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Data Strategy & Governance

Full On Consulting data strategy and governance consulting — establishing data policies, governance frameworks, and data culture

Data Strategy & Governance: Turn Data Into a Strategic Enterprise Asset

Senior data advisors who define your data strategy, establish governance frameworks, and build the data culture required to make analytics and AI investments pay off — with governance that business stakeholders actually own.

Most organizations have made significant investments in data infrastructure — data warehouses, BI platforms, ERP systems, cloud migrations — without the data strategy and governance framework required to make those investments work together. The result is a landscape of disconnected data assets: ungoverned data lakes that become data swamps, inconsistent metric definitions that produce conflicting reports, compliance obligations that are aspirational rather than enforced, and business units that create their own data definitions in isolation because no enterprise standard exists. Full On Consulting's data strategy and governance consulting practice builds the frameworks, ownership structures, and organizational disciplines that make data trustworthy, compliant, and strategically valuable — beginning with an honest assessment of where you actually stand and ending with a governance program that runs without consultant dependency.

4

Enterprise source systems unified under a single governed data strategy and architecture in one engagement

$40M+

In documented client savings enabled by trusted data and disciplined technology strategy

20+

Years of enterprise IT leadership — including CTO and CIO roles with data strategy accountability

100%

Senior consultants — no junior staff on your data strategy engagement

Our Data Strategy & Governance Services

From Current State Assessment to a Governed, Sustainable Data Program

Current State Data Assessment

A comprehensive inventory of your current data assets, quality baseline, governance gaps, compliance posture, and data flow across systems — establishing the honest baseline required before any strategy or governance framework is designed. Organizations that skip this step build strategies for a data landscape they don't actually have.

Data Strategy Development

A clear, executive-sponsored data strategy that defines your data vision, priority data domains, investment roadmap, and the measurable business outcomes that justify the program — so data investments are sequenced against business priorities rather than made opportunistically based on whatever vendor is in the room.

Governance Framework Design

Design and implement a data governance framework — data council structure, stewardship roles, decision rights, business glossary, metadata standards, and escalation paths — built to be owned and operated by business stakeholders, not delegated entirely to IT and forgotten when the consultants leave.

Data Policy Development

Develop and operationalize data policies covering quality standards, data retention and disposal, access control, privacy obligations, and data classification — turning compliance requirements from aspirational statements into enforced, auditable practices that hold up under GDPR, CCPA, HIPAA, and SOC 2 scrutiny.

Data Stewardship Programs

Establish data stewardship programs with clear ownership accountabilities for each critical data domain — so every key data entity has a business owner responsible for its definition, quality, and maintenance rather than defaulting to IT as the last resort for all data problems and exceptions.

Data Literacy & Culture

Build organizational data literacy through structured programs that equip business users at every level to understand, interpret, and act on data effectively — because governance frameworks and analytics platforms only deliver value if the people using them have the context to use data appropriately and confidently.

What Makes Us Different

Why Our Data Governance Programs Actually Get Adopted

Data Strategy Before Tools and Architecture

Organizations routinely invest in data warehouses, BI platforms, and cloud data architectures without a coherent data strategy. We define the strategy — what data the business needs, how it should be governed, what outcomes it should produce — before recommending any technology or architecture.

Governance Frameworks That Business Stakeholders Actually Own

IT can build systems, but governance is a business discipline. We design governance frameworks with business stakeholders as the accountable owners — not frameworks that live in IT documentation and get ignored by the people who generate and use the data.

Stewardship Programs That Sustain Without Heroic Effort

Data governance programs requiring constant consultant or management heroics to function have a documented lifecycle: implemented, neglected, abandoned. We design stewardship processes that are operationally realistic and sustainable — so governance persists after the engagement ends.

Data Literacy Built Into the Program, Not Added Later

Governance frameworks and analytics platforms only deliver value if people can use data correctly. We integrate data literacy development into every data strategy engagement — because the best governance in the world fails if consumers of the data don't understand what they're looking at.

Featured Case Study

Data Warehouse: Building a Governed Single Source of Truth Across Four Enterprise Systems

A distribution company was running the business on disconnected data from SAP, Salesforce, Magento, and a WMS — with no consistent definitions and no governance. Full On Consulting defined the data strategy, established the governance framework, and built a governed data warehouse that gave leadership a single, trusted view of the entire enterprise for the first time. The engagement demonstrates what happens when strategy precedes architecture and governance precedes analytics.

A broader IT transformation engagement demonstrated the same data governance discipline at enterprise scale — delivering $40M in documented savings in part by ensuring information flows were governed, technology investment decisions were data-driven, and program outcomes were measured against clear metrics throughout a complex, multi-year transformation.

Read the Full Case Study →

4

Enterprise systems governed under a single data strategy — creating the first trusted single source of truth

$40M+

In documented savings enabled by disciplined data strategy and technology governance

20+

Years of enterprise IT and data leadership experience per senior strategy consultant


Before You Engage

What to Ask a Data Strategy & Governance Consulting Firm

Do they conduct a current state assessment before designing strategy?

Data strategies designed without a clear-eyed assessment of the current data landscape consistently overestimate what is achievable in the near term and underestimate the remediation work required before strategic capabilities can be built. Ask whether the firm conducts a structured inventory and assessment of your current data assets, quality baseline, governance gaps, and compliance posture before drafting any strategy or framework — and how those findings shape the investment roadmap.

How do they ensure governance frameworks are owned by the business, not IT?

IT can build data infrastructure, but data governance is an organizational discipline that fails when it is delegated entirely to technology teams. Governance frameworks need business stakeholders who own data domains, define standards, make definitional decisions, and hold accountability for data quality in their areas. Ask how the firm engages business stakeholders in governance design — specifically, how stewardship roles are defined, how they are made organizationally real rather than just documented, and what the operating model looks like after the consultants leave.

How do they address conflicting data definitions across business units?

Conflicting definitions of core business terms — 'revenue,' 'customer,' 'product,' 'active user' — are among the most persistent and damaging data governance failures. When Finance, Sales, and Operations each calculate the same metric differently, every cross-functional report becomes a dispute. Ask how the firm facilitates the definitional resolution process, how the business glossary is built and maintained, and what governance mechanism resolves future definitional conflicts as the business evolves.

How do they build governance that sustains itself after the engagement?

The most common failure mode in data governance is a program that functions while consultants are present and collapses within a quarter after the engagement ends. Ask specifically what organizational structures, operational processes, and tooling are established to make governance self-sustaining — how stewardship meetings are run, how data quality is monitored, how policy violations are surfaced and escalated, and what the maturity measurement cadence looks like so the program can demonstrate value and hold accountability over time.

Build a Data Foundation You Can Trust

Define Your Data Strategy and Build Governance That Business Stakeholders Actually Own

Our senior data strategy consultants will assess your current data landscape, define a clear data strategy, design a governance framework built for adoption rather than documentation, and establish the stewardship programs and data literacy capabilities that make it sustainable — so every analytics and AI investment built on top delivers real value.

Schedule a Free Data Strategy Consultation →

WHY FULL ON CONSULTING

Senior Consultants Only

Every engagement is led and delivered by senior consultants — former CIOs, CTOs, and enterprise IT executives. You get the people you were sold, not a bait-and-switch to junior staff after the contract is signed.

$40M+ in Documented Savings

Our track record includes $40M+ in verified client savings, a $130M M&A integration across 90+ global facilities, and an end-user computing transformation for 18,000 employees. We deliver measurable outcomes — not just recommendations.

20+ Years of Enterprise Experience

Our consultants average 20+ years of enterprise IT experience across Fortune 500 and mid-market companies. We have run the same programs we are being asked to lead — across SAP, Oracle, Salesforce, ServiceNow, and large-scale transformations.

Strategy Through Execution

We do not hand you a strategy deck and walk away. Our teams stay engaged from initial assessment through go-live — accountable for outcomes, not just deliverables. If we recommend it, we are prepared to execute it.

Boutique Agility

As a boutique firm, we move faster, adapt to your priorities, and work with your team rather than around it. No bureaucracy, no layers of overhead — just focused, senior-led execution from day one.

A Partner, Not a Vendor

We build long-term relationships grounded in trust and integrity. Many of our clients have engaged us across multiple initiatives and refer us to peers — because we do what we say we will do, every time.

Let's Talk

Let's start a conversation and let us show you why companies select Full On Consulting to help them deliver their IT initiatives.

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