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Industrial Analytics
Transform operational data into measurable performance improvement. Connect disparate systems, model asset behavior, and apply embedded analytics to identify patterns, uncover inefficiencies, and support faster, data-driven operational decisions.
The Challenge: Turning Industrial Data Into Actionable Insight
Manufacturing operations, mission-critical environments, and commercial buildings generate massive volumes of data. Raw data from disparate systems does not create value without structure, context, and integration. Lack of connectivity and contextualization limits the ability to identify trends, detect anomalies, and understand the operational drivers behind performance outcomes.
Common Challenges
- Large volumes of data collected from disconnected systems in inconsistent formats
- Manual analysis performed through spreadsheets or static reports
- Limited visibility into trends, correlations, and anomalies
- Inability to standardize and reuse analytical models
- Weak integration between analytics and operational control systems
Resulting Business Impact
- Delayed detection of performance degradation
- Reactive operational decision-making
- Inconsistent analysis across facilities and portfolios
- Missed optimization and cost-reduction opportunities
- Increased operational and compliance risk
Scalable analytics requires access to production data sources, contextual normalization, and the ability to apply standard models.
The Solution: Industrial Analytics with GENESIS
GENESIS provides an analytics framework that supports industrial organizations at every stage of analytical maturity. A configurable architecture enables progression from descriptive to predictive and prescriptive analytics without rebuilding underlying systems.
Universal connectivity, asset modeling, advanced calculations, API access, and integrated visualization convert siloed data from devices, control systems, and enterprise platforms into contextualized insight that drives measurable operational outcomes.
Common analytics applications addressed with GENESIS include:
- Data Historian - Capture, store, aggregate, and trend time-series and contextual data to support historical analysis and performance benchmarking.
- Alarm Management - Analyze alarm patterns and event sequences to identify underlying causes, reduce nuisance alarms, and support corrective action.
- Fault Detection - Apply rule-based conditions to identify equipment performance issues early and enable proactive resolution.
- Operational KPIs - Collect, calculate, standardize, and visualize key performance indicators across sites and portfolios to support consistent performance management.
- Statistics (SPC) - Automate data collection and apply statistical techniques to monitor process stability and control production variability.
- Anomaly Detection - Use Matrix Profile machine learning algorithms to detect abnormal behavior in machine data without reliance on predefined rules.
Integrated analytics capabilities enable measurable operational improvement, resilience, and performance optimization.
Click on image above to see the Utility System Overview dashboard in greater detail.
Real-World Applications
Bohr Instrument Services
Oil & Gas Drilling Operations
Bohr Instrument Services deploys GENESIS within its DRILL-PRO Total Drilling Information System to enable real-time industrial analytics across onshore and offshore drilling rigs worldwide. GENESIS connects and processes high-volume sensor inputs from drilling equipment, collecting digital and analog data from PLC-based acquisition systems under extreme operating conditions. The platform sequences, calculates, and visualizes both raw and derived drilling parameters such as rate of penetration, weight on bit, and hole volume, while delivering vertical trending and persistent historical analysis. By distributing real-time data securely to drill floor operators and remote engineering teams, GENESIS unifies field-level instrumentation with enterprise visibility, improving drilling efficiency, operational reliability, and cost control across global exploration environments.
Result highlights:
- Real-time acquisition and processing of extensive drilling sensor data under extreme operating conditions
- Calculation and visualization of derived drilling performance metrics for operational optimization
- Vertical trending with persistent and historical data storage for immediate and long-term analysis
- Distributed architecture enabling secure data transmission to on-site and remote engineering teams
- Improved drilling efficiency and reduced operational risk through actionable production analytics
"Extensive visualization of all the key parameters by the GENESIS software system helps the drilling operator to prevent problems, drill more efficiently and reduce drilling time, which translates into overall cost savings."
Bohr Instrument Services
CSL Behring
Pharmaceutical Manufacturing
CSL Behring deploys GENESIS across its FDA-approved vaccine filling and packaging facility in Marburg, Germany, to enable regulated industrial analytics, secure data logging, and long-term production traceability. GENESIS integrates production line sensors, alarm systems, and historian capabilities to capture, store, and validate critical manufacturing data in compliance with FDA 21 CFR Part 11 requirements. The platform supports electronic records, audit trails, electronic signatures, and secure data retention for up to 42 years. By unifying automation, data collection, alarm management, and enterprise connectivity, GENESIS enables validated, inspection-ready analytics while supporting high-volume vaccine production under strict regulatory oversight.
Result highlights:
- Secure, compliant production data logging aligned with FDA 21 CFR Part 11
- Long-term validated data retention supporting 42-year inspection requirements
- Enterprise-wide data collection, trending, reporting, and analysis
- Alarm monitoring and documentation of abnormal production conditions
- Secure WebHMI connectivity across intranet and internet environments
- Scalable architecture supporting 23 servers and 100+ concurrent users
"CSL Behring uses Mitsubishi Electric Iconics Digital Solutions software in its FDA-approved filling and packaging facility to bridge the gap between industrial automation and the medical field."
CSL Behring
Operational Outcomes and Business Benefits
Actionable Insights
Convert complex operational data into clear, context-rich insights that support faster, better-informed decisions.
Standardized Analytics Across Systems
Apply harmonized asset models across diverse data sources to ensure consistent analysis, reporting, and governance.
Proactive Operations
Detect performance deviations and emerging faults early to prevent disruption and protect production outcomes.
Enterprise-Scale Visibility
Extend analytics from individual assets to multi-site portfolios, enabling standardized insight at enterprise scale.
Analytics Capabilities
Universal Connectivity
Connect to industrial control systems, building automation platforms, IoT devices, historians, and enterprise applications using open standards. Ingest real-time, historical time-series, relational, and unstructured data to establish a unified analytics foundation.
Asset Modeling
Transform heterogeneous raw data into consistent, asset-centric models that contextualize real-time and historical data, alarms, faults, and metadata. Enable reusable, scalable analytic logic across systems and sites.
Native Analytics Capabilities
Leverage integrated capabilities including time-series data capture and storage, alarm management, fault detection, statistical analysis, and AI-enabled anomaly detection to support descriptive, diagnostic, predictive, and prescriptive analytics.
Integrated Visualization
Present analytic outputs within dashboards, trends, KPIs, and operational displays. Deliver role-based visibility from frontline operators to executive leadership with appropriate context for informed decision-making.
Built for Industrial Analytics at Scale
GENESIS supports industrial analytics through an architecture that scales across assets, systems, and facilities without increasing complexity. Flexible deployment models enable organizations to apply analytics locally at the edge, centrally at the enterprise level, or through a layered architecture that balances performance, resilience, and governance.
Platform capabilities support progressive adoption based on operational priorities and organizational readiness—from foundational visibility to advanced operational intelligence and closed-loop control.
GENESIS capabilities enable analytics use cases aligned with industry-recognized maturity models that progress in both technical sophistication and business value:
- Descriptive Analytics: What happened?
Dashboards, KPIs, trends, and reports summarize operational performance using consistent, contextualized data. - Diagnostic Analytics: Why did it happen?
Correlation analysis, drill-down capabilities, and fault detection isolate contributing factors and performance drivers. - Predictive Analytics: What is likely to happen?
Historical patterns and model-based analysis anticipate future conditions and emerging risks. - Prescriptive Analytics: What should be done?
Analytic outcomes inform recommended actions or automated responses that improve performance and reduce risk.
The GENESIS platform architecture enables distributed system design across single-site, multi-site, and enterprise environments. Core services operate centrally, locally at the edge, or within a multi-tier model supporting redundancy, high availability, and segmented responsibilities. Secure separation between data sources, operational services, and client access maintains governance consistency while allowing flexibility in deployment.
Ready to Learn More?
GENESIS Platform Brochure
Learn how the GENESIS platform unifies data sources with asset modeling to provide analytics across industrial and building environments.
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Turn Data Into Insight
Unlock the value of your operational data with GENESIS.