Centric helps organizations establish strong data governance and master data management foundations that ensure data is trusted, secure, and consistently managed across the enterprise. Our Data Governance & Master Data Management services focus on frameworks, ownership, quality, and compliance-enabling reliable analytics and responsible data usage.
As data volumes and sources grow, organizations often face challenges related to inconsistent definitions, poor data quality, unclear ownership, and compliance risk. Without governance and master data management, analytics initiatives struggle to scale and decision-makers lose confidence in the data.
Effective data governance and MDM establish accountability, consistency, and control-ensuring that data is accurate, secure, and fit for enterprise use.
We design governance models that define ownership, stewardship, policies, and decision rights across enterprise data assets.
We establish master data structures and processes to ensure consistent definitions of critical business entities.
We define data quality rules and lineage practices to improve trust, transparency, and traceability.
We align data governance with security, privacy, and regulatory requirements to ensure compliant data usage.
We design data governance frameworks that define roles, responsibilities, policies, and operating models to ensure data is managed consistently across the organization.
Establishing clear data ownership and stewardship models to ensure accountability, quality, and governance across the organization’s data assets.
Establishing a governance operating model and councils to provide structured oversight, decision-making, and accountability for data management across the organization.
Defining policies, standards, and decision rights to ensure consistent, compliant, and effective management of data across the organization.
Aligning data governance and master data management practices with the enterprise strategy to drive consistency, support business objectives, and ensure data-driven decision-making.
We establish master data management practices that standardize and synchronize core business entities such as customers, products, vendors, and locations across systems
Identifying master data domains to establish clear data ownership, improve consistency, and ensure accuracy across critical business processes.
Establishing standardized definitions and hierarchies to ensure consistency, clarity, and alignment across master data management processes.
Ensuring synchronization across source systems to maintain consistency, accuracy, and real-time alignment of master data across the organization.
Establishing clear ownership and lifecycle management processes to ensure the integrity, accuracy, and ongoing governance of master data throughout its lifecycle.
We define data quality rules, monitoring approaches, and lineage practices that make data issues visible and traceable, improving confidence in analytics and reporting.
Defining data quality dimensions and rules to ensure accurate, consistent, and reliable master data across the organization.
Implementing monitoring and issue management processes to proactively identify, track, and resolve data quality and governance challenges.
Establishing end-to-end data lineage to provide full visibility into data flow, transformations, and dependencies across the organization.
Conducting impact analysis and ensuring traceability to assess data changes, understand their effects, and maintain data integrity throughout its lifecycle.
We align governance and MDM practices with security, privacy, and compliance requirements to ensure data is accessed and used appropriately across the organization.
Implementing data classification and sensitivity frameworks to ensure proper handling, security, and compliance of sensitive data across the organization.
Establishing access control and segregation of duties to ensure secure, compliant, and appropriate access to master data across systems and users.
Ensuring privacy and regulatory compliance by implementing data governance practices that adhere to relevant laws and industry standards.
Establishing auditability and controls to track data changes, ensure compliance, and provide transparency in data governance processes.
At Centric, we help organizations harness Microsoft Copilot and M365 AI to transform the way people work. By embedding AI directly into everyday tools like Microsoft 365, we enable smarter collaboration, faster decision-making, and increased productivity. Our experts guide you from strategy to adoption, ensuring Copilot is securely implemented, responsibly governed, and aligned with your business goals to deliver real, measurable impact.
We assess current governance maturity, data quality issues, and compliance requirements.
We define governance frameworks, master data domains, and quality standards.
We help operationalize governance and MDM practices across people, processes, and technology.
Reliable analytics and AI depend on trusted data. Centric’s Data Governance & Master Data Management services help organizations establish the controls and structures needed to manage data responsibly at scale. Engage our experts to design and implement a data governance and MDM foundation aligned with your enterprise needs.
Centric offers Data Governance & Master Data Management services to ensure your organization’s data is accurate, secure, and compliant. We help implement robust data governance frameworks, enabling you to maintain data quality, integrity, and consistency across your organization. Our solutions also focus on managing your master data efficiently, ensuring that all departments and systems are aligned with a single, trusted version of the truth, empowering data-driven decisions and business transformation.
• Improved trust in enterprise data
• Consistent definitions across systems and reports
• Reduced data quality issues and rework
• Stronger security and compliance posture
• Scalable governance foundation for analytics and AI
• Organizations struggling with data consistency and quality
• Enterprises in regulated industries
• Data and IT leaders establishing governance
• Businesses scaling analytics and AI initiatives
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This service focuses on frameworks and operating models; tool implementation may be addressed separately.
No. Governance is valuable for organizations of all sizes as data complexity grows.
Yes. Governance and MDM are aligned with security, privacy, and compliance requirements.
Initial frameworks can be defined in weeks, with operational maturity developed over time.
Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.
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Spanning 8 cities worldwide and with partners in 100 more, we're your local yet global agency.
Fancy a coffee, virtual or physical? It's on us – let's connect!
