Industrial Analytics for the Chemical Industry

Process Optimization with Industrial Analytics

Leverage Data for
Better Operations

Chemical manufacturing companies face increasing demands to maintain safe, sustainable, and compliant operations while managing complex processes. As the industry navigates regulatory requirements and competitive pressures, there is a constant need to optimize production processes, reduce resource consumption, and ensure operational reliability.

Process experts must adopt advanced technologies to enhance efficiency and drive performance improvements. But do they have the right tools to fully harness the vast amounts of data generated across their facilities? Can chemical engineers and plant operators access actionable insights to make data-driven decisions while sharing best practices across the enterprise?

Explore our Solutions

Our industry-specific solutions are designed to tackle the unique challenges faced by the chemical manufacturing sector. By leveraging advanced analytics, we empower chemical companies to optimize production processes, enhance operational efficiency, ensure regulatory compliance, and drive sustainability initiatives across their organization.

Batch Analytics

Engineers can analyze good and bad batches to reduce cycle time and improve product quality using golden batch fingerprints.

Continuous Processes Analytics

Embrace the value of digital technology to build operational resilience, reduce cost and increase plant safety.

Asset Analytics

Make advanced analytics part of your suite of license-to-operate tools and significantly improve operational performance.

Gained Value by our Customers

Root Cause Analysis to Avoid Waste
Gas Emission

In today's industrial landscape, sustainability and operational efficiency are key to maintaining a competitive edge. Emissions, especially waste gas emissions, are not only harmful to the environment but also lead to significant operational inefficiencies. Through TrendMiner's advanced root cause analysis, process engineers can detect patterns in real-time, swiftly identifying and resolving issues that lead to emissions. By leveraging historical process data, the platform helps manufacturers minimize waste, optimize processes, and ensure regulatory compliance, all while reducing their environmental footprint. Empower your team with the tools to achieve cleaner, more efficient production lines.

Batch Comparison and
Live Monitoring

In process manufacturing, ensuring consistency across batches is critical for maintaining product quality and meeting production goals. TrendMiner offers batch comparison and live monitoring tools that allow operators to analyze batch-to-batch variations in real-time. With intuitive visualizations and pattern recognition, users can track live performance against historical data, instantly spotting anomalies and making adjustments on the fly. This capability ensures that manufacturers can achieve consistent quality, reduce downtime, and optimize resource utilization across production runs.

Creating an Anomaly
Detection Model

Proactive anomaly detection is crucial for avoiding costly downtime and maintaining smooth operations. TrendMiner enables process experts to create custom anomaly detection models based on historical data, without the need for data science expertise. Using advanced pattern recognition and real-time monitoring, the platform detects deviations from normal operations, triggering alerts before issues escalate. This model-free approach empowers operators to prevent failures, optimize maintenance, and ensure continuous operational efficiency.

Developing Energy Balance Models for
Condition-Based Monitoring

Energy efficiency is a top priority for industries striving to reduce costs and minimize environmental impact. With TrendMiner, developing energy balance models becomes straightforward, helping you track and optimize energy consumption in real-time. By analyzing process data, the platform provides insights into energy imbalances and identifies opportunities for improvement. Condition-based monitoring ensures that equipment is operating within optimal parameters, leading to reduced energy waste, lower costs, and improved sustainability.

“The use of data analytics tools in production is a clear business case. Tests with TrendMiner have proven this...With the successful roll-out, LANXESS is now leveraging the optimization potential throughout the Group.”

Jörg Hellwig, CDO of LANXESS
Watch this interviewwith Jörg Hellwig “why self-service analytics is important for LANXESS”

TrendMiner’s Added Value

Analyze Anything, Anytime, Anywhere for Everyone

TrendMiner’s self-service analytics capabilities help to discover what is happening, analyze why anomalies ocured and predict what is likely to happen. Through extensive but easy to use search capabilities, such as pattern based similarity search and compare tables, to anomaly detection and recommendations.

Make Operational Decisions Faster and with Confidence

The TrendMiner platform is fast, powerful and intuitive for everyone in operations to get insights on any part of the production process. Pattern analysis reduces the complexity & simplifies interpretation of analysis results, while dashboards can be created without technical assistance so everyone can take action based on the data.

Collaborate Globally & Share Captured Knowledge

The created value from a wide variety of use cases and solutions can be shared and rolled out globally for maximizing value from the TrendMiner platform. Capabilities such as monitoring and alerting, dashboards and reports optimize knowledge capturing, sharing and collaboration at each level of the organization.

Transforming the Chemical Industry

Our advanced analytics software helps the chemical industry optimize their operations and improve efficiency.