SAP Analytics Cloud (SAC) Test

This skill evaluates the ability to design compelling, interactive data stories using SAC’s visualization tools. It includes understanding responsive vs canvas layouts, chart types, input controls, filters, drill-downs, and linked analysis. Strong visualization skills are crucial for transforming complex data into intuitive, actionable dashboards that support strategic insights across all levels of an organization, making it a core component of SAC adoption and business engagement.

This skill measures a candidate’s proficiency in creating and managing SAC data models, including dimensions, measures, hierarchies, and calculated/restricted measures. It also covers version management, data actions, and validation rules. Robust modeling skills ensure that business users interact with accurate, consistent, and semantically rich data models that serve as the foundation for all planning, reporting, and predictive workflows in SAC.

This skill tests the use of SAC’s integrated planning features such as planning models, data actions, allocations, forecast generation, and collaboration through calendars. It emphasizes scenario planning, driver-based forecasting, and rolling forecasts. Planning capabilities in SAC unify analytics with enterprise performance management, making this skill vital for FP&A teams and stakeholders managing budgets, targets, and strategic outcomes across departments.

This skill area assesses a candidate’s familiarity with SAC’s AI-powered features including Smart Predict, Smart Discovery, and Search to Insight (natural language query). It covers building classification, regression, and time series models, along with interpreting prediction quality and confidence intervals. These features enable business users to uncover patterns and automate data-driven insights without needing deep data science expertise, enhancing the organization’s agility and foresight.

This skill evaluates knowledge of SAC’s security architecture, including user roles, teams, data access controls, and content permissions. It also includes audit logs, model locking, and administrative best practices. Sound security practices are essential for compliance, governance, and ensuring the right data is accessible to the right users—safeguarding sensitive information while enabling productive collaboration.

This skill focuses on SAC’s collaborative features such as calendar tasks, commenting, notes, story sharing, and content export/import. It also covers version control, folder management, and deployment across environments. Effective content collaboration supports cross-functional planning, coordinated reviews, and transparent documentation—key to driving enterprise-wide alignment in analytics and planning workflows.

This skill assesses the ability to use SAC’s integration with Microsoft Excel and PowerPoint via add-ins. It includes planning in Excel, bidirectional data sync, and exporting visualizations to Office formats. Mastery of Office integration is essential for finance and operations users who rely on Excel workflows but require the scalability, governance, and real-time collaboration enabled by SAC’s cloud platform.

This skill measures understanding of SAC performance tuning through best practices in model design, story structuring, data volumes, and visualization efficiency. Performance tuning ensures that dashboards and planning models load quickly, provide smooth interactivity, and scale effectively—critical for large enterprise deployments and for maintaining user trust in analytics tools.

This skill focuses on familiarity with the latest SAC updates, including UI changes (like Horizon theme), predictive planning enhancements, new connectivity options, and integration with services like SAP Datasphere or SAP AI Core. Staying current with SAC's innovations ensures teams can leverage the most efficient tools and maintain forward compatibility, while showcasing readiness to support modern analytics transformation initiatives.

This skill evaluates understanding of SAC APIs, SDKs, and the use of custom widgets and embedding techniques. It includes embedding SAC stories into portals, Fiori apps, or using REST APIs for automation. Extensibility is crucial for organizations looking to tailor SAC to unique business processes, integrate with external apps, or scale analytical use cases beyond the standard interface.