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REFINE DATA TO WISDOM: CHANGING RAW GOLD ORE TO VALUE

May 5, 2025
Kasper van Wersch

The DIKW Refinery

Everyone says data is the new gold. But here’s the hard truth: if you’re not refining it, you’re not winning.

We’ve heard the slogan for years.

But if that were enough, most organizations would already be thriving.

The truth?

Raw gold ore isn’t as valuable as when it’s refined.


The Problem: We Mine, But Hardly Refine

Most organizations are great at collecting data.

Dashboards, sensors, surveys, systems — everything feeds the data lake.

But here’s what often happens:

  • Data gets handed to analysts with no context
  • Teams operate in silos, using different definitions and interpretations
  • Information exists — but meaning doesn’t travel
  • Decisions are made with partial insight, or worse: with assumed understanding

The result?

The raw ore just piles up.

And the value? Lost in the noise


The Reality: Data Isn’t the Goal — Understanding Is

To unlock value, data must go through a refining process.

That process isn’t just technical — it’s conceptual and organizational.

  • From Data to Information: Structure, classification, context.
  • From Information to Knowledge: Interpretation, alignment, feedback.
  • From Knowledge to Wisdom: Shared meaning, strategic relevance, actionability.

Think of it as a value journey — much like refining from raw gold ore (data) to 18k (information) to 22k (knowledge) to 24k purity (wisdom).

Each layer removes ambiguity and increases clarity.


The Insight: You Can’t Automate Meaning

AI can speed up analysis. Automation can streamline processes.

But meaning requires people — and systems designed to connect roles, interpretations, and decisions to the goals of the organization.

You don’t just need to secure the data. You need to understand what it means — and why it matters.


The Invitation: Start Asking Better Questions

Every time you’re handed a dataset to transform into wisdom — expected to automate a process, make a strategic decision, or protect it — start by asking:

  • What does this data mean to our organization?
  • Whose goals does it support?
  • What would be the impact of misinterpreting this?
  • Where are we in the DIKW pyramid?

Are we looking at raw ore, 18k, 22k or 24k — and how can we tell?

The answers reveal where you are in your refinement process — and what still needs work.


Conclusion: Raw Gold Isn’t Enough

You’ve already struck gold. The real question is:

Are you refining it — or just stockpiling it?


Let’s move from hoarding to refining.

Where’s your organization stuck in the DIKW pyramid — and how can we help each other climb?

About the author

Senior Security Advisor | Netherlands
With great enthusiasm I have been working in IT for 25 years now. I started in sales and over the years my interest shifted to consultancy. The emphasis of my work has always been (and still is) Information and Cyber Security.

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