Performance is a critical success factor in SAP Analytics Cloud (SAC). Well-designed analytics solutions provide fast response times, improved user experiences, and efficient decision-making, while poorly optimized environments can lead to slow dashboards, delayed reporting, and reduced productivity.
This module introduces the core architecture of SAP Analytics Cloud and explains how different architectural components influence overall system performance. Learners will also explore the built-in performance analysis tools that help identify bottlenecks, diagnose issues, and measure application responsiveness.
By the end of this module, learners will understand the SAP Analytics Cloud architecture, recognize the factors that influence performance, and use SAP performance analysis tools to investigate and resolve performance issues.
According to the official SAP Learning Journey, this module focuses on SAP Analytics Cloud architecture, understanding performance impacts, and using performance analysis tools.
SAP Analytics Cloud consists of multiple architectural components that work together to deliver analytics, planning, reporting, and business intelligence capabilities. Understanding how these components interact is essential for designing high-performing analytics solutions.
Participants will explore the SAP Analytics Cloud architecture, identify performance-sensitive components, and understand how system design, data sources, models, and network communication influence application performance.
Performance Analysis Tools help administrators, consultants, and developers measure application responsiveness, identify slow-performing components, analyze requests, and troubleshoot performance bottlenecks. Learners will understand how to use SAP Analytics Cloud performance tools to improve solution efficiency.
Well-designed stories are essential for delivering responsive dashboards, visualizations, and analytical applications. Efficient story design reduces processing time, minimizes unnecessary data requests, and provides users with a seamless analytics experience.
This module focuses on performance optimization techniques for SAP Analytics Cloud story design. Learners will explore best practices for story development, optimize data loading strategies, improve script performance, and troubleshoot common performance issues related to story creation.
By the end of this module, learners will be able to design high-performance SAP Analytics Cloud stories using SAP-recommended best practices while improving overall user experience.
According to the official SAP Learning Journey, this module covers story design, performance optimization, data loading optimization, and script performance improvements.
Story design directly affects application responsiveness and user experience. Learners will understand how page layouts, widgets, visualizations, filters, calculations, and data models influence overall performance and scalability.
Optimizing story design involves minimizing unnecessary calculations, reducing rendering complexity, improving visualization efficiency, and applying SAP best practices that enhance application responsiveness.
Efficient data loading is essential for responsive analytics. Participants will learn techniques to reduce data retrieval time, optimize queries, minimize unnecessary data transfers, and improve dashboard responsiveness.
Scripts automate calculations and business logic within SAP Analytics Cloud. Learners will understand scripting best practices that reduce execution time, improve maintainability, and increase application responsiveness.
Planning applications in SAP Analytics Cloud enable organizations to perform budgeting, forecasting, financial planning, workforce planning, and operational planning in a collaborative cloud environment. As planning models become larger and more complex, optimizing their performance becomes essential to ensure fast calculations, responsive user interactions, and efficient planning processes.
This module focuses on planning performance optimization within SAP Analytics Cloud. Learners will understand the factors that influence planning performance, optimize planning models, improve planning story responsiveness, and apply SAP-recommended best practices to create scalable and high-performing planning applications.
By the end of this module, learners will be able to optimize planning models and planning stories while minimizing performance bottlenecks and improving the overall planning experience.
According to the official SAP Learning Journey, this module covers planning performance, planning model optimization, and planning story optimization in SAP Analytics Cloud.
Planning performance depends on several factors, including model design, data volume, calculations, user interactions, and planning workflows. Participants will explore how planning architecture influences responsiveness and learn techniques for identifying performance-sensitive planning activities.
Efficient planning models improve calculation speed, reduce processing overhead, and provide better scalability for enterprise planning scenarios. Learners will apply best practices for optimizing planning models, dimensions, calculations, and data structures.
Planning stories should be designed for fast user interaction, efficient calculations, and responsive dashboards. Participants will learn techniques for optimizing planning stories, reducing unnecessary processing, and improving the planning user experience.
Throughout this course, learners will complete hands-on exercises using SAP Analytics Cloud (SAC) to analyze, optimize, and troubleshoot the performance of analytics and planning applications.
Participants will perform the following practical activities:
In this capstone project, learners will optimize a fictional enterprise SAP Analytics Cloud environment supporting executive dashboards, operational reporting, and enterprise planning.
Participants will analyze architecture, identify bottlenecks, optimize story design, improve data loading, tune scripting, optimize planning models, and validate performance improvements using SAP performance analysis tools.
The project follows the official Managing Performance in SAP Analytics Cloud Learning Journey.
Analyze:
Optimize:
Improve:
Perform:
Develop:
Upon successful completion of this capstone project, learners will be able to: