Case Study: Nuclear Power Plant Automates Over 300 Corporate KPIs on a Unified Analytics Platform
From 150 Manual Metrics to Over 300 Automated KPIs
Integration and consolidation of operational, technical, and regulatory data in a corporate self-service BI environment.
Industry
Nuclear Power Plant
+58%
Operational Speed
↑ +300
Integrated KPIs
↑ +150
Automated Manual Processes
↑ +200
Users working with unified data
↑ Visibility
Operational Incidents
BEFORE
Metrics managed through multiple systems and manual processes.
Each area uses different metrics and criteria.
Operational and strategic monitoring requires constant consolidation.
NOW
Corporate KPIs centralized on a single analytics platform.
Consistent information in dashboards for management, operations, and regulatory compliance.
Continuous monitoring of indicators, deviations, and action plans.
THE PROBLEM
Tracking relies on manual processes and siloed systems.
- Consolidating information requires time and constant validation.
- Management lacks a comprehensive view of operational performance.
- Scaling new metrics increases complexity and the operational workload.
THE SOLUTION
Unified analytics infrastructure.
- Integration of strategic, tactical, and operational indicators.
- Automation of information collection and updating processes.
- An environment designed for corporate monitoring and continuous analysis.
THE IMPACT
A single platform for understanding the actual status of operations.
Apply this model in your organization
From reviewing metrics to using them to manage the business.
KPIs and Operational Analytics
Why is it important to centralize corporate KPIs in an industrial company?
Centralizing corporate KPIs enables management, operations, and technical departments to work with a single, consistent set of data. In complex industrial environments, such as a nuclear power plant, this reduces inconsistencies between departments, eliminates the need for manual consolidations, and facilitates more agile monitoring of operational, strategic, and regulatory performance.
What problems arise from managing metrics using siloed systems?
When metrics are managed through isolated systems, each department may use different metrics, criteria, and processes. This makes it difficult to obtain a comprehensive view of the business, increases the time spent validating data, and complicates the detection of deviations, incidents, or areas for improvement.
How does a centralized analytics platform help automate KPIs?
A centralized analytics platform allows you to integrate data from various sources, automate the collection and updating of metrics, and present the information in standardized dashboards. This reduces manual work, improves data traceability, and facilitates the continuous monitoring of strategic, tactical, and operational KPIs.
What are the benefits of self-service BI for tracking KPIs?
Self-service BI allows business users to access up-to-date metrics without having to constantly rely on manual processes or requests to the technical team. In the management of corporate KPIs, this enhances teams’ autonomy, speeds up analysis, and promotes more data-driven decision-making.
How does the continuous monitoring of indicators improve operational management?
Continuous monitoring of indicators makes it possible to detect deviations, review action plans, and understand the actual status of operations more quickly. For an industrial organization, this improves responsiveness, strengthens operational control, and facilitates more coordinated management across departments.