01
Can commercial demand and operational capacity be seen together?
Connect customer demand, production volume, inventory, maintenance and capacity instead of managing them in separate views.
Analytics & Decision Intelligence
Supply Chain & S&OP Analytics
Connect demand, production, inventory, maintenance and customer information into one planning view so S&OP decisions are made from shared evidence.
NoèmeX works with organizations to build analytical environments for Sales and Operations Planning across complex, multi-site operations. We integrate demand, production, inventory, maintenance and customer data, standardize planning metrics and create the analytical foundation for forecasting and proactive resource decisions.
The work is particularly valuable where plants or business lines operate different systems and local data structures, making consolidated planning difficult at regional or enterprise level.
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 supply chain & s&op 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
Which planning metrics need one enterprise definition?
Standardize S&OP measures and hierarchies across plants, regions and business lines.
03
Where are manual planning processes slowing decisions?
Identify reconciliation, refresh and forecast activities that can be automated or simplified.
04
What data is required for predictive planning?
Establish the historical, customer and operational data foundation needed for demand forecasting and scenario analysis.
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
S&OP analytics assessment
A map of planning processes, source systems, KPIs, data structures and manual reconciliation points.
02
Integrated S&OP data model
A governed model connecting demand, production, inventory, maintenance and customer dimensions.
03
Planning KPI framework
Standard measures for demand, capacity, inventory, production, service and forecast performance.
04
S&OP control-center dashboards
Role-specific views for enterprise, regional and plant-level planning decisions.
05
Automated refresh and orchestration
Data pipelines that reduce manual consolidation and provide timely planning information.
06
Forecasting analytics foundation
Historical data, segmentation and feature structures that support predictive demand planning.
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.
Multiplant S&OP100+ plantsChemical industry · S&OP transformation
A unified S&OP view across a multinational plant network
A multinational chemical manufacturer operating more than 100 plants across Canada and the USA had fragmented planning data across SCADA, PI, PRiSM, Tibco Spotfire and internal systems. NoèmeX unified the data model, standardized S&OP metrics, automated hourly refreshes and introduced predictive demand forecasting to support production, inventory and maintenance planning.
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.
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Supply Chain & S&OP 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.