FinOps · Data Platforms

More use cases. More consumption. Same budget.

Databricks, Snowflake, GCP — the bills keep climbing while the budget barely moves. The leaks usually aren't where you'd expect. I find them.

Get a free analysis 30 min · No deck · No pitch See how it works →
13 yrs
on the vendor side
(Databricks, SAS, Splunk, MicroStrategy)
~25%
typical waste identified
in qualified environments
The diagnosis

The bill keeps climbing. The budget barely moves.

Modest budget growth can't keep up with what your data platform actually needs. The gap is the part nobody owns. Scroll to see how it widens over five years.

// the bill vs the budget, over time
YEAR 1
Y1 Y2 Y3 Y4 Y5 budget the bill ↑ the gap

From the other side of the table

I spent ten years selling these platforms. So I know exactly where the money goes.

Databricks, SAS, MicroStrategy — a decade of enterprise sales across DACH and Europe. I helped build a lot of these bills. Now I work the other side of the table.

// platforms I sold Databricks SAS Splunk MicroStrategy
The approach

Cut the spend. Keep the stack.

  • Cluster & warehouse optimization — manual tuning, automated
  • FinOps governance: showback, chargeback, accountability that sticks
  • Tooling introductions to vetted partners — with full transparency on the model
  • Immediate savings, no migrations, no code changes
// what your bill looks like
THE BILL WHAT'S ACTUALLY NEEDED ↑ THE LEAK
How the model works

Independent. Disclosed.

I work as an independent advisor and reseller with a small set of tooling partners I trust — and I name that here, not in a footer.

01
When I recommend something, you'll know what's in it for me.
02
You'll also know I wouldn't recommend it if it didn't pay for itself.
In the community

I host the conversations I want to be in.

Masters of Data, BI & AI — direct, unfiltered conversations with data leaders, architects, and founders across DACH. Auf Deutsch.

All episodes
EPISODE 19
LATEST EPISODE

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Direkte, unzensierte Gespräche mit Data-Leaders, Architekten und Gründern aus dem DACH-Raum. Auf Deutsch.

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The process

From first call to measurable savings.

01

Cost transparency

Analyze current spend. Identify the biggest levers and quick wins. No deck — just the numbers.

02

Strategy & roadmap

Define savings targets, build governance, select the right tooling mix.

03

Tooling deployment

Vetted partner tools handle automated optimization. Days, not months. Zero disruption.

04

Continuous control

Dashboards, showback, regular reviews. Costs stay under control once cost ownership has an owner.

Who this is for

For data & AI teams across DACH.

Head of Data Engineering
CDO / VP Data & AI
Cloud Platform Owner
Data Platform Team
Finance & IT Leadership
Databricks & Snowflake Partners / SI
Get started

Ready to see where it's leaking?

A 30-minute conversation is enough to estimate savings potential in your environment. No deck, no pitch — just the numbers.

Get a free analysis 30 min · video or call LinkedIn Connect directly
// also available

Sales Strategy for Data Companies

Go-to-market design, ICP sharpening, and founder-led sales transition — for data & AI consultancies ready to scale past referrals.

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rocky khan
rocky khan
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rocky khan
rocky khan
Podcast
Über mich
About Me
FinOps
FinOps
Beratung buchen
Schedule a Meeting
DE | EN
Podcast
Über mich
About Me
FinOps
FinOps
Beratung buchen
Schedule a Meeting
DE | EN
DE | EN
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