Unified Assurance V6 – CAPE Ed 1 — Lesson 2: Collection, Parsing, Normalization, Enrichment, Rules, and Data Quality

Learning Objectives

• Describe prerequisites, ownership, dependencies, and failure conditions for collection, parsing, normalization, enrichment, rules, and data quality.
• Construct the course-specific workflow while recording evidence at each material checkpoint.
• Evaluate the solution against security, control, reliability, performance, and support criteria.

Detailed Topics

• Collection
• Parsing
• Normalization
• Enrichment
• Rules
• Data Quality
• ownership, prerequisites, data, and acceptance criteria for collection, parsing, normalization, enrichment, rules, and data quality
• security, control, integration, performance, recovery, and support implications

Instructor Demonstration

Demonstrate collection, parsing, normalization, enrichment, rules, and data quality within a CAPE processing pipeline collecting operational data, normalizing it, enriching context, and routing trusted outputs into assurance workflows. Use representative data and capture parsed records, normalized fields so another practitioner can verify the result.

Hands-On Exercise

Complete a controlled Unified Assurance V6 – CAPE Ed 1 activity focused on collection, parsing, normalization, enrichment, rules, and data quality. Introduce a realistic case of field loss, isolate the cause, apply a reversible correction, and rerun the acceptance checks.

1. Record the requirement, environment, identities, dependencies, data, controls, and expected result.
2. Perform the workflow and capture course-specific evidence before and after each material change.
3. Test normal, boundary, failure, security, reconciliation, recovery, and operational conditions.
4. Document the root cause, correction, rollback, owner, support action, and next improvement priority.

Scenario Analysis

• Establish current state, desired state, constraints, and acceptable service impact.
• Compare alternative implementation or diagnostic approaches and their rollback consequences.
• Document the decision, evidence, exception, corrective action, and measurable improvement target.

Troubleshooting Guidance

When collection, parsing, normalization, enrichment, rules, and data quality does not produce the expected result, confirm scope, effective dates, identities, data context, dependencies, and recent changes. Review the most relevant parsed records, normalized fields before editing configuration. Test one reversible hypothesis at a time, verify recovery, and confirm that the fix does not create field loss elsewhere.

Validation Checklist

• Prerequisites, ownership, data context, settings, and expected outcomes are documented.
• The result is reproducible and supported by parsed records, normalized fields.
• Security, controls, data quality, integration, performance, recovery, and support conditions are reviewed.
• Exceptions, corrective action, rollback, approvals, monitoring, and handover are recorded.

Lesson Outcome

Learners can apply Collection, Parsing, Normalization, Enrichment, Rules, and Data Quality in a realistic Unified Assurance V6 – CAPE Ed 1 situation and defend the result with course-specific evidence.