Yes. The Diagnostic can be run under NDA, and source data stays where you approve. I work from extracts, screenshots or controlled access, depending on what your systems allow.
QUESTION-READY DATA
“Why did margin fall?”
“Which customers are actually profitable?”
“Why does Finance have a different number?”
QUESTION-READY DATA
DataJockey makes your business data Question-Ready, so your people and your AI can ask new questions and get answers they can trust.
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The information is already there, spread across finance systems, CRM, ecommerce, operations, support and spreadsheets.
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When the CEO asks a new question, someone still has to reconcile definitions, join systems and decide which number is right.
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AI makes the gap visible: it can produce an answer instantly, but speed does not make the answer correct.
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INSTANT ANSWER
A model can respond before the business has agreed which definition, system or rule applies.
TRUSTED ANSWER
The answer is defensible because the business layer explains what the number means.
AI ANSWERS ARE ONLY AS SAFE AS THE DATA UNDERNEATH
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It can answer from the wrong definition and still sound confident.
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It hides missing joins, exclusions and ownership gaps inside a neat sentence.
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It makes uncertainty sound board-ready before anyone checks the working.
AI answer · Illustrative
CEO: What was revenue last quarter?
Revenue last quarter was AED 47.2m, up 8.4%.
Answered in 2.1 seconds. Very confident.
Looks impressive. Still unsafe.
HOW DATAJOCKEY WORKS
01
We start with the real questions management asks, then trace them back through the systems, data and business rules required to answer them.
Outcome: you know exactly what is preventing reliable answers today.
02
We connect the necessary data and make the business logic explicit: revenue, active customers, authority, allocation, exclusions and joins.
Outcome: one agreed way for the business to interpret its data.
03
We test the system against new business questions it was not specifically built to answer, whether they come from an executive, analyst or AI assistant.
Outcome: evidence that your data can answer more than yesterday’s reporting requirements.
04
New products, systems, definitions and metrics appear. Ongoing stewardship keeps models, definitions, rules and AI context aligned.
Outcome: Question-Ready Data becomes a capability, not another project that decays after launch.
REAL QUESTIONS WE TRACE
THE OFFER STACK
Diagnostic → optional Build → monthly Stewardship
Diagnostic is the entry point. Build and Stewardship only follow when the evidence says they should.
WHO THIS IS FOR
Growing businesses that already run on systems such as an ERP, CRM, ecommerce platform, finance platform or operational software, but still depend on manual analysis, conflicting reports or individual employees to explain what the numbers mean.
You do not need a mature data team.
You do not need an existing data warehouse.
You do need meaningful business data and a senior owner who wants better answers from it.
THE SIMPLEST VERSION
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Then we prove it can answer the questions you did not know you were going to ask.
why datajockey exists
Built for businesses who need answers, not dashboard theatre.
DataJockey is run by David Ó Cinnéide. Fifteen years reading the numbers behind real commercial calls - pricing, growth, cash, margin, hiring.
Most reporting tells you what happened. It rarely tells you what to do. That gap is the whole job: what matters, where value is leaking, what to do next.
Built for owners and decision makers, not internal reporting teams
A grip on the business, not just the analytics
Fifteen years inside real commercial calls, not dashboards
No platform migration required.
No AI purchase required.
Start with the questions you already ask.