We help organizations govern their data with intention — turning scattered information into trusted, governed, revenue-generating assets that protect the business and power its growth.
Our Conviction
Most organizations treat governance as a compliance cost. We treat it as a growth lever. When your data is trusted, your decisions are faster, your products are better, and your customers are safer.
Our Approach
We embed alongside your teams, build programs that outlast the engagement, and transfer genuine capability — not polished decks. You own the outcome. That's the only arrangement we're interested in.
Our Standard
With 20+ years spanning technical execution to executive strategy, we bring the full stack of data management experience — and none of the theoretical filler that slows programs down.
Who We Are
AV Data Management Consulting is a boutique consultancy focused exclusively on enterprise data management. We don't dabble — data governance, quality, master data, consent, and literacy are all we do, and we do them at depth.
Founded by a Certified Data Management Professional (CDMP) and Lean Six Sigma Green Belt with a 20+ year career spanning computer operations, QA, business intelligence, governance program design, and executive data strategy — we bring a rare combination of technical credibility and business acumen to every engagement.
We work with mid-market to enterprise organizations who are serious about turning data into a strategic asset — and need a partner who can build the program, not just describe it.
Discuss Your SituationWhat We Do
Data problems rarely live in one domain. Our service offerings are designed to work together — reinforcing each other across the full data management lifecycle, from raw governance design to board-level literacy.
Federated and centralized governance program design — policies, standards, stewardship roles, accountability structures, and data domain ownership. We build governance that people actually follow, because it's designed around how the organization works, not how a framework says it should work.
Design and implementation of authoritative MDM programs — single source of truth for customers, products, vendors, employees, and locations. We define the governance model, the stewardship process, and the integration patterns that keep master data clean across every system that touches it.
Measurable, business-aligned data quality programs. Profiling, scorecards, quality rules, incident management, and root-cause remediation — tied to real business outcomes, not abstract completeness scores. We build the operating model that makes quality sustainable, not a one-time cleanup.
Enterprise consent management frameworks that satisfy regulatory requirements — GDPR, PIPEDA, CCPA, and beyond — while enabling the data uses that drive business value. We design consent capture, storage, propagation, and reporting so compliance becomes an operating capability, not a legal firefight.
Building organizational confidence with data — from front-line employees to executive decision-makers. We design literacy programs, data dictionaries, business glossaries, and training frameworks that give every layer of the organization the language and skills to work with data responsibly and effectively.
Metadata management, data cataloguing, lineage, and enterprise data architecture. The connective tissue that makes your data ecosystem legible, auditable, and trustworthy at scale — across systems, platforms, and organizational boundaries.
Our Philosophy
The best data programs don't choose between growth and protection. They're architected to do both — and each capability reinforces the other.
When your data is trusted and governed, it unlocks capabilities your competitors can't access. Clean master data means faster market entry. High-quality customer data means better personalization. Governed analytics means decisions that are made with confidence, not crossed fingers.
Ungoverned data doesn't just slow you down — it creates material regulatory, financial, and reputational exposure. Consent failures, data breaches, and regulatory non-compliance are operational risks that governance programs exist to prevent.
How We Work
We don't do perpetual retainers by design. Our goal is to leave your organization owning its data future — not dependent on a consultant to maintain it.
Current-state assessment across data domains, systems, processes, and governance maturity. We find the real blockers, not just the visible symptoms — and we build consensus on what actually needs to change.
Target-state design grounded in your actual constraints, strategic priorities, and organizational reality. Practical blueprints built to be executed — not aspirational slides built to impress.
Embedded execution alongside your team — not above them. Frameworks, tooling, workflows, policies, and the documentation that makes them stick through personnel changes and growth.
Knowledge transfer is a first-class deliverable. We measure success by how well you operate the program after we leave — which is why we design for sustainability from day one.
Capabilities
Platform-agnostic, vendor-neutral. We design for your environment, your maturity level, and your goals — not for the tool we happen to sell.
DAMA-aligned governance design, federated and centralized models, policy libraries, accountability matrices, and data domain ownership structures that scale with the organization.
MDM platform evaluation and selection, domain-by-domain governance design, golden record strategy, stewardship workflows, and cross-system synchronization architecture.
End-to-end DQ program design: profiling, rule definition, threshold-setting, scorecard reporting, escalation paths, incident management, and continuous improvement cycles tied to business KPIs.
GDPR, PIPEDA, CCPA, and sector-specific consent program design — capture mechanisms, storage architecture, propagation workflows, preference centres, and regulatory reporting capabilities.
Organization-wide literacy strategy: business glossary development, data dictionary creation, role-based training curriculum, change management integration, and executive data fluency programs.
Data catalogue strategy and implementation, metadata standards, business-to-technical lineage mapping, and governance integration so your metadata is a living asset, not a stale inventory.
Building the executive case for data investment — EBM/KVA frameworks, headcount justification, block funding models, ROI quantification, and board-level positioning of data as a strategic asset.
Green Belt-level process analysis applied to data workflows — waste identification, cycle time reduction, quality measurement frameworks, and process standardization that makes governance stick.
Who We Serve
We're not a large systems integrator with hundreds of consultants. We're a focused practice — which means we're selective about who we work with, and those clients get our full attention.
Organizations launching an EDM function for the first time — needing foundational governance, a clear service model, and a roadmap that's realistic for their maturity and resources.
Programs that started with good intentions but stalled — governance frameworks that aren't being followed, data quality that keeps degrading, or MDM implementations that never delivered the golden record they promised.
Organizations navigating consent regulation, audit requirements, or data breach response who need a data management partner who understands both the compliance obligation and the operational reality of meeting it.
Get in Touch
Every engagement starts with a conversation — no obligation, no pitch deck. Tell us where you're stuck and we'll give you an honest read on whether and how we can help.
Windsor, Ontario, Canada — serving clients nationwide and across the United States