Oracle CX Sales and Oracle B2B Service: Analytics Ed 2 — Lesson 1: CX analytics architecture, subject areas, dimensions, measures, security, and business questions

Learning Objectives

• Assess the dependencies, controls, and expected business outcome for CX analytics architecture, subject areas, dimensions, measures, security, and business questions.
• Demonstrate the workflow and leave reproducible evidence in analytics requirements catalogue and metric dictionary.
• Recommend a preventive improvement after resolving two reports using different definitions for the same pipeline metric.

Detailed Topics

• CX analytics architecture
• Subject areas
• Dimensions
• Measures
• Security
• And business questions
• Decision ownership, prerequisites, and acceptance evidence for CX analytics architecture, subject areas, dimensions, measures, security, and business questions
• Relevant access, data, integration, performance, recovery, and support considerations

Instructor Demonstration

The demonstration traces CX analytics architecture, subject areas, dimensions, measures, security, and business questions from requirement through execution and review. Learners see where evidence should be collected, how analytics requirements catalogue and metric dictionary supports verification, and which warning signs demand investigation.

Hands-On Exercise

Configure and test CX analytics architecture, subject areas, dimensions, measures, security, and business questions with representative records. Use “two reports using different definitions for the same pipeline metric” as the troubleshooting challenge, compare competing hypotheses, retest only the affected path, and complete analytics requirements catalogue and metric dictionary for peer review.

1. Map the current process and mark where the expected result can first be observed.
2. Run the scenario while preserving timestamps, job identifiers, and relevant output.
3. Apply a reversible correction only after evidence supports the cause.
4. Retest the original case plus an unaffected case and update the handover record.

Scenario Analysis

• Clarify the business trigger, affected roles, required records, and acceptable result for CX analytics architecture, subject areas, dimensions, measures, security, and business questions.
• Compare at least two implementation or correction choices and identify which evidence would distinguish them.
• Decide how analytics requirements catalogue and metric dictionary should be reviewed, approved, retained, and handed to the next owner.

Troubleshooting Guidance

For a failure in CX analytics architecture, subject areas, dimensions, measures, security, and business questions, separate access, setup, data, integration, and timing causes. Compare the observed sequence with analytics requirements catalogue and metric dictionary; if “two reports using different definitions for the same pipeline metric” is confirmed, make the smallest reversible correction and document why broader changes were rejected.

Validation Checklist

• The scope of CX analytics architecture, subject areas, dimensions, measures, security, and business questions is clear, including what is deliberately excluded from the test.
• Evidence in analytics requirements catalogue and metric dictionary supports each material decision and outcome.
• A negative test demonstrates that controls reject or flag an invalid condition.
• Open risks, owners, due actions, and production safeguards are documented.

Lesson Outcome

Learners can apply CX analytics architecture, subject areas, dimensions, measures, security, and business questions, explain the decisions made, and defend the result with analytics requirements catalogue and metric dictionary.