The Data Crime Files™
Meet the usual suspects.
Every troubled program has the same cast of villains — each one a data crime in a tailored coat. We name them, so you can spot them before they bill you.
Not because the technology isn't ready. Because the data underneath it isn't — and no model fixes that for you.
20 questions · 6 minutes · No email required to begin.
Why this matters right now: every enterprise is being told AI is the answer — the latest in a 30-year line of silver bullets that began with MRP and ERP. And AI works today. Its first return is not intelligence — it is time: hours bought back on reports, analysis, and drafts, with no platform decision required. What AI cannot do is automate chaos — point it at an ungoverned process and it replicates every gap at machine speed. The scarce skill is judgment — knowing where AI pays off now, where the governance work comes first, and keeping the decisions at the leader's desk.
Chief Data Officer leadership without the full-time seat — strategy, governance, and accountability at the executive table.
A standing senior advisor who finds the risk the status reports miss and names it before it gets expensive.
A data agenda tied to business outcomes — not a maturity model on a shelf.
The S/4HANA move, landed clean — data audited before cutover, not after go-live.
Rule-level measurement and remediation of the critical data driving planning, supply, and finance.
Ownership, standards, and operating discipline that survive after the consultants leave.
Fortune 500 transformation experience across data and program management — ERP programs, enterprise data quality at scale, and the executive governance that determines whether they land. ALLJOY audits the data itself, not just the process around it.
Every troubled program has the same cast of villains — each one a data crime in a tailored coat. We name them, so you can spot them before they bill you.
For thirty years, the industry has sold the same promise with a different label on the box. MRP would fix the planning. ERP would fix the process. BI would fix the visibility. Big data would fix the decisions. Digital transformation would fix everything. Each one arrived carrying the same quiet hope: that this would be the thing that fixes the problem without the work of fixing the problem.
It's wanting to be strong without lifting the weights. Wanting to be a millionaire from the couch. The technology was never the missing piece. The discipline was — and it still is.
Most leadership teams already know their data isn't ready. They read the articles. They listen to the podcasts. They send people to the conference and nod through the keynote about data quality. Another year passes. The data doesn't move.
That isn't preparation. That's admiring the problem.
Preparation is an audit of the actual data, an owner named for every critical element, and a control at the point of entry. It is finishable work with a date on it. A maturity study is not that, and a year of readiness theater is not that — the difference is whether anything moved.
Every technology before it would tolerate bad data, because humans sat in the loop quietly compensating for it. The planner who catches the stale lead time. The buyer who knows which vendor records to distrust. The analyst who "fixes" the report before the meeting. That compensation is invisible to leadership — it appears on no dashboard — and it does not transfer to a model.
AI removes the humans from the loop. The errors your people absorb today become decisions your systems make tomorrow — systematically, at machine speed, with no one there to catch them.
AI amplifies what exists. If the foundation is weak, it amplifies the failures.
You just have to take the first honest look. The companies that will win with AI over the next five years are not the ones with the biggest model budget. They're the ones that did the work while it was still cheap.
Twenty questions. Six minutes. You'll know exactly where you stand — and exactly what to lift first.
ALLJOY Consulting delivers judgment. JoySoft is the software we build when a client's data delivery problem can't be solved with judgment alone.
Built on the same discipline that runs the partnership.
Most failures are visible early. They are simply not acted on early — because the firms running the program weren't built to find them, and the methodology that would have caught them is not the one they're running.
In a Fortune 500 enterprise data program, a 1% error rate across critical data elements can translate to thousands of business-impacting issues per month — most of them invisible until they land.
What you pay for senior judgment is small.
What you pay for its absence is not.
The methodology to run a flawless data migration was established at BackOffice Associates more than two decades ago. The tools have spread since. The discipline has not. Five commitments — and what each one costs to skip.
We learned the discipline at the source — the methodology established by Tom Kennedy and the founding team at BackOffice Associates, refined across hundreds of Fortune 500 engagements. We audit the data itself because we know exactly where it fails and why. The discipline tells us where to look.
Every program operating with the tools but without the discipline pays twice — once in fees to firms that have never run the proven playbook, once in the operational cost of failures the discipline would have caught. ALLJOY exists to make that bill stop.
They have the tools but not the discipline — so they audit the process and miss the failure.
We tell you what's actually wrong, who owns it, and what it will cost if you don't act. The economics of the partnership are aligned with your outcome, not with the comfort of the conversation.
Every meeting where the truth gets softened is a meeting that bought the program more time to fail. The longer the truth waits, the more it costs to act on.
They soften the message, because the messenger is also the contract holder.
Our model is a fixed annual partnership built on getting the program to a controlled landing — not extending the engagement. We sell judgment, not hours.
Programs run on hours-billed accounting last longer because the firm running them benefits from the duration. Yours lasts longer because of it. You pay for the chaos to continue.
They bill hours against a process. The chaos pays them.
A program is successful when it lands cleanly, with the data underneath it telling the truth. Anything else is a crash you happened to walk away from.
Decades of lowered standards have made bad outcomes look normal. The buyer pays for an industry-wide refusal to define what good actually looks like.
They call a barely-survived launch a success.
Real data work has real cost. Heroics caused by avoidable failure are a different category — that's waste, and it comes out of human lives. We engineer so the team pays for the work, not for someone else's failure to lead.
Cratered weekends, missed birthdays, marriages strained, careers compromised — paid by the people downstream who had no say in the planning. The most expensive tax of all, and the one no spreadsheet captures.
They call cratered weekends dedication.
A coaching-led annual partnership for senior executives running enterprise data programs. Membership is by conversation, not application. The cohort grows deliberately.
Direct work with you and your senior team on the specific risk landscape of your program. The work that defines the year.
A small cohort of peer executives running enterprise data programs. The cohort is kept small by design.
For the moments that can't wait for the next call — escalations, judgment calls, vendor decisions. Reserved for senior judgment, not program coordination.
The Executive Partnership is senior advisory work. When client programs require execution capacity at scale, ALLJOY operates through firms whose contracts and tooling already sit on those programs. Three relationships matter today.
The methodology ALLJOY coaches was established at BackOffice Associates, now Syniti. When Fortune 500 programs need full-scale SAP or ERP migration delivery, Syniti is the firm we recommend. We earn no commercial relationship from those recommendations. The recommendation is editorial — based on knowing the methodology from the source.
ALLJOY has served EnQubes as a Trusted Partner since November 2022, providing senior data strategy and advisory to their leadership. ALLJOY places senior practitioners through EnQubes on Fortune 500 engagements — currently Matt Meyer and Jim Musser at Johnson & Johnson. EnQubes' senior partner Claude Viman came up alongside Billy on the J&J Consumer engagement in 2006-2008.
ALLJOY has placed senior practitioners through Precisely on Fortune 500 supply chain programs since 2019, currently Christian Mummert at General Mills. Their Senior Vice President of Global Services, David Woods, is from the same J&J Consumer engagement where Billy met Claude Viman. Long-running operational trust, multiple practitioners, multiple successful programs.
ALLJOY operates through four commercial structures, each with different economics and each disclosed openly.
An annual relationship for senior leaders running enterprise data programs. Coaching, on-site workshops, direct access. That is the work ALLJOY bills for as itself, at a fixed annual fee.
ALLJOY contracts directly with clients on specific scopes — advisory engagements, deployments of purpose-built tooling, embedded program leadership. ALLJOY bills the client directly. Currently active at Parker Hannifin and others.
When client programs require senior practitioner capacity and the partner firm already holds the contract and tooling, ALLJOY places its team — Matt Meyer, Jim Musser, Christian Mummert, and others — through that partner. EnQubes at Johnson & Johnson. Precisely at General Mills. The partner bills the client, ALLJOY bills the partner, the practitioner is on the ground delivering the methodology.
When implementation needs to happen at scale — full ERP migration, large delivery teams, specialized tooling beyond what ALLJOY carries — we recommend Syniti as the execution partner of choice. We earn no commercial relationship from those recommendations. We make them because Syniti's methodology came from the same source ALLJOY did, and we know what they will deliver.
The model is intentional. We sell judgment — so when implementation at scale is what your program needs, we say so plainly and tell you who to pay for it.
Your data should make you smile, not cringe. Your planners should act with confidence. Your executives should have clarity. Your customers should get what they ordered, when they ordered it.
And the team running the program shouldn't be paying for someone else's failure to lead. Real data work has real cost. Heroics caused by weak leadership upstream are a different category. That's waste, and it comes out of human lives.
ALLJOY is built to engineer that waste out of the program. The proven playbook applied early, so heroics aren't required late.
A process that cannot absorb new information will ship old information.
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Read the issue →AI's first return isn't intelligence. It's time. Spend it where the machine can't go.
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