01
Which operational constraints need better visibility?
Identify the production, capacity, energy, maintenance or resource constraints that materially affect performance.
Analytics & Decision Intelligence
Operations & Production Analytics
Bring real-time and historical operational data together so plant and operations teams can see constraints, usage, performance and cost from one analytical foundation.
NoèmeX supports industrial and operational organizations connect data from production systems, historians, enterprise platforms and local tools into analytical environments that support day-to-day performance management and longer-term optimization.
The work can cover production, capacity, energy, resource usage, maintenance, safety and other operating measures, with governance that allows local detail and enterprise comparison to coexist.
NoèmeX perspectiveMake the system intelligible first: reveal the structure, constraints and variables that determine where change can produce the intended outcome.
Related leadership priorities
Analytics matters when it changes a decision, not when it adds another dashboard.
Use these pathways to connect analytical capabilities to the executives accountable for financial, operational, data and enterprise performance.
Questions we address
The decisions that shape the operations & production analytics work
We frame the engagement around the business, information and operating questions that must be resolved before the analytical capability can become dependable at enterprise scale.
02
Can real-time and historical information be analyzed together?
Connect current operating conditions with history so teams can understand patterns, variability and emerging issues.
03
Where are resources being underused or duplicated?
Use operational telemetry and usage data to expose idle capacity, redundant infrastructure or avoidable cost.
04
How should analytics support optimization?
Structure the data, measures and interfaces needed for engineering models, predictive algorithms and decision support.
What we deliver
A practical analytical capability that can move into operation
The exact scope depends on the organization, but the work typically produces a combination of these outputs.
01
Operational analytics assessment
A review of industrial data sources, KPIs, dashboards, historians, local tools and performance-management gaps.
02
Operations data model
A governed structure connecting plants, assets, processes, products, time, capacity and resource measures.
03
Production KPI framework
Standard performance measures for production, utilization, capacity, energy, maintenance and other operating outcomes.
04
Operational dashboards
Role-specific views for engineers, plant leaders, regional teams and executives.
05
Resource-usage analytics
Analysis of infrastructure, solver, asset or other shared resource usage to improve allocation and cost.
06
Optimization data foundation
Integrated, timely data structures suitable for predictive models, optimization algorithms and scenario evaluation.
Selected work
Evidence from a real enterprise environment
This example is drawn from the documented Global Data & BI case-study portfolio and illustrates the operating conditions behind the service.
Global production optimization70%+Chemical industry · Production optimization
Using operational analytics to redesign global resource allocation
A multinational chemical company needed to scale plant optimization across Europe, the Middle East and APAC. NoèmeX integrated real-time and historical sources including SCADA and enterprise historians, parsed platform usage logs and built analytical views that demonstrated how solver resources could be shared globally, contributing to more than 70% reduction in solver and infrastructure costs.
Read the case studyRelated analytics services
Continue into the adjacent analytical capability.
These services often intersect in the same transformation program, but each has a distinct purpose and page.
How we work
Use the engagement model that fits the analytics problem.
Analytics work can begin as focused advisory and continue into project delivery, embedded support or an ongoing managed model.
Advisory
Focused support for assessment, KPI design, governance, operating decisions and analytics roadmaps before implementation commitments are made.
Read more →Project delivery
Structured delivery when analytical design needs to move into data engineering, BI development, rollout and adoption.
Read more →Embedded teams
Specialists working alongside internal teams when production support, continuous improvement and analytical continuity matter.
Read more →Your Contact Persons
Connect directly with the people responsible for this work. Explore their experience and contact options.
Zahra Fathisalout
Founder · Eng., CSP, CMLAI
Corporate governance · ASC-C.Dir. candidate
Works across strategy, enterprise transformation, data, AI and governance, bringing operational engineering experience to complex transformation decisions.
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Brendan Young
B.Com, Director of Operations
Connects transformation design with operating discipline, drawing on logistics, fulfillment and high-throughput operational leadership.
View profile →
Operations & Production Analytics
Start with the decision or performance problem that needs better evidence.
Share the business process, systems involved, current reporting or analytical constraints and the decision or operational outcome that needs to improve. Our teams can determine where the work should begin and how it connects to the wider analytics and data environment.