Shared Oxygen Advisory

Data & Governance

Data Advisory

Independent perspective on data value, consolidation, and governance—before AI or analytics scale.

Executive Summary

Data estates often grow faster than leadership can explain—parallel platforms, inconsistent definitions, and spending that outpaced governance. We work with CEOs, CFOs, and boards as outside counsel: pressure-testing assumptions, surfacing trade-offs, and helping leadership form judgments that hold up under scrutiny—without defaulting to another migration program.

The Leadership Challenge

Most organizations already spend heavily on data—warehouses, lakes, integration tools, and vendor contracts accumulated over years. The gap is rarely technology. It is judgment: which assets matter to the business, who owns them, what they cost to maintain, and whether they meet the bar for regulated use or production AI.

This is advisory work for executives who need a clear-headed view—not another platform roadmap. We do not sell warehouses or integration hours. We sit with leadership to test assumptions, challenge vendor narratives, and work through the questions boards and regulators are already asking.

Data estate · governance · AI readiness

Where We Focus

The questions we help leadership think through—not a fixed scope of work.

How data spend connects to revenue, cost, and operating risk

Whether architecture and vendor choices still fit the business and AI agenda

Where ownership for quality, lineage, privacy, and access is unclear or disputed

Which platform investments compete, overlap, or lack defensible return

Regulatory and reputational exposure in how data is collected, shared, and used

Gaps between what AI initiatives assume and what the estate can actually support

What Changes

Shifts in judgment and alignment—not implementation milestones.

Shared judgment among executives on what data matters—and what does not

Hard trade-offs surfaced before capital commits to platforms or vendors

Less exposure from data that lacks clear ownership or control

Sharper instincts on which initiatives warrant attention and which should wait

Board and regulator conversations grounded in substance, not vendor narratives

A clearer link between data foundations and the pace of AI or analytics

When Leaders Engage

Situations where an independent view helps—often where spend, risk, and an AI agenda have moved faster than the underlying data estate.

Where judgment is needed

Risk & Oversight

When boards, auditors, or regulators ask hard questions.

Board or audit committee questions following a breach, finding, or consent order

Regulatory inquiry into customer, employee, or financial data handling

Architecture & Investment

When platform direction, spend, or overlap lacks clarity.

Cloud or lakehouse direction stalled by conflicting internal proposals

Post-merger tension over overlapping warehouses, lakes, or vendor contracts

CFO or CIO concern over rising data platform spend without clear return

AI & Alignment

When data cannot support the pace of analytics or AI.

AI initiatives underperforming because source data cannot be trusted

Leadership alignment before a major data budget cycle or enterprise AI push

How We Engage

We work alongside leadership at the pace the situation requires. There is no standard engagement model—depth and duration follow the decisions in front of you.

Phase 01

Orient

Understand how the data estate connects to revenue, cost, and risk—and where ownership, vendor sprawl, or quality gaps undermine confidence in current decisions.

Phase 02

Decide

Work through architecture and governance choices together: what deserves investment, what should be consolidated, and how leadership will recognize real progress.

Phase 03

Advise

Remain available as independent judgment on execution—vendor claims, internal trade-offs, and whether conditions are right before analytics or AI move forward.