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 for Agile Project Managers and Scrum Masters

Become an AI-first leader and transform your agile practice by leveraging artificial intelligence as your most powerful co-pilot. This course is designed to help you drive efficiency, insight, and innovation, ensuring you stay at the forefront of a rapidly evolving project management landscape.

This isn't about replacing human intuition—it's about augmenting it. You'll master prompt engineering to automate mundane tasks, freeing up your time for high-impact strategic leadership and creative problem-solving. Learn to refine backlogs, create strategic roadmaps, and integrate AI seamlessly into your agile ceremonies.

Gain predictive power by using AI-driven insights to anticipate project risks and seize new opportunities for more reliable outcomes. We deliver practical, prompt-based workflows and proven strategies built around real-world agile challenges that you can implement immediately within your framework.

Master foundational AI concepts specifically relevant to Scrum environments while developing advanced skills to handle diverse agile scenarios. You will learn to champion an AI-enabled culture within your organization, fostering a dynamic environment of continuous improvement and superior team delivery.

Learn alongside professionals around the world working in project leadership and delivery.

Explore the Course


Launch your Agile career!

HK School of Management helps you learn Agile and Scrum with practical playbooks, AI-powered prompts, and real-world workflows for planning and delivery. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

Learn More