Operational Intelligence
Turn operational data into better decisions — in real time.
Connect production, energy, assets and finance in one continuously updated view of plant performance.
InAnalytics helps manufacturers understand what is happening now, what is driving the result and where the plant is expected to finish.
Know where you are. Know where you will finish.
Most manufacturers have the data they need — but it is distributed across PLCs, SCADA, MES, ERP, historians, spreadsheets and energy systems.
Operational Intelligence connects these sources and transforms them into one coherent model of plant performance.
See continuously:
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production output and plan execution,
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operating costs and profitability,
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energy consumption and cost,
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asset availability and process constraints,
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losses, anomalies and improvement potential,
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month-end and year-end forecasts.
Move from disconnected reports to a shared operational picture — while there is still time to act.
The missing layer between operations and finance
Production systems explain what the plant is doing. Financial systems explain what it has cost — usually after the accounting period has closed.
Operational Intelligence connects both perspectives.
It translates production events, energy use, material consumption, downtime and process performance into their operational and financial impact. Managers, engineers and finance teams work from the same current picture instead of separate versions of reality.
Real-Time Operational Balance Sheet
Your plant’s operating result — continuously updated.
The InAnalytics Operational Balance Sheet combines actual performance, plans, historical patterns, forecasts and simulations in one model.
Monitor:
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production volume and value,
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variable and fixed operating costs,
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energy and material costs,
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yield, waste and quality losses,
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asset availability and downtime impact,
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contribution margin and operating result,
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plan versus actual execution,
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expected month-end and year-end outcome.
See not only what the plant has achieved, but what it is currently expected to deliver.
From data to operational decisions
See the result now
Continuously calculate production, energy, cost and margin performance using live plant data.
Understand what drives it
Identify the processes, assets, products and cost factors responsible for changes in output and profitability
Compare plan and actual execution
Detect deviations early, understand their causes and assess whether the operational and financial targets remain achievable.
Identify improvement opportunities
Quantify downtime, inefficiencies, excessive energy use, yield losses and other sources of unrealized value.
Forecast where the plant will finish
Combine actual results with production plans, expected operating conditions and historical performance to forecast month-end and year-end outcomes.
Simulate before you act
Compare alternative production schedules, energy strategies, asset configurations and operating scenarios before making a decision.
One operational model for the entire plant
Production
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Production plans and actual output
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Lines, processes, products and batches
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Throughput, cycle time and capacity utilization
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Yield, scrap, rework and quality
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Bottlenecks and production constraints
Assets
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Equipment status and operating modes
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Availability, downtime and maintenance events
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Performance degradation and anomalies
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Utility and infrastructure dependencies
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Technical operating limits
Energy and utilities
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Electricity, gas, heat, steam, compressed air and water
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Energy prices, forecasts and purchasing structures
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Energy intensity per product, batch or tonne
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Peak demand and contracted-power exposure
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Boilers, CHP, renewables and storage
Costs and value
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Materials, energy and variable production costs
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Fixed costs and cost-centre allocation
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Product and production value
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Contribution margin and operating result
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Financial impact of deviations and losses
Plans and conditions
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Annual, monthly, daily and shift plans
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Orders and delivery commitments
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Market prices, commodity prices and exchange rates
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Weather and demand forecasts
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Alternative operating scenarios
Decisions Operational Intelligence supports
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Are we on track to meet the production and financial plan?
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What is driving today’s operating result?
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Where are we losing output, energy or margin?
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Which process or asset is constraining profitability?
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What will the month-end result be if current conditions continue?
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How will downtime affect production, cost and customer commitments?
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Which production schedule delivers the best economic result?
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Should output be increased now or shifted to another period?
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How will changes in energy or material prices affect profitability?
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Which improvement opportunity has the greatest measurable value?
Operational Intelligence for every level of the organization
Management
A current view of operating performance, profitability, risks and expected results.
Production
Plan execution, constraints, losses and the next actions required to protect output.
Energy
Consumption, cost, forecasts and opportunities to coordinate energy with production.
Maintenance
The production and financial consequences of failures, downtime and asset condition.
Finance and controlling
An operational explanation of cost, margin and forecast changes before the month closes.
Continuous improvement
A quantified pipeline of losses and improvement opportunities based on trusted data.
Built on your existing systems
Operational Intelligence does not replace PLC, SCADA, MES, ERP or BI. It connects them.
The InAnalytics Data Platform integrates industrial, business and external data into a consistent operational model.
Connect:
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PLCs, industrial controllers and measurement devices,
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SCADA, DCS, MES, LIMS and historians,
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ERP, CRM, SQL databases and ODBC sources,
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OPC UA, Modbus TCP/RTU, M-Bus and REST APIs,
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Excel, CSV, PDF, XML and JSON,
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energy markets, weather services and commodity data.
Use PostgreSQL and open BI tools such as Grafana, Power BI, Metabase and Looker Studio. Retain full control over your data, algorithms and deployment — from a focused pilot to an enterprise-wide solution.
Typical Operational Intelligence applications
Management Cockpit
A concise real-time view of production, cost, margin, energy and forecast performance.
Plan-versus-actual control
Monitor execution across annual, monthly, daily and shift plans and identify deviations early.
Operational profitability
Connect physical production performance with cost and value to calculate the current operating result.
Production and energy optimization
Coordinate production schedules with energy prices, utility constraints and plant demand.
Bottleneck and loss analytics
Identify the processes, assets and operating conditions limiting throughput and profitability.
Forecasting and simulation
Estimate future results and compare alternative operating scenarios before implementation.
Anomaly detection
Detect unexpected changes in production, energy use, process behaviour, quality and asset efficiency.
Executive and operational reporting
Deliver consistent KPIs, forecasts and explanations for management, operations and controlling.
A practical path to Operational Intelligence
1. Define the decision
Select the operational or financial question with the greatest business value.
2. Connect the data
Integrate the necessary production, energy, asset, business and external sources.
3. Build the model
Create a trusted operational representation of plans, actual performance, costs and dependencies.
4. Deliver insight
Provide real-time KPIs, forecasts, explanations and alerts to the people responsible for the result.
5. Optimize and improve
Simulate alternatives, implement recommendations and measure the achieved value.
Start with one high-value operational question.
You do not need to replace your existing systems or begin with a large transformation programme.
Start with one plant, one process or one decision. We connect the relevant data, build a working operational model and quantify the value that better decisions can create.
One-Day Operational Intelligence Assessment
In one day, we identify:
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the decisions with the greatest operational and financial impact,
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the data already available in your plant,
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the most important gaps and integrations,
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opportunities for forecasting, simulation and optimization,
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a practical pilot scope and recommended next steps.
Schedule an Operational Intelligence Assessment