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 and 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 enterprise data governance frameworks that establish clear ownership, stewardship roles, data policies, and decision-rights structures ensuring every data domain has accountable custodians and enforceable standards.
We architect and implement master data management solutions that create a single, authoritative source of truth for critical business entities customers, products, suppliers, and locations eliminating inconsistencies across ERP, CRM, and line-of-business systems.
We define data quality dimensions, implement automated validation rules, and establish end-to-end data lineage tracking giving your teams full transparency into where data originates, how it transforms, and why any given metric looks the way it does.
We align your data governance framework with security, privacy, and regulatory requirements including GDPR, CCPA, HIPAA, and SOC 2 ensuring data access controls, retention policies, and audit trails are designed for compliance from day one.
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 take a structured, outcome-driven approach to data governance and master data management. We begin with a comprehensive maturity assessment and data quality baseline, then design governance frameworks and MDM practices tailored to your organization's structure and compliance requirements. Our team works closely with data owners, stewards, and IT teams to operationalize governance across people, processes, and technology building lasting accountability and trust in your data.
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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Yes — our data governance services include tool assessment, selection, and implementation support. We work with leading data governance and MDM platforms including Microsoft Purview, Collibra, Informatica MDM, and Alation depending on your technology landscape and requirements. Tool implementation is always paired with the governance framework and operating model needed to sustain the program because tools without governance processes deliver limited value. We help you select, configure, and operationalize the right platform for your data governance maturity level.
No while enterprise data governance programs are often most complex, data quality and consistency issues affect organizations of all sizes. Mid-market companies often experience the same challenges: conflicting customer records across CRM and ERP, inconsistent product definitions, unclear data ownership, and compliance exposure. Our data management services are scoped to your organization's size and maturity we don't impose enterprise-scale frameworks where a focused, practical governance program is more appropriate.
Yes. Our data governance consulting services are designed to support compliance with major regulatory frameworks including GDPR, CCPA, HIPAA, SOX, and industry-specific requirements in financial services and energy. We help establish the data lineage, auditability controls, access governance, and data quality standards that regulators look for. Governance frameworks we design are aligned to your specific compliance obligations not generic templates so your investment in data governance directly reduces compliance risk and audit exposure.
Timeline depends on scope, organizational complexity, and existing data maturity. A focused initial governance program covering one or two priority data domains with a framework, ownership model, and quality monitoring can be designed and operationalized in 8–16 weeks. A comprehensive enterprise data governance and MDM implementation across multiple systems and regulatory domains typically runs 6–12 months. We structure every engagement in phases so your team sees measurable progress improved data quality metrics and resolved ownership gaps before the full program is complete.
Data governance is the framework the policies, roles, standards, and processes that define how data is managed, who owns it, and how quality and compliance are ensured across the organization. Master data management (MDM) is the practice of creating and maintaining a single, trusted version of core business entities: customers, products, vendors, and locations. They work together: governance provides the rules and accountability structure, while MDM ensures those rules are applied to the most critical data assets in your enterprise.
We help organizations define and track six core data quality dimensions: completeness (are all required fields populated?), accuracy (does the data reflect reality?), consistency (is the same entity defined the same way across systems?), timeliness (is the data current?), uniqueness (are there duplicate records?), and validity (does the data conform to defined rules and formats?). Our data quality management approach establishes baseline measurements for each dimension, sets improvement targets, and implements monitoring dashboards so data quality issues are visible and actionable rather than discovered after they impact decisions.
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!
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!
