Data

Raw facts or measurements captured as separate items that have not yet been organized, structured, or analyzed; essentially basic observations.

Key Points

  • Represents raw observations or measurements before any processing or interpretation.
  • Becomes information only after it is organized, aggregated, or analyzed.
  • Can be quantitative or qualitative and is typically stored at a granular level.
  • Collected from sources such as logs, surveys, sensors, tests, or inspections.

Example

During quality control on a construction project, the team records hourly concrete temperature readings and timestamps. Until those readings are averaged or trended, they are data.

PMP Example Question

While performing inspections, a project team records defect counts for each work shift. What are these shift-by-shift counts best classified as?

  1. Data
  2. Information
  3. Knowledge
  4. Work performance reports

Correct Answer: A — Data

Explanation: The shift-by-shift counts are raw, unprocessed measurements. They become information only after they are organized or analyzed (for example, summarized or trended).

AI Systems with Claude, for Scrum Masters and Project Managers

Most AI pilots in project management do not fail on the model. They fail because somebody pointed the thing at a decision instead of at a task. This course is built around that distinction, and around the work that follows once you get it right.

Eight teaching sections, taught against one running project from the first lecture to the last. You watch a system get built, then you build the same one against your own sprint. Nothing here is a demo that works only on the example.

You finish with five working systems and you keep them. The sprint report machine turns your board export and standup notes into the report you currently write by hand. The retro intelligence system tells you what the team keeps saying, not just what it said this time. The stakeholder comms engine drafts the update in the register the audience expects. The backlog health monitor flags the quiet decay nobody has time to check for. The risk and dependency tracker follows the chains that actually bite.

Seventy-six working files ship with it, across four sections, so every system is built against real sprint data rather than material invented for a slide. Four sprints of retrospectives, board exports, standup notes, backlog and risk data.

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HK School of Management and Technology helps you take Lean Six Sigma to the next level without the overwhelm. Master advanced statistical tools, Excel-based analysis, and real-world improvement techniques to solve complex problems with confidence. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

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