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Sequence 234 — Meridian applied-lab plan and prediction
Context: Chapter 13 - Data Quality Management | Applied Lab
Source: CDMP Master Execution Manual
When / purpose
Enter the Chapter 13 lab with a business hypothesis before touching tools or templates.
What you should learn
- The chapter concept is the lesson; the tool is the medium.
- Prediction before action prevents blind clicking.
- Source and raw data must remain preserved.
- The lab output must support a business/data-management decision.
What to read / study
- MUST: Chapter 13 Applied Lab folder — final lab must be source-checked; if the guide is missing, stop and have it built from the chapter source.
- MUST: Meridian Casebook — read only scenario/system/domain sections used by the lab.
- REFERENCE: Technology Roadmap — required medium: SQL + Python/pandas + PostgreSQL; optional catalog-quality integration later. Do not exceed chapter-triggered depth.
Do this in order
- Read the lab business situation and expected evidence.
- Write what you predict you will observe or decide.
- List exact inputs.
- Confirm raw inputs remain unchanged.
- Identify the DMBOK concept each planned step should make visible.
Meridian application
Inject, profile, measure, root-cause, repair and prevent the documented Meridian defects.
Create / save
Lab prediction + input/evidence checklist.
Stop / boundary
If the lab guide is missing, preserve the learner stop gate; migration does not build it.
Completion gate
You can explain what you are about to do, why it matters and what result would change your conclusion.
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