Success StoriesData Governance Transformation for Global Chemical Industry Leader
One of the world’s largest producers of polymers – inventor and leader in chemistry
Business Need
Objectives Driving Transformation
A global chemical industry leader undertaking restructuring required accurate, trusted data to sustain business-critical decision-making across production, procurement, and finance. Inconsistent master data and fragmented governance processes were creating operational bottlenecks that constrained efficiency and increased risk. Leadership prioritized building a scalable data governance and master data management (MDM) foundation that would both protect institutional knowledge and enable long-term modernization, analytics, and AI initiatives – while rationalizing an increasingly costly and overlapping tool landscape.
- Improve data accuracy supporting production and procurement operations
- Eliminate data-driven bottlenecks impacting operational efficiency
- Preserve critical institutional knowledge during workforce transition
- Establish scalable governance and MDM capabilities for future modernization
- Reduce technology spend across fragmented and redundant platforms
- Enable trusted reporting and enterprise-wide data confidence
Establish a trusted, governed data foundation to protect operational continuity, unlock multimillion-dollar efficiencies, and reduce technology redundancy during enterprise restructuring.
Challenge
Barriers to Progress
Years of incremental technology adoption had created a fragmented governance ecosystem with six or more disconnected tools delivering limited enterprise value. Governance practices varied across business units and relied heavily on tribal knowledge. Inaccurate SAP customer, supplier, and materials data led to procurement errors and production delays. Despite significant investment, unreliable data lineage and inconsistent quality controls eroded trust in reporting and put tens of millions in potential operational savings at risk.
- Multimillion-dollar efficiency gains dependent on cohesive governance and MDM
- Procurement errors and production delays driven by inaccurate SAP master data
- Governance practices dependent on individual expertise rather than standardized controls
- Risk of losing decades of operational knowledge as long-tenured employees exited
- Six or more costly, fragmented tools with overlapping capabilities
- Limited lineage transparency and inconsistent data quality processes
Solution & Results
What Paradigm Enabled
Paradigm designed and implemented an integrated data governance and MDM framework centered on clean, governed SAP customer, supplier, and materials domains. The engagement consolidated overlapping tools, introduced automated lineage and standardized governance workflows, and embedded institutional knowledge into formalized processes. Delivered in just 12 weeks, the program combined technical deployment with hands-on enablement to establish internal ownership and sustainable operating practices.
- $500K+ annual technology savings through tool rationalization (Alation consolidated into CDGC)
- $150K annual savings by replacing ZenOptics with Informatica Data Marketplace
- Accelerated decision-making through automated lineage and standardized governance workflows
- Improved operational accuracy across procurement and production through governed SAP master data
- 12-week deployment accelerating governance and MDM time-to-value
- Institutional knowledge preserved and embedded into repeatable governance processes
- Internal capability established through hands-on enablement and ownership transition
The transformation repositioned data governance as a strategic enterprise capability—providing the scalable, trusted data foundation required to sustain modernization, support AI-driven innovation, and capture long-term operational efficiencies.
$500K+
Annual technology savings
12-week
Time-to-value