Digital maturity quiz

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1. Which best describes your organization?

Single-site industrial operation Multi-site industrial group Infrastructure or utility operator Mixed-use industrial facilities

2. What type of energy do you use most across your site(s)?

Electricity Natural gas Thermal energy (steam, hot water) A combination of multiple energy vectors

3. Which activity consumes the most energy on your site(s)?

Core production processes Auxiliary systems (HVAC, compressed air, utilities) Logistics and material handling Support services and infrastructure Other

4. Which process consumes the most energy in your facility?

5. How detailed is your visibility on energy consumption?

Only site-level data (bills, main meters) Partial visibility by area or line Asset- or process-level data Real-time, granular visibility

6. Is energy consumption correlated with production or operational data?

No correlation Manual correlation (spreadsheets, periodic checks) Partially automated correlation Fully integrated and continuous

7. How do you manage energy consumption during downtime or standby?

Not monitored Identified occasionally Monitored but not actively optimized Actively managed and optimized

8. Which tools support your energy management?

No dedicated tools Basic monitoring systems Multiple tools not fully integrated Integrated EMS supporting operational decisions

9. To what extent is energy management integrated into your digital infrastructure?

Not integrated Loosely connected to other systems Integrated with selected operational systems Fully integrated across energy, assets, and production

10. How well does your current energy management approach scale across sites or assets?

Not scalable Scales with significant manual effort Partially scalable Designed for multi-site operations

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Key digitalization drivers for business growth

Visibility

Implementing real-time monitoring with EMS to provide granular, machine-level insight into energy flows, idle consumption, and process inefficiencies, enabling precise identification of energy loss points and informed operational interventions.

Optimization

Leveraging AI-driven analytics to detect waste and prevent anomalies, aligning energy usage with production demand, improving system efficiency, and ensuring optimal deployment of resources across processes and assets.

Performance

Converting data-driven insights into operational improvements across the plant to enhance energy efficiency increase throughput and deliver measurable gains in process reliability and cost reduction.

Maximize efficiency and growth with digitalization

Test your level of digitalization and discover strategies to increase efficiency in your business.

Energy & Digital Efficiency Assessment

Digitalization in numbers

Operational precision

Energy efficiency

Reduced outage

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