Enterprise Data & Information Strategy
Translate business ambition into a prioritised, fundable data and information agenda leaders can act on.
ExploreEnterprise data & information management
Enterprise information, designed to be trusted and usable.
DataVirtue Consulting helps organisations define data strategy, structure critical information assets, and embed practical governance, quality and assurance controls — so information can be trusted for operations, reporting, analytics and AI.
- Clear data ownership
- Governed information assets
- Strategic alignment
- Trusted reporting
- AI-ready foundations
- Regulatory alignment
Enterprise Data & Information Framework
We make enterprise data and information clearer, more governable, and ready to use.
Most organisations do not struggle for lack of data activity. They struggle because strategy, architecture, and governance evolve in isolation — and trust in data and information erodes.
DataVirtue brings structure to how data and information foundations are designed and delivered: enterprise strategy, information architecture, practical governance, information management, analytics enablement, and AI readiness — connected, and grounded in implementation.
Consulting services
Nine capability areas, delivered as one coherent agenda.
Engage a single capability or a coordinated program — strategy through to delivery assurance.
Enterprise Information Architecture
Design system-agnostic data structures that reflect the business, not the systems beneath it.
ExploreData Governance & Data Management
Stand up governance and a data office that delivery teams actually use — not a policy on a shelf.
ExploreInformation Management
Make critical information findable, classified, and governed across its lifecycle.
ExploreData Quality & Controls
Make data quality visible, owned, and actionable — and treat it as governed risk.
ExploreAnalytics, BI & Decision Enablement
Turn fragmented reporting into trusted metrics the organisation can decide on.
ExploreCloud Data & Platform Advisory
Choose a modern data platform direction independently — eyes open on cost, security, and delivery.
ExploreAI Readiness & Responsible AI
Build the governed data foundations AI depends on — before scaling use cases.
ExploreIndustry Data Domains
Express industry knowledge as canonical data domains integration and governance can use.
ExploreWhere DataVirtue helps most
The data problems behind transformation risk.
Select a challenge to see how we respond. Most engagements start here.
How we respond
We rationalise reporting and establish a trusted-metrics framework with clear ownership, so the numbers agree and decisions follow.
Analytics & BIHow we help
From assessment to architecture to embedded delivery control.
A practical method that moves data work from undocumented assumptions to governed decisions.
- Step 01
Understand the business context
Clarify strategic drivers, stakeholder needs, risk areas, and the business outcomes that matter — before discussing data and information at all.
- Step 02
Assess data and information maturity
Identify gaps in governance, quality, architecture, ownership, and information management, and make data risk and value visible to decision-makers.
- Step 03
Define target foundations
Establish the domains, models, controls, standards, and roadmap that describe where the organisation needs its data and information to be.
- Step 04
Design governance and architecture
Translate strategy into practical operating models, information architecture, and delivery artefacts — not slideware.
- Step 05
Embed controls into delivery
Bring governance, quality, standards, and decision controls into the way delivery actually runs, so foundations hold as work progresses.
- Step 06
Embed capability and improvement
Help teams sustain governance, improve trust in data and information, and mature their practices long after the engagement ends.
Industry experience
Built for asset-intensive, regulated, and high-stakes environments.
Sector knowledge expressed as governed data domains — without overclaiming.
Mining & Resources
Asset-intensive operations where operational, safety, and financial data must reconcile across complex estates.
Government & Public Sector
Cross-agency reporting and secure information sharing constrained by legacy systems and siloed data.
Financial Services & Superannuation
Regulated, customer-centric organisations needing trusted data, strong governance, and AI-ready foundations.
Healthcare & Aged Care
Clinical, operational, and financial systems where data quality and compliance carry real consequences.
Aviation & Transport
Asset-heavy operations where information architecture, lineage, and reliability are non-negotiable.
Utilities & Infrastructure
Asset-intensive operations needing repeatable data and information standards across systems.
Enterprise Transformation & ERP
Large programs — especially ERP and core-system change — where data foundations determine success.
Advisory depth, delivery discipline
20+
Advisory engagements
7+
Strategy-to-execution programs
$400M+
Transformation program experience (cumulative)
Bring a data challenge — we'll help you frame the next move.
Whether it is a governance gap, an architecture decision, or an information management challenge, a short conversation is the fastest way to see where we can help.