Before01
Company profile
- 40% of sales in Europe
- No in-plant measuring
- Scope 3 unprovable
GX
CORA
Circular Operations for Resource Assessment
A data optimization platform for trustworthy data
OVERVIEW
Instead of producing carbon data separately,the data the plant already emits is brought up to standard
It starts by setting out what is emitted, where and how much, in a form that can be measured.
KEY CAPABILITIES
Four capabilities that make up the carbon data pipeline
From the data inventory through infrastructure and integrated collection to AAS-based interoperability.
Capability Index04
Carbon Data Capability
01 / 04
01
Building a data inventory
Building the infrastructure
Data collection and integrated operation
Data interoperability
We systematically identify and catalog the location, form and character of the company's internal data assets. Beyond simply gathering data, we clearly define what data exists where, and how it should be used, for carbon emission accounting and production efficiency optimization.
Management Scope
- Unit definition
- Process flow
- Data catalog
- System boundary
- Governance design
Data inventory
Every data asset in the organization is located, listed and its state recorded.
SYSTEM ARCHITECTURE
What it connects,and the work it leads to
From the data that goes in to the results on the floor.
01 / INPUT
01Data inventorySite · process · input · output
02Source systemsMetering · MES · ERP · manual records
03Standard criteriaUnit · item · boundary · asset ID
CONNECTED OPERATIONS
EcoLine CORA
Define data location and form
Operate collection, validation, integration
Structure assets on AAS
03 / OUTPUT
✓Standard activity dataData checked for duplicates and gaps
✓Manufacturing digital assetsAsset · submodel · property
✓Environmental data linkageUsed for COTO calculation and reporting
01 / INPUT
01Data inventorySite · process · input · output
02Source systemsMetering · MES · ERP · manual records
03Standard criteriaUnit · item · boundary · asset ID
CONNECTED OPERATIONS
EcoLine CORA
Define data location and form
Operate collection, validation, integration
Structure assets on AAS
CONNECTED OPERATIONS
EcoLine CORA
Define data location and form
Operate collection, validation, integration
Structure assets on AAS
03 / OUTPUT
✓Standard activity dataData checked for duplicates and gaps
✓Manufacturing digital assetsAsset · submodel · property
✓Environmental data linkageUsed for COTO calculation and reporting
Linked by common identifiers, master data and historyResults checked → fed into the next run
Who uses itEnvironmental data staffOn-site metering staffIT and data managers
A high-quality data pipeline that delivers optimal carbon management
Steel and metal manufacturing
Automotive and batteries
Advanced industries
Defense and aerospace
Chemical industry
Construction industry
Steel and metal manufacturing
Automotive and batteries
Advanced industries
Defense and aerospace
Chemical industry
Construction industry
FUNCTION MAP
Function map
How carbon data runs from collection through calculation to reporting.
01 · Reference Data
Reference data
Code systems, emission factors and pollutant items — the reference data used across the whole calculation — are standardized.
Sub-functions10
Function groups2
Set up7
Review3
INPUTRegistered
CORAStandardized
OUTPUTUsed everywhere
Sub-functions
Functions 10 · Groups 2
Set up7
Review3
SUB-FUNCTION INFOGRAPHIC
Reference data · Common code management
Common code management
Code systems used in calculation are standardized so every aggregation reads on the same basis.
- 01INPUTCodes and classifications
- 02CORA PROCESSRegistered and standardized
- 03OUTPUTCodes shared across modules
Module flowRegistered → Standardized → Used everywhere
PROCESS
Build process
From preparation to data exchange, and what each stage leaves behind.
Preparation and infrastructure survey
- Customer requirements confirmed
- Equipment and network inspected
- Compatibility with existing systems checked
Data inventory definition
- Target products and processes identified
- Inputs and outputs listed
- Manufacturing and utilities separated
Infrastructure build and data collection
- Layout documented and sensors installed
- Communication protocols standardized
- Data collection and monitoring
Data exchange and access control
- Data converted for the platform
- AAS model access scope set
- Client whitelist registered
EFFECT
Business impact
What it leaves behind — in cost, reporting time, regulatory readiness and staffing effort.
- 01
Cost savings
System boundary, infrastructure and the AAS conversion engine are put in place in one go, brought in-house as a lasting capability, and a new regulation is met by extending what exists rather than reinvesting.
Scope of buildin-house capabilityreinvestment - 02
Less time spent aggregating data and writing reports
Integrated infrastructure shortens data collection, regulatory reports are issued faster, and the hours spent on manual, repetitive administration fall away.
Collection timeissuing speedmanual work - 03
Regulatory response capability
Heavy carbon tax penalties are avoided, revenue lost by being dropped from a supply chain is prevented, and damages from customs and delivery delays are headed off.
Penaltieslost revenuedelay damages - 04
In-house specialist workload
The pressure to hire environmental specialists eases, rework spent correcting data errors shrinks, and resources for smart-factory upgrades are freed.
Hiring pressurereworkupgrade resources
CASE STUDY
Case study
Product-level carbon evidence automated into the AAS standard, keeping the European supply chain intact.
Customer industry
Automotive powertrain parts manufacturing
After02
What was built
- Boundary set to CBAM
- Sources inventoried
- Meters and ERP to AAS
Results
Build CORA and export carbon data on an international standard