energy operators, the challenge is different but parallel: generation data from inverters and SCADA, irradiance and wind data from sensors, curtailment instructions from the grid operator, and availability calculations that depend on whether a shutdown was planned or forced. Your performance ratio means one thing to your operations team and another thing to your parent company or offtaker.
For mining and extractive operators, grade reconciliation between the block model, the laboratory assay, and the processing plant output is a persistent source of management tension. The CFO’s cost per tonne and the metallurgist’s recovery rate are two halves of the same profitability picture that nobody has assembled in one view.
Environmental reporting — carbon intensity, water consumption, tailings management, regulatory compliance — has moved from a back-office function to a board-level obligation. Your parent company’s ESG commitments require data your operational infrastructure was not built to produce.
SCADA and ERP speak different languages about the same reality
Production volume in your historian is not the same as production volume in your ERP. The difference is real and significant. It lives in an engineer’s reconciliation model that nobody else understands.
Cost per unit is a monthly estimate, not a daily fact
Your finance system closes monthly. Your operations team makes production decisions daily. The cost feedback loop is thirty days behind the decisions it is supposed to inform.
Asset availability is tracked, equipment reliability is not predicted
MTBF and MTTR are reported in the maintenance system. The patterns that predict the next unplanned shutdown — vibration trends, temperature anomalies, maintenance backlog density — are never connected to the financial impact model.
Environmental compliance is manual and fragmented
Carbon, water, waste, and regulatory reporting come from different systems, different teams, and different update frequencies. Your environmental officer assembles the compliance report from emails every quarter.
Remote site data quality is inconsistent and unreliable
Your best data comes from your best-connected site. Remote operations report what they can, when connectivity allows. Your portfolio view is only as good as the weakest data link in it.
Discovery that bridges OT data and financial reality.
Wit, WizEmp’s AI-powered discovery process, runs structured anonymous interviews across operations, maintenance, finance and compliance before any report is built. In energy and mining, the most accurate knowledge of what the data actually means lives with shift supervisors and control room operators — not in the system documentation.
Vocabulary Wit uses in your environment:
Adaptation 01
SCADA-to-finance reconciliation treated as the primary scoping question
Wit asks: when your historian shows X megawatt-hours and your billing system shows Y, which number does the operations director trust? The answer determines where the semantic model boundary sits.
Adaptation 02
Shutdown classification mapped before architecture
Forced, planned, regulatory, grid-curtailed — each shutdown type affects availability and cost differently. Wit surfaces how your operations team classifies them versus how finance accounts for them. The gap is always larger than expected.
Adaptation 03
Environmental data sources inventoried at discovery
Wit maps every environmental reporting input — meters, lab samples, fuel records, grid import data — and identifies which are automated, which are manual, and which are estimated. The compliance architecture is built on the real inventory.
Adaptation 04
Remote site data quality assessed honestly
Wit interviews remote site staff about data collection realities — connectivity, manual entry discipline, system uptime. The architecture accommodates the real data environment, not the theoretical one.
Adaptation 05
Predictive maintenance candidates identified at discovery
Wit asks which maintenance data your engineers actually use to anticipate failures versus which is collected for compliance. The reliability architecture starts from the data people trust, not the data the system produces.
A Necessary and Sufficient Architecture for energy and mining reporting.
WizEmp delivers in Microsoft® Power BI®. Once the Shield of Truth™ is signed, our team builds a Power BI Cockpit connecting every report in your workspace. For energy and mining operators, the Cockpit links reports that serve three master requirements: operational performance, asset reliability, and environmental compliance — all drawing from a single governed data layer.
Every report follows the Overview–Exploration–Detailed structure. A CEO sees fleet availability in 10 seconds. A reliability engineer drills to a specific asset’s maintenance history in 2 minutes. Same architecture. Two entry points.
Power BI Cockpit · Energy & Mining Configuration
Your navigation hub: connecting every report in your workspace
Production HUD
Cost per Unit
Asset Reliability
Environmental & ESG
Safety Dashboard
Financial HUD
“In energy and mining, the most dangerous assumption is that the data in your historian and the data in your ERP describe the same reality. Wit surfaces the reconciliation problem before any architecture is decided. The Data Dictionary names every definition gap — and every signed resolution.”
Every function at your operation. One coherent data architecture.
Operations & Control
Production volumes, availability factors, and shutdown logs — reconciled to financial impact in the same view. Not a second engineer’s spreadsheet.
Maintenance & Reliability
MTBF, MTTR, backlog aging and critical asset health — connected to the cost model. Your reliability engineers make the case for capex with data.
Environment & Compliance
Carbon intensity, water, waste and regulatory status — assembled automatically, not from an email chain every quarter. Your compliance team signs off on data, not on collection.
Finance & Planning
Cost per unit reconciled to operations. LOM plan vs. actual. Capex tracking against approved budget. Finance and operations finally looking at the same numbers.
Let’s talk about your SCADA-to-finance gap.
Most energy and mining BI projects stall on the reconciliation problem — SCADA says one thing, ERP says another, and nobody has built the architecture to bridge them. Wit maps that gap before any report is designed.
Schedule a Discovery CallJust a conversation. Specific to energy and mining operations.