What is Nexen Analytics?
Nexen Analytics is an advanced analytics module that transforms production, operational, and energy data into actionable insights. By leveraging machine learning and advanced data processing, it identifies patterns, detects anomalies, and enables data-driven optimization of industrial processes and resource consumption.
The platform integrates seamlessly with modern data environments such as Snowflake and Databricks, enabling scalable data management and advanced analytics. It connects data from systems like EMS, MES, ERP, and SCADA, helping organizations improve efficiency, support predictive use cases, and make smarter operational decisions.
Key features of Nexen Analytics
Advanced industrial data analytics
Applies machine learning and advanced analytics to production, operational, and energy data to uncover patterns, inefficiencies, and optimization opportunities.
Integration with modern data platforms
Seamlessly integrates with platforms such as Snowflake and Databricks for scalable data engineering and advanced analytics.
Flexible deployment
Available as a cloud-based (Azure) or on-premises solution, seamlessly integrating with existing IT and OT systems and environments.
High-volume real-time data optimization
Architected to efficiently process large volumes of streaming and operational data in real time, ensuring scalable performance and reliable analytics even in demanding industrial environments
Predictive analytics and forecasting
Uses AI models to forecast operational trends, energy consumption, and key performance indicators to support proactive planning and optimization.
Anomaly detection and automated alerts
Automatically detects deviations from normal operational patterns and triggers alerts via email, SMS, or in-platform notifications to enable rapid response.
Open analytics and dashboarding
Enables interactive dashboards and self-service analytics using open BI tools like Apache Superset, with direct access to data in platforms such as Snowflake or Databricks.
Cross-system data integration
Aggregates data from systems such as EMS, MES, ERP, SCADA, and IoT platforms, creating a unified analytical environment.
Infrastructure cost optimization
Solutions are designed to minimize infrastructure costs by selecting the right technologies and architectures while maintaining performance and scalability.
AI conversational analytics agents
Interact with your data using natural language—ask questions about operational, production, or energy performance and receive instant analytical insights.
Infrastructure and cloud cost optimization (FinOps)
Designs cost-efficient architectures and applies FinOps practices to monitor, control, and optimize cloud and infrastructure costs while maintaining performance and scalability.
Security and NIS2 compliance
Implements enterprise-grade security and access control mechanisms aligned with NIS2 requirements to ensure secure data processing and protection of critical operational systems.
Business benefits of Nexen Analytics
Turn operational data into actionable insights
Nexen Analytics transforms production, operational, and energy data into clear insights. This enables faster, data-driven decisions that improve operational performance.
Improve operational efficiency
Advanced analytics identifies inefficiencies, performance gaps, and optimization opportunities across processes. This helps organizations improve productivity and resource utilization.
Detect anomalies and issues earlier
Machine learning models automatically identify unusual patterns and operational deviations. Early detection helps teams resolve issues before they impact operations.
Enable data-driven decision-making
Centralized dashboards and analytics provide clear visibility into operational and energy performance. This allows managers to make informed decisions based on reliable data.
Support predictive and optimization use cases
Predictive analytics and trend analysis help forecast operational performance and resource needs. This enables proactive planning and continuous improvement.
Scale analytics across the organization
Cloud-based deployment and integration with modern data platforms allow analytics capabilities to scale across multiple systems, sites, and teams.
Parking occupancy monitoring and analytics for smart cities
- Limited visibility into parking space availability across the city.
- Inefficient use of parking infrastructure due to uneven occupancy across zones.
- Increased traffic congestion caused by drivers searching for available parking spaces.
- Lack of reliable historical data to support urban mobility planning and parking policy decisions.
- Difficulty monitoring parking utilization trends over time.
The solution: Nexen Analytics
How it works:
- IoT-based occupancy detection: LoRaWAN sensors installed in individual parking spaces detect whether a vehicle is present or absent.
- Real-time data transmission: Sensor data is transmitted via LoRaWAN gateways to the Nexen platform for centralized processing and analytics.
- Centralized analytics dashboards: Nexen Analytics visualizes occupancy rates, parking availability, and utilization trends across zones, streets, and districts.
- Live parking monitoring: City operators can monitor parking occupancy in real time through interactive dashboards and maps.
- Trend and utilization analysis: Historical data analysis helps identify peak usage times, underutilized zones, and long-term parking patterns.
- Data-driven planning: Insights from the platform support smarter decisions on pricing policies, infrastructure investments, and traffic management strategies.
Result:
With Nexen Analytics, cities gain reliable data on parking occupancy across their entire parking network over time. This enables better traffic management, improved utilization of parking infrastructure, and data-driven urban planning. Additionally, real-time parking occupancy data can be used to build applications that help drivers find available parking spaces.
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