Consistent Data
Faster Onboarding
Lowered Costs
Case Study
Harmonized Chemical Data Across Systems
Our client, a multinational pharmaceutical company needed help improving how they manage and align chemical master data. Although SAP served as the main master data system, other departments used separate tools and models, creating a need for alignment.
What was the goal?
Establish a harmonized taxonomy
The aim was to create a harmonized taxonomy for chemicals and molecules across all abstraction levels. From generic substances to formulations. From formulations to finished compounds.
It was also important to achieve this without disrupting existing workflows.
What was getting in the way?
Lack of Alignment hindered efficiency
The client faced growing challenges in managing chemical master data across multiple departments.
While SAP functioned as the primary system, other teams used separate tools and models. This eroded trust in the data and also made onboarding new chemicals an inefficient, manual process.
Inconsistent naming, duplicates and missing relationships
Reduced data quality and trust
Manual cleansing and reconciliation
Slow onboarding of new chemicals & molecules
How was it addressed?
structure & shared ownership
By using inorigo® the client’s team was able to consolidate their organization’s data and model a comprehensive and sustainable taxonomy for chemicals and molecules.
Collaborative governance with business ownership for naming rules, uniqueness checks, and attribute completeness was established.
By implementing a validation layer before master data updates uniqueness, correctness, and compliance was ensured.
What was the result?
Consistent chemical data across the system landscape
The harmonization that was made possible by inorigo®, meant that the client could increase their data quality and efficiency.
Reducing the time to process new chemicals and molecules and being able to map chemical master data to downstream systems (LIMS, procurement) without forcing any changes to their current IT systems.
inorigo® enabled a harmonized, traceable foundation for research and compliance, unlocking productivity and innovation.
With a transparent, adaptable metadata layer, business and compliance teams can quickly respond to regulatory changes or new business opportunities—without waiting for lengthy IT projects
What was the impact?
Increased Compliance efficiency & trust
By harmonizing chemical data across systems and establishing a process, the client has been able to empower decisions and stronger purchasing leverage.
Increased GxP compliance
Higher data quality—duplicates and inconsistencies prevented at source
Faster onboarding of new chemicals with automated validation
Reduced data cleansing effort and improved ability to
leverage enterprise purchasing power for chemicals
Questions about this case or a related challenge?
Reach out anytime — we’ll gladly share more details or discuss how we can assist.
DANIEL LUNDIN
Managing Director
+46 (0)70 921 27 05
daniel.lundin[@]inorigo.com
Connect with me on LinkedIn
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Consistent Data
Faster Onboarding
Lowered Costs
Case Study
Harmonized Chemical Data Across Systems
Our client, a multinational pharmaceutical company needed help improving how they manage and align chemical master data.
Although SAP served as the main master data system, other departments used separate tools and models, creating a need for alignment.
What was the goal?
Establish a harmonized taxonomy
The aim was to create a harmonized taxonomy for chemicals and molecules across all abstraction levels. From generic substances to formulations. From formulations to finished compounds.
It was also important to achieve this without disrupting existing workflows.
What was getting in the way?
Lack Of Alignment Hindered Efficiency
The client faced growing challenges in managing chemical master data across multiple departments.
While SAP functioned as the primary system, other teams used separate tools and models. This eroded trust in the data and also made onboarding new chemicals an inefficient, manual process.
Inconsistent naming, duplicates and missing relationships
Reduced data quality and trust
Manual cleansing and reconciliation
Slow onboarding of new chemicals & molecules
How was it addressed?
Structure & Shared Ownership
By using inorigo® the client’s team was able to consolidate their organization’s data and model a comprehensive and sustainable taxonomy for chemicals and molecules.
Collaborative governance with business ownership for naming rules, uniqueness checks, and attribute completeness was established.
By implementing a validation layer before master data updates uniqueness, correctness, and compliance was ensured.
What was the result?
Consistent Chemical Data Across The System Landscape
The harmonization that was made possible by inorigo®, meant that the client could increase their data quality and efficiency.
Reducing the time to process new chemicals and molecules and being able to map chemical master data to downstream systems (LIMS, procurement) without forcing any changes to their current IT systems.
inorigo® enabled a harmonized, traceable foundation for research and compliance, unlocking productivity and innovation.
What was the impact?
Increased Compliance Efficiency & Trust
By harmonizing chemical data across systems and establishing a process, the client has been able to empower decisions and stronger purchasing leverage.
Increased GxP compliance
Higher data quality—duplicates and inconsistencies prevented at source
Faster onboarding of new chemicals with automated validation
Reduced data cleansing effort and improved ability to
leverage enterprise purchasing power for chemicals
With a transparent, adaptable metadata layer, business and compliance teams can quickly respond to regulatory changes or new business opportunities—without waiting for lengthy IT projects
Questions about this case or a related challenge?
Reach out anytime — we’ll gladly share more details or discuss how we can assist.
DANIEL LUNDIN
Managing Director
+46 (0)70 921 27 05
daniel.lundin[@]inorigo.com
Connect with me on LinkedIn
More Case Studies
Boosting AI Accuracy With Structured Product Taxonomy
When developing an AI-powered field assistant for service technicians, a client found that training solely on the product catalogue’s text data did not meet precision needs…
READ MORE
Spare Part Management
Our partner’s client, a retailer of ready-to-assemble home furnishings, needed help improving the way they manage and distribute spare parts to support product longevity and customer satisfaction…
READ MORE
Enterprise Production Asset Management
A global manufacturer operating more than 20 factories, needed to improve the management of its production assets, including buildings, machines, work centres and IoT sensors…