Skip to content

DIKI Hierarchy Interactive Pyramid

Run the DIKI Hierarchy Pyramid Fullscreen

About This MicroSim

This interactive pyramid visualizes the DIKI Hierarchy — Data, Information, Knowledge, and Insight — using a single hospital-patient scenario that climbs the pyramid one rung at a time. The same value (98.6) starts as a raw number at the base, becomes a contextualized record, then a discharge-readiness rule, and finally an AI-derived insight about readmission risk.

The footer note acknowledges that older sources call this the DIKW Hierarchy with Wisdom at the top. Modern data-science practice prefers Insight because it names a deliverable rather than a virtue.

How to Use

  1. Hover over any layer to see its definition and the hospital-patient example
  2. Click on a layer to pin the callout so you can read the longer text
  3. Click again to release the pin and continue exploring

The Four Layers

  • Data (base): Raw, unprocessed facts without context
  • Information: Data placed in context — who, what, when, where
  • Knowledge: Patterns and rules derived from information that support decisions
  • Insight (top): Actionable, often non-obvious findings distilled from knowledge

Embedding This MicroSim

You can include this MicroSim on your website using the following iframe:

<iframe src="https://dmccreary.github.io/information-systems/sims/diki-pyramid/main.html"
        height="602px" width="100%" scrolling="no"></iframe>

Lesson Plan

Learning Objectives

By the end of this activity, students will be able to:

  1. Name the four layers of the DIKI Hierarchy in order from bottom to top
  2. Classify a given example as Data, Information, Knowledge, or Insight, and justify the choice
  3. Explain why most failed IS projects fail at a layer transition rather than at a single layer
  4. Describe how the DIKI framing differs from the older DIKW Hierarchy and why "Insight" is now preferred over "Wisdom"

Suggested Activities

  1. Exploration (5 min) — Have students hover through all four layers, reading the patient example at each level
  2. Classification Drill (10 min) — Present 10 short statements drawn from a different domain (e.g., retail, weather, school) and have students classify each as Data, Information, Knowledge, or Insight
  3. Find-the-Layer-Transition (15 min) — Present three IS project failure case studies and have students identify which transition failed: D→I, I→K, or K→Insight
  4. Build-Your-Own (10 min) — Students pick a domain (their own job, a hobby, a sport) and write one example at each of the four layers

Assessment

  • Quiz items asking the student to classify a statement into the correct DIKI layer
  • Short answer: "Describe a real or fictional IS project that failed at the Information→Knowledge transition. What broke?"
  • Comparison essay: "When would you call the top layer Insight instead of Wisdom, and why does it matter to a data team?"

References

  • Ackoff, R. L. (1989). From Data to Wisdom. Journal of Applied Systems Analysis.
  • Rowley, J. (2007). The wisdom hierarchy: representations of the DIKW hierarchy. Journal of Information Science.
  • Frické, M. (2009). The Knowledge Pyramid: A Critique of the DIKW Hierarchy. Journal of Information Science.