Oracle CX Sales and Oracle B2B Service: Analytics Ed 2

Course Description

Oracle CX Sales and Oracle B2B Service: Analytics Ed 2 provides a structured path through CX analytics architecture, subject areas, dimensions, measures, Analyses, filters, prompts. Participants learn to translate business requirements into controlled Oracle setup, executable processes, meaningful evidence, and clearly owned operational outcomes.

Later lessons examine Operational reporting, service performance, pipeline inspection, forecasting views, Data validation, performance tuning, sharing. Learners create and review analytics requirements catalogue and metric dictionary, interactive sales-and-service dashboard, role-based operational analytics pack, analytics validation log and governance checklist, so configuration, data, integration, security, and operational issues can be separated instead of being treated as one generic failure.

On completing the course, learners can defend the design and operation of trusted CX analytics that answer sales and service questions with governed metrics and actionable drill paths. A final action plan records owners, acceptance gaps, monitoring needs, rollback considerations, and service improvements.

What You Will Learn

• Explain how CX analytics architecture, subject areas, and dimensions establish the operating foundation and shape later configuration decisions.
• Configure measures, security, and business questions, then confirm readiness through analytics requirements catalogue and metric dictionary rather than relying on screen messages alone.
• Execute a controlled workflow covering Analyses, filters, and prompts, preserving input traceability, approvals, and the resulting changes.
• Read interactive sales-and-service dashboard to isolate prompt filters returning incomplete regional results, separate symptoms from causes, and select a correction that can be safely retested.
• Integrate Operational reporting, service performance, and pipeline inspection with ownership, access, and downstream process expectations.
• Challenge forecasting views and drill-down using normal and boundary cases, then defend the outcome with role-based operational analytics pack.
• Investigate scheduled reports distributing stale or unauthorized data by reviewing Data validation, performance tuning, and sharing before applying a reversible fix.
• Prepare analytics validation log and governance checklist that demonstrates scheduling, governance, and adoption and supports handover, monitoring, and the next improvement decision.

SkillDynamo Training Approach

Sessions move from concept mapping to guided implementation, scenario analysis, evidence-based validation, reversible corrections, operational review, and improvement planning. Learners test both expected flows and failure conditions before accepting a result.