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AI & Data

Data Governance & Management

Trusted data lets you move faster.

OnX brings the structure, oversight, and quality controls your data needs — plus managed services to keep them running — so the business can act on data with confidence.
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Data you can build on

How much do you trust your organization’s data? Too often, sources conflict, ownership is muddy, and access controls drift even as the bar for compliance gets higher. Without governance, every new analytics dashboard and AI initiative inherits the same uncertainty about what the data means and who’s accountable for it.

Strong data governance and management resolve that uncertainty, so the business can move quickly and confidently.

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The OnX approach

Governance that earns trust at scale

We treat data governance and management as the operating system for trusted data. Our approach builds policies, roles, and tooling that fit how your business runs, so governance accelerates the work rather than slowing it down.

We ground our support in three core principles:  

  • Trust before scale. We establish data ownership, quality standards, and access controls before expanding analytics and AI use cases, so every initiative starts on a verified foundation.

  • Practical over perfect. We build governance frameworks that match your maturity and regulatory environment, prioritizing what reduces risks and unlocks value.

  • Built to operate. We deliver governance that runs in production, with documented stewardship, automated quality monitoring, and tooling that scales with you.

Data Governance & Management capabilities

 OnX delivers the expertise you need to build a trusted data foundation.

Data Governance Framework


Design governance frameworks that define data ownership, stewardship, and decision rights across your organization.

Master Data Management


Build the practices and platforms that establish a single, trusted version of your critical business entities.

Data Quality and Stewardship


Implement quality rules, monitoring, and stewardship workflows that catch issues before they reach reports or models.

Security, Access, and Privacy Controls


Design layered access controls, encryption and privacy protections that align with your security posture and applicable regulations.

Compliance and Regulatory Readiness


Embed regulatory requirements into governance policies, documentation, and audit trails.

Governance Tooling and Automation


Deploy and configure platforms to operationalize cataloguing, lineage, and policy enforcement.

Where to start

Advisory engagements

A CBTS advisory is a time-bound, fixed-fee engagement designed to give you a clear answer to a specific strategic question — fast.  

Discovery & Design Workshop

Best for: Organizations grappling with a business problem, such as lack of in-house resources, end-of-life challenges, or multi-faceted risks related to existing applications. 
You walk away with: 
•    Expert analysis of your current state, including insights on application condition, cost, risk, and business value 
•    Recommended actions for solving the business problem  
•    Executive readout deck for leadership alignment

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What success looks like

Three outcomes show up most frequently for the clients we support. 

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Reduced risk

Clear ownership, access controls, and audit trails reduce exposure to data breaches, regulatory penalties, and the operational risk of decisions made on bad data.

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Operational excellence

 Standardized definitions, quality controls, and stewardship workflows reduce rework, reconcile conflicting reports, and free teams to act on data rather than arguing about it.

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Business agility

 With a trusted foundation in place, it takes far less time to stand up new analytics, AI, and reporting initiatives.

“We’re working with clients on what they need their data to do for the business and how to plug it in so it produces real value. That starts with trusted data and the structure to manage it.”

jeff lamb

 Jeff Lamb 

Senior Consultant AI

Don’t take our word for it

“OnX has been an incredible partner and really takes the time to understand our needs and our culture. They have been fantastic throughout and represent OnX professionally and with curiosity about our technology landscape.”

DirectorHealthcare

“Onx is exceptionally agile partner, consistently attentive to our needs and always quick to adapt. Their customer focus and responsiveness truly set them apart as a top-tier service provider.”

Deputy CTOBFSI

“OnX is a reliable and trusted partner whose deliberate focus on understanding our environment, challenges, and business outcomes helps us advance complex initiatives with confidence.”

ManagerGovernment

“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable partner.”

 Sr. ManagerBFSI

“The OnX account team consistently demonstrates professionalism, expertise, and a strong commitment to service. They translate customer requirements into practical, cost-effective solutions, making them a valuable part.”

DirectorUtilities

The data foundation connects everything else.

Successful AI and analytics start with data you can trust.

What makes the difference

National expertise with local accountability.

For 40+ years, OnX has helped Canadian organizations solve complex technology challenges. Our national reach provides access to deep technical capabilities, industry specialists, and leading technology partners, while our local teams remain accountable for outcomes and invested in your success. We listen before we recommend and stay engaged throughout delivery.

Industry knowledge that matters. 

Regulatory requirements and operational realities shape your technology decisions. OnX brings deep experience supporting complex, highly regulated organizations through modernization, cybersecurity, cloud transformation, and AI adoption. With a deep understanding of governance, compliance, and security, we know how to deliver outcomes within those constraints.

Partnership that goes the distance.

Technology initiatives succeed when the right partner stays committed after implementation. OnX works alongside you from strategic planning and procurement to modernization, managed services, and AI transformation. We strive for partnerships built on trust, accountability, and a shared commitment to long-term success.

Further reading on IT modernization

Perspectives from OnX experts on modernizing the foundation your business runs on.

Frequently asked questions 

What is data governance? Data governance is the system of policies, roles, and processes that determines how an organization manages, protects, and uses its data. It establishes ownership, defines data quality standards, sets access and privacy controls, and creates accountability for keeping data trustworthy.
What is the difference between data governance and data management? Data governance defines the rules: who owns the data, what quality standards apply, who can access it, and how it must be protected. Data management is the execution: the platforms, processes, and day-to-day work that put those rules into practice across systems and teams.
Why is data governance important for AI? AI systems are only as reliable as the data behind them. Governance ensures the data feeding AI models is accurate, well-defined, secure, and compliant, which reduces the risk of biased outputs, regulatory exposure, and decisions made on data the business doesn’t trust.
What does a data governance framework include? A practical framework defines data ownership and stewardship roles, quality standards and monitoring, access and privacy controls, regulatory and compliance requirements, and the tooling that supports cataloging, lineage, and policy enforcement. It is sized to the organization’s maturity and risk profile.
What is master data management? Master data management establishes a single, trusted version of the core entities a business runs on, such as customers, products, suppliers, and locations. It reconciles conflicting records across systems so reports, analytics, and AI models all reference the same definitions.
How does data governance support regulatory compliance? Governance creates the documentation, access controls, and audit trails regulators expect, embedded in how data is managed every day. That makes compliance a byproduct of normal operations rather than a separate scramble before each audit.

Start with a conversation.

Your organization’s AI ambitions depend on how well you govern and manage data.