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Product Information Management

Stibo Systems partner community

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The Partner Community provides you with the tools, benefits, contacts and resources to improve your knowledge of Stibo Systems and master data management.

PwC and Stibo Systems: The Foundation for Scalable AI and Growth

PwC is a tech-forward, people-empowered network of 364,000+ professionals across 136 countries and 137 territories, helping organizations deliver strategy-led transformation with measurable outcomes. Our Data & Analytics Consulting Practice brings together specialists in data strategy, governance, cloud modernization, advanced analytics, AI, and Master Data Management (MDM).

PwC and Stibo Systems collaborate to create a single, governed view of critical master data—product, customer, supplier, location, and more—and activate it across channels, functions, and ecosystems. Together, we combine PwC’s business-led transformation, risk-and-controls rigor, global reach, and accountable delivery model with Stibo’s leading multi-domain MDM capabilities to help accelerate time-to-value, improve data quality, strengthen compliance, and enable better decisions at scale.

For CDOs, CIOs, and strategy leaders, this global collaboration turns trusted data into measurable growth - as commerce shifts from human clicks to autonomous agent actions.

Data & AI Strategy
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Advise executive leaders on shaping an enterprise Data & AI strategy by assessing current maturity, aligning a future-state vision to business priorities, and defining the operating model, investment plan, and phased roadmap required to scale analytics and AI with measurable value.
Master Data Management
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Deliver AI-enabled MDM solutions embedded within ERP and data transformations, using intelligent matching, enrichment, and governance to help drive trusted master data at scale.
Agent Readiness
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As decision velocity and scale exceed human oversight, PwC enables agentic commerce by scaling strategy, master data capabilities and collective intelligence responsibly for realizing business value at speed.
Data & AI Governance
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Extends traditional data governance to include AI-specific requirements like bias monitoring, model transparency, and regulatory compliance (e.g., EU AI Act, GDPR), confirming trustworthy, auditable, and secure AI data outputs.
Data Quality & Data Readiness
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Design and implement data profiling, baselining, and remediation across critical data elements; automate validation, rule enforcement, and monitoring to confirm data is fit-for-purpose and ready for migration, analytics, and AI at scale.
Data Modernization
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Modernize data foundations and cloud approaches to improve resilience and accessibility - supporting enterprise- data standards, improved trust, faster delivery of insights and digital experiences.