The data operating system

Your data and AI strategy doesn't need another deck.
It needs an operating system.

DataWorkbench is the operating system for your data function: every initiative with a business owner and a dollar value, the work organized where everyone can see it, motion turned into traction you can prove. XenoDATA wraps it in advisory, a peer group of data leaders, and AI, as one engagement.

30 minutes. No prep required. No commitment.

Trusted by data leaders at:

Ulta Beauty
CEFCU
AB InBev
Kraft Heinz
Williams Lea

Who this is for

Whether you have a data leader or you're building one. The job is the same: make that leader succeed.

You have a data leader

Supercharge Your Function

You get practitioners who've been in your seat, who know what org confusion feels like from the inside and what it takes to clear it. We bring the stakeholder interviews, the governance facilitation, the exec alignment sessions, and the use case delivery. DataWorkbench gives you the operating system. The AI agents surface what you'd otherwise miss. But it starts with expertise, not software. You lead. We give you the horsepower.

You're building toward one

Develop Your Data Leader

You don't have a data leader yet, or the person in the seat is still growing into it. XenoDATA develops them: standing up the function around a real person, coaching them through the first hard calls with executives, and building the operating system and the conditions they need to lead. We don't fill the seat. We make sure the person in it succeeds. You end with a data leader, not a dependency on us.

XenoDATA never replaces the data leader. We build the conditions for the data leader to succeed.

Not ready to book yet?

The workshop works best when you walk in with a clear business case. Build the one-pager first, then bring it to the session.

Build your executive one-pager first →

The alternatives

You've probably already considered these.

Option What it gets you What it doesn't solve Cost
Hire a consultant Ideas and a framework They won't lead on your behalf. You get a deck and recommendations. Then it's your problem to execute. $500k+
Hire a data person Another person in the building You're hiring around a problem you still own. Adding headcount doesn't fix the conditions. It just spreads the weight. $200k+/yr
Buy metadata software More visibility into your data Do you really need to know more about your data? Or do you need the org to act on what you already know? Software doesn't build traction. $100k+/yr
Figure it out yourself Low cost The worst way to learn is trial and error. Lost time, lost credibility, and the loneliest path in the building. Lost time
Do nothing No cost Is this really an option? N/A

XenoDATA is none of these. It's the system that makes the leader you already have succeed.

The honest reality

Most data leaders don't survive 18 months. It's not a talent problem.

Data leaders fail for the same reason data strategies fail. The organizational conditions to succeed don't exist when they arrive. No real use case with a business owner who has skin in the outcome. An exec sponsor who's supportive but not genuinely committed. Cross-functional teams who are interested but not accountable. Progress happening but invisible to the people who matter.

These conditions persist for a specific reason. Delivering clarity means naming what's broken. But naming what's broken costs political capital with every person who hears it. Over time, that drain erodes the conditions the data leader needs to succeed, in direct proportion to how well they're doing their job.

XenoDATA builds the clarity that data leaders need to succeed, and that executives need to see their investment return.

See what a healthy engagement looks like at Month 3 and Month 12 →

Further reading: Why Data Leaders Lose Influence →

DataWorkbench

The system where your data function is actually run.

DataWorkbench is the operating system at the center of every engagement: the place the work is run, not just reported. Use cases, data products, policies, business terms, and metrics are authored and owned in one system, each with a named owner and a dollar value attached. Then it makes that work visible in real time, to the data leader, the exec sponsor, and every stakeholder, with no meeting required to stay informed.

Value Funnel: live view of business value across the portfolio

DataWorkbench
Business Impact
Scorecard
Value Funnel
Goals
Cross-Functional
Use Cases
Community
Glossary
Value Funnel
See where ideas stall between use cases, projects, and products.
Total Business Value
$38,450,000
Identified · 64
Use Cases
$35,200,000
In Progress · 8
Project Management
$1,850,000
Delivered · 4
Data Product Mgmt
$1,400,000
Pipeline by Stage
Identified64
In Review12
In Progress8
Delivered4
Value by Business Unit
Operations$14.2M
Finance$11.8M
Commercial$7.4M
Technology$5.0M

Use cases capture every initiative, data and AI, with a named business owner, a community, and an estimated value attached, alongside the data products, policies, and metrics that prove it is working. That is how AI initiatives stop being experiments and start being accountable to outcomes.

AI Steward

The governance layer that surfaces what practitioners need to act on.

The AI Steward doesn't replace practitioner judgment. It does the governance work practitioners avoid, between sessions, without a meeting to prompt it: drafting definitions and reference data, scoring and improving use cases, turning interview transcripts into fundable use cases, assigning stewardship responsibilities, and flagging where two teams define the same term differently. The documentation stays current on its own.

Business Glossary: terms, definitions, stewards, and alignment status managed automatically

Govern Business Glossary
AI Generate
+ Add Term
Term Definition Steward Status
Net Revenue Total revenue less returns, allowances, and discounts. Excludes intercompany transfers.
SR
Sarah R.
Approved
Active Customer Customer with at least one transaction in the trailing 12 months. Excludes trial accounts.
MK
Mark K.
Conflict
Churn Rate Percentage of customers lost in a given period relative to starting count. Monthly calculation.
DL
Dana L.
Approved
COGS
AI Generated
Cost of goods sold. Direct costs attributable to production of goods. Includes materials and direct labor. Unassigned Draft
Gross Margin
AI Generated
Net revenue minus COGS, expressed as a percentage of net revenue. Primary profitability indicator. Unassigned Draft
1–20 of 147 terms
112 approved · 8 conflicts · 27 drafts

Capabilities

  • Plain-language glossary definitions and reference data drafted automatically
  • Use cases scored 0 to 100 for readiness, with the specific gaps to fix
  • Fundable use cases generated from stakeholder interview transcripts
  • Stewards assigned, tracked, and granted the access they need the moment they're named
  • Redundant and conflicting business terms flagged before they cause a bad meeting

The AI Steward drafts definitions grounded in your industry and existing catalog, scores use cases on how ready they are to be funded, and flags conflicts when two teams define the same term differently. Once a steward is named, it assigns their responsibilities and grants the access they need automatically. No manual data entry to keep governance current.

Fractional CDO

The always-on outside voice. Between sessions, at scale.

The hard things a practitioner can say once a month, it says every week.

The Fractional CDO is the always-on outside voice that internal data leaders can't be. It reads every meeting note and platform metric, then names what the organization is avoiding: the wins, the hard truths, a maturity snapshot, and a SWOT the leadership team can act on. It also runs the engagement-health checks every program lives or dies on: whether the exec sponsor has gone quiet, whether the work depends on a single person, whether stewardship is stretched too thin.

Every engagement starts with a named exec sponsor who has staked something on the outcome. The Fractional CDO makes sure that stays true.

Voice of Customer Analysis: strengths, weaknesses, opportunities, and risks surfaced automatically

Fractional CDO
Voice of Customer Analysis
Q1 2026 Survey 42 responses
Response Rate
87%
Sentiment Score
7.4 /10
Communities Heard
6 of 8
Risks Flagged
2
Strengths
Data quality rules are well-understood by stewards. 89% of respondents can name their assigned domains.
Executive visibility rated highest category. CFO cited DataWorkbench in last board meeting unprompted.
Use case ownership clear. Every active use case has a named business owner with monthly check-in.
Weaknesses
Procurement community disengaged. Only 2 of 7 members responded. Last active participation was 6 weeks ago.
Business glossary adoption stalled at 34%. Teams still using local terminology in reports.
Opportunities
Supply chain analytics mentioned by 4 respondents unprompted. No use case exists yet. Estimated value: $1.2M if scoped correctly.
HR wants in. People team asked twice about joining a community. They see the model working for Finance and want to replicate it.
Risks
Exec sponsor engagement declining. VP of Operations attended 1 of the last 4 monthly reviews. No sponsor touchpoint logged in 94 days.
Revenue forecast use case blocked on data access. Owner frustrated. 3 escalations in 2 weeks with no resolution from IT.

Capabilities

  • Names what the organization is avoiding, without the political cost to the internal leader
  • Engagement-health checks: a lapsed exec sponsor, a single point of failure, or thin stewardship, flagged early
  • Voice of customer survey analysis: strengths, weaknesses, opportunities, risks
  • One-click executive briefings, board updates, and QBRs generated from live data
  • Wins, hard truths, and a maturity snapshot synthesized across every meeting

Between sessions, the Fractional CDO keeps doing the work a practitioner can't sustain on a weekly cadence: naming what's being avoided, flagging what's at risk, and turning live data into board-ready briefings, committee updates, and QBRs. When a sponsor attends fewer meetings or a stakeholder goes quiet, it surfaces the signal before it becomes a conversation you're not prepared for.

Peer Group

You are not the only data leader solving this.

The job is lonely, and that is a real risk to it. The Peer Group puts you in a small cohort of data leaders at the same stage, facilitated by a XenoDATA practitioner, that meets every month. Before each session everyone posts a structured check-in and one commitment the group holds them to. Between sessions, you can pull the cord for help, and peers who have solved it answer. It is part of your engagement, not a separate product.

Cohort check-in: shared accountability, mood, and open asks before the monthly session

Peer Group
In-Seat Cohort · March
Next session Mar 18
Checked in
6 of 10
Avg life score
72
Commitments kept
4 of 5
Open asks
2
This cycle's check-ins
MT
Maria T.VP Data, RetailKept
Finally got budget sign-off. Hiring my first two analysts.
JO
James O.Head of Data, HealthFlare
Sponsor went quiet after the reorg. Not sure how to re-earn it.
PN
Priya N.Data Director, FintechKept
Rolling out the metric registry. Adoption is climbing week over week.
Cohort mood
Dec
Jan
Feb
Mar
Someone pulled the cord
James O.: How do you re-earn a sponsor after a reorg? Need input by Friday.
3 peers replied →

What you get

  • A monthly cohort of data leaders at your stage, facilitated by a practitioner
  • Structured check-ins and one commitment the group holds you to
  • Pull the cord for urgent help between sessions, and peers who have solved it answer
  • A private directory of data leaders, plus curated resources and roles

Benchmarking tells you where you rank. The Peer Group tells you what to do about it. It is the support system the job never came with: people who have sat in your seat, on a cadence, with real accountability. Included with your engagement. We are starting with founding cohorts, so seats are limited.

How it works

A defined path. Agreed outcomes. Accountable milestones.

1. Workshop

30 minutes. Free.

A working session built around your situation. Not a pitch, not a discovery call. XenoDATA evaluates where things stand and delivers two things you can use immediately: an exec sponsorship narrative and a diagnostic of what's actually blocking the work. If we're the right fit, you'll know by the end. If we're not, you'll know that too.

2. Sprint

90 days. Fixed scope. Fixed price.

One use case scoped with a named business owner. Executive sponsor confirmed and in the room. DataWorkbench live. ROI estimate validated. This is not a pilot. It's a defined engagement with a defined deliverable. If it isn't working at day 90, you don't have to renew.

Day 90 deliverables
  • Exec sponsor confirmed and has been in the room, not just copied on emails
  • One use case scoped, owned, and active with a business owner driving it
  • DataWorkbench live and showing activity from people other than the champion
  • Business problem stated in one sentence a CFO would care about, with a dollar number attached

3. Managed service

Ongoing.

The sprint proves the method on one use case. The managed service runs the method across the next batch: scoping new initiatives, monitoring exec sponsor health, running the stakeholder community, and generating the progress narrative your leadership team can read without a meeting to interpret it. Month 12 is where the pre-agreed outcomes get measured against what was promised at kickoff.

Month 12 checkpoint
  • 3 pre-agreed outcomes achieved or clearly on track
  • At least one use case has a dollar value attached
  • Exec sponsor referencing data in leadership meetings unprompted
  • Client would do this case study on camera without hesitation

4. Delivery support

Optional. Year 2 and beyond.

When a use case is ready to move from identified to built, the team builds it with you. Custom dashboards, data pipelines, integrations, bespoke deliverables scoped around what the engagement has surfaced and delivered by a team that already knows your data, your stakeholders, and your org. Some clients never need this. Some clients make it the center of year two.

Scales with you

Start with the system. Scale into services when you need them.

The operating system, the program management, and the peer group are where you start: a productized floor that proves value fast. When the work calls for more, XenoDATA scales up with you. Support services to keep the program running. Consulting for the hard strategic calls. And product development when a use case is ready to move from identified to built: a custom dashboard, a data pipeline, an integration, or a deliverable that doesn't exist yet.

All of it delivered by a team that already understands your data, your stakeholders, and your org. No separate vendor. No new onboarding. No context lost in translation.

Some clients never need this. Some make it the center of year two. You scale up only when the work calls for it.

Client stories

What clarity looks like when it lands.

Williams Lea
40 clients. One metric standard. The foundation for everything that followed.

Technology-initiated. 7-year relationship. XenoDATA tied data strategy to business value for the first time, secured exec buy-in, and projected a seven-figure EBITDA uplift.

"XenoDATA gave us an incredible data roadmap to solve our most complex, global data issues."

Nick Morgan, Global Head of Technology, Williams Lea Tag

Kraft Heinz
The data leader who couldn't get past the buzzwords.

Before: New in role. Handed a data and AI mandate. Had conversations with the big consultancies and walked away with frameworks, not answers. The language wasn't translating to his executive room.

During: XenoDATA stripped the buzzwords. Scoped the first use case. Built an initiative inventory with named business owners and dollar estimates his CFO could engage with. Gave him the language to stop deferring to consultants and start directing them.

After: 4-year relationship. Named exec sponsor in every phase. Multi-year program. The method became repeatable.

"Identified millions of dollars of improvements directly attributed to better data management."

Paulo Santiago, Kraft Heinz

CEFCU
Governance went from a chore to something the whole team was proud of.

VP-initiated. 3-year relationship. XenoDATA built a structure people actually followed: clear roles, real accountability, and progress the whole organization could see.

"We were throwing solutions at problems to see what would stick."

Jennifer Flexer, VP Data Governance, CEFCU

7+ yrs

Longest client relationship

$108M+

Certified business value

781+

Members

Confusion is costing your organization more than you think.

Clarity is one conversation away.

30 minutes. No prep required. No commitment.