Category Risk Escalation — Deep Analytics & Insights LLC

Category Management & Procurement · Case Study

Category Risk Escalation

A Power BI model that shows where category risk sits — tariff exposure, single-source concentration, and price erosion — and turns each exposure into a ranked, owner-ready action.

Knowing where the risk sits — before the next tariff headline.

A tariff announcement lands on a Tuesday. By Wednesday, leadership wants a single number: how much of our spend is exposed? Most procurement teams can't answer that in the meeting — not because the data doesn't exist, but because their analytics was built to report what they spent, not to reveal where they're exposed.

Three questions drive every category risk conversation:

  • How much of our spend is exposed to tariffs — sourced outside the US?
  • Where are we dependent on a single supplier, with no fallback and no leverage?
  • Where is price quietly eroding — PPV widening month over month while a quarterly summary still reads flat?

Spend visibility is table stakes now. But a spend cube is a rear-view mirror: it tells you what you bought and from whom, not where the exposure sits. Those risks live inside the spend, so they get discovered the hard way — after the fact. Executives need to see where the risk is; category managers need to know what to act on now. Both should be looking at the same numbers.

Spend visibility — what most teams have Risk escalation — what you actually need
The question it answers What did we spend, and with whom? Where are we exposed — and what's the next move?
Which way it looks Backward — last quarter's invoices, already closed. Forward — today's exposure and tomorrow's decision.
How it gets triggered Someone asks, and you pull a report. The risk surfaces itself and ranks by spend at stake.
What you leave with A number to drop into a slide. A prioritized action with an owner attached.

A ranked view of where the risk sits — and what to do about it.

Built on spend, country-of-origin, sourcing, and price-variance data, the dashboard layers three risk lenses on top of clean, classified spend — each one invisible on a standard spend report:

  • Tariff exposure — the share of spend sourced outside the US, the portion that reprices the moment a duty lands.
  • Single-source concentration — where one vendor is the only vendor, so a disruption has no fallback and no leverage behind it.
  • Price erosion — the widening gap between what you should pay and what you do, creeping up while a quarterly view reads as flat.

A sub-category risk matrix scores each of these, a supplier Pareto shows where the exposure concentrates, and the point isn't the heatmap — it's the escalation. Every flagged item resolves to a single recommended move, ranked by the spend behind it.

Category item Spend at risk Vendors PPV Risk Recommended action
Specialty polymer, single grade $$$ 1 +16% High Renegotiate
Precision casting, ductile iron $$ 2 +11% Medium Dual-source
High-torque electric motor $$ 2 +12% High Run RFQ
Recurring facilities service $ 3 +7% Low Re-bid

Illustrative action list — each exposure lands as one recommended move, ranked by the spend behind it. Sample data.

Test it yourself.

This is the live, interactive Power BI report. Filter by date, category, subsidiary, department, and sourcing status; drill from the sub-category risk matrix into the ranked action list; and trace unit price against PPV over time. Best experienced on a desktop screen.

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A ranked action list, not a lump-sum number.

A single spend total tells you almost nothing about where you're exposed. Breaking it down by risk lens, supplier, and SKU turns a category review into a short, ranked list of moves.

When a tariff or a supplier failure hits, the teams that move first aren't the ones with the most data — they're the ones whose analytics already told them where the exposure sat, and what to do about it. This project reflects my approach: understand the business pressure, build something actionable, and keep the path from data to decision short.

Not sure where your category risk sits? Let's talk.

If your analytics shows what you spent but not where you're exposed, that gap is worth a conversation. Tell me what your team is working through.

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