Business Intelligence on Oracle Analytics Cloud (2025)

Course Description

Business Intelligence on Oracle Analytics Cloud (2025) develops practical capability in business intelligence development on Oracle Analytics Cloud using data connections, semantic modeling, analyses, dashboards, prompts, agents, security, and governance. The learning path is organized around an executive analytics program delivering governed sales, finance, and operations dashboards from curated enterprise data with reusable metrics and controlled access.

Learners progress from architecture, process, or business understanding into configuration, development, analysis, validation, troubleshooting, and operational handoff. Every lesson uses the controls, tools, data structures, risks, failure modes, and decisions relevant to this exact Oracle pathway.

The content is independently written for SkillDynamo using the supplied source page for title, update date, and topic alignment. Learners finish with reproducible evidence, a course-specific implementation record or runbook, and a prioritized improvement action.

What You Will Learn

• Explain and apply Oracle Analytics Cloud services, roles, catalogs, and authoring workflow within Business Intelligence on Oracle Analytics Cloud (2025).
• Configure, validate, or troubleshoot connections to databases, files, applications, and data gateways, semantic model concepts, subject areas, logical facts, dimensions, and hierarchies, and data quality checks, grain definition, joins, and metric ownership using course-specific evidence.
• Explain and apply criteria, columns, filters, selections, prompts, and saved filters within Business Intelligence on Oracle Analytics Cloud (2025).
• Configure, validate, or troubleshoot formulas, calculated measures, time-series functions, and aggregation behavior, tables, pivots, graphs, maps, narrative views, and compound layouts, and interaction testing, totals, null behavior, drill paths, and result validation using course-specific evidence.
• Explain and apply dashboard pages, sections, prompt scope, and responsive composition within Business Intelligence on Oracle Analytics Cloud (2025).
• Configure, validate, or troubleshoot dashboard and column prompts, presentation variables, and cascading choices, actions, links, drill-through, guided navigation, and contextual workflows, and agents, delivery profiles, schedules, conditions, and alert governance using course-specific evidence.
• Explain and apply application roles, catalog permissions, row-level controls, and sharing within Business Intelligence on Oracle Analytics Cloud (2025).
• Configure, validate, or troubleshoot query performance, cache awareness, logical SQL review, and usage tracking, catalog archive, migration, deployment promotion, and rollback, and content standards, certification, lineage, support runbook, and adoption metrics using course-specific evidence.

SkillDynamo Training Approach

The training follows an executive analytics program delivering governed sales, finance, and operations dashboards from curated enterprise data with reusable metrics and controlled access. Activities combine product-specific demonstrations, guided implementation, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution review, and a final improvement plan. Learners document assumptions, settings, commands or transactions, outputs, exceptions, corrective actions, security and governance trade-offs, rollback needs, and operational ownership.