Writing
Procurement intelligence, data architecture, and the ERP gap.
- The First 90 Days in a Data Leadership Role: What Actually Matters
An excerpt from The Data Leader's Handbook. The first 90 days are not about building things. They are about understanding what exists, who owns it, and what it would cost to fix it.
- What Fractional Data Leadership Actually Is (And When It Makes Sense)
Fractional CDO is not a euphemism for junior consulting. It is senior data leadership without the full-time overhead. Here is what it means in practice and when it is the right answer.
- Why I Wrote the Handbook I Couldn't Find
The books you find when you're knee-deep in flood water fall into two categories. Neither one helps you when the C-suite is standing between you and the problem.
- Procurement Intelligence Is Not Spend Analytics
The category confusion between spend analytics and procurement intelligence is costing companies the wrong tool for the wrong problem. Here is the distinction that matters.
- Your Suppliers Know More About Your Business Than You Do
The spend data your suppliers accumulate across your brands and subsidiaries gives them a view of your business you cannot replicate from the inside. This is not theoretical.
- The Information Asymmetry in Multi-Brand Procurement Nobody Talks About
Suppliers selling into multiple brands of the same conglomerate have aggregated visibility that the conglomerate itself lacks. This asymmetry is structural and exploitable.
- How to Read a Customs Manifest (and What You Can Infer From One)
U.S. import records are public. Most procurement and supply chain teams ignore them. Here is what is in them and what a competitor — or an analyst — can infer from your filing.
- What 15 Part Numbers for the Same Battery Cell Actually Costs You
Entity fragmentation in the vendor master is not an IT problem. It is a negotiating leverage problem. Here is what it costs when you can't see your own spend.
- Why I Built This: The Procurement Data Problem Nobody Wants to Solve
A federal data architect's perspective on how industrial companies manage — and mismanage — procurement data. The pattern repeats. The cost is real. RDMIS exists because the gap needed a name.
- You Can't Adopt Artificial Intelligence When Your BI Platform Lacks Actual Intelligence
The AI adoption conversation skips a prerequisite. Before you can use AI to surface procurement insights, your data has to be trustworthy. Most industrial conglomerates' isn't.