Top Tips & Tricks for SAP Analytics Cloud (SAC)

[D066380]

Success with SAP Analytics Cloud depends on balancing performance, usability, and governance. By designing efficient data models, simplifying dashboards, leveraging AI-powered insights, securing data appropriately, and standardizing development practices, organizations can build scalable analytics solutions that deliver faster insights and a better user experience. Following these best practices helps reduce maintenance effort, improve report performance, and increase user adoption across the business:

Start with a Clear Data Model

A well-designed data model is the foundation of every successful SAC implementation.

Tips:

• Remove unnecessary dimensions and measures.
• Use meaningful names for dimensions and calculations.
• Create hierarchies for easier navigation.
• Minimize calculated measures when they can be created in the source system.

Benefit: Faster reports and easier maintenance.

Use Input Controls Effectively

Instead of creating multiple versions of the same story:

• Add input controls for dimensions like Region, Product, or Year.
• Allow users to filter dashboards themselves.
• Link multiple charts to a single input control.

Benefit: Cleaner dashboards with better user experience.

Optimize Story Performance

Large stories can become slow.

Best practices include:

• Limit the number of charts on a page.
• Avoid displaying excessive data.
• Use lazy loading where available.
• Reduce the number of widgets that refresh simultaneously.

Benefit: Faster dashboard loading times.

Master Bookmarks

Bookmarks allow users to save personalized dashboard views.

Use bookmarks to:

• Save favorite filters.
• Preserve chart layouts.
• Quickly switch between business scenarios.

Benefit: Improved productivity for recurring analysis.

Create Reusable Calculations

Instead of recreating formulas repeatedly:

• Use calculated measures.
• Create restricted measures.
• Use reusable calculated dimensions.

Benefit: Consistent calculations across reports

Use Conditional Formatting

Highlight important information automatically, by using an accepted color schema:

Example:

• Revenue below target → Red
• Revenue on target → Yellow
• Revenue above target → Green

Users immediately identify trends without reading every number.

 Keep Dashboards Simple

A common mistake is overcrowding dashboards.

Recommended guidelines:

• Focus on one business question per page.
• Use white space effectively.
• Limit colors.
• Avoid unnecessary visualizations.

Simple dashboards are easier to understand and maintain.

Use Templates

Instead of creating stories from scratch:

• Build corporate templates.
• Standardize colors.
• Use consistent fonts.
• Create reusable page layouts.

Benefit: Professional-looking reports with reduced development time.

Schedule Publications

Automate report distribution.

Examples:

• Weekly executive dashboards
• Monthly sales reports
• Daily KPI summaries

Automatic scheduling saves manual effort and ensures stakeholders receive up-to-date information.

Secure Data with Roles

Always implement role-based security.

Examples:

• Sales managers view only their region.
• HR users access employee data.
• Finance teams view financial models only.

Good security improves governance and compliance.

Use Data Actions for Planning

Planning users can automate repetitive tasks.

Examples:

• Currency conversion
• Data allocation
• Copy versions
• Forecast calculations

This reduces manual work and improves planning accuracy.

Monitor Performance Regularly

Regularly review:

• Slow-running stories
• Large models
• Complex calculations
• Frequently accessed dashboards

Continuous optimization prevents performance degradation as data grows.

Make Dashboards Mobile-Friendly

Many executives access reports on tablets or phones.

Design with:

• Responsive layouts
• Larger fonts
• Touch-friendly filters
• Simplified charts

This improves accessibility across devices.

Document Your Work

Maintain documentation for:

• Models
• Calculations
• Data sources
• Business rules
• Naming conventions

Good documentation simplifies onboarding and future enhancements.

Productivity Tricks

• Use keyboard shortcuts to speed up navigation.
• Group related widgets for easier page management.
• Hide technical dimensions that users don't need.
• Use meaningful chart titles that answer business questions.
• Apply consistent color coding across all dashboards.
• Test reports with real business users before publishing.
• Archive unused stories to keep the environment organized.
• Validate calculations against source systems before release.

Common Mistakes to Avoid

• Creating overly complex dashboards.
• Using too many calculated measures.
• Ignoring data model optimization.
• Displaying excessive detail on a single page.
• Inconsistent naming conventions.
• Skipping security configuration.
• Not testing performance with large datasets.
• Failing to document models and stories.

[D066380]

Success with SAP Analytics Cloud depends on balancing performance, usability, and governance. By designing efficient data models, simplifying dashboards, leveraging AI-powered insights, securing data appropriately, and standardizing development practices, organizations can build scalable analytics solutions that deliver faster insights and a better user experience. Following these best practices helps reduce maintenance effort, improve report performance, and increase user adoption across the business:

Start with a Clear Data Model

A well-designed data model is the foundation of every successful SAC implementation.

Tips:

• Remove unnecessary dimensions and measures.
• Use meaningful names for dimensions and calculations.
• Create hierarchies for easier navigation.
• Minimize calculated measures when they can be created in the source system.

Benefit: Faster reports and easier maintenance.

Use Input Controls Effectively

Instead of creating multiple versions of the same story:

• Add input controls for dimensions like Region, Product, or Year.
• Allow users to filter dashboards themselves.
• Link multiple charts to a single input control.

Benefit: Cleaner dashboards with better user experience.

Optimize Story Performance

Large stories can become slow.

Best practices include:

• Limit the number of charts on a page.
• Avoid displaying excessive data.
• Use lazy loading where available.
• Reduce the number of widgets that refresh simultaneously.

Benefit: Faster dashboard loading times.

Master Bookmarks

Bookmarks allow users to save personalized dashboard views.

Use bookmarks to:

• Save favorite filters.
• Preserve chart layouts.
• Quickly switch between business scenarios.

Benefit: Improved productivity for recurring analysis.

Create Reusable Calculations

Instead of recreating formulas repeatedly:

• Use calculated measures.
• Create restricted measures.
• Use reusable calculated dimensions.

Benefit: Consistent calculations across reports

Use Conditional Formatting

Highlight important information automatically, by using an accepted color schema:

Example:

• Revenue below target → Red
• Revenue on target → Yellow
• Revenue above target → Green

Users immediately identify trends without reading every number.

 Keep Dashboards Simple

A common mistake is overcrowding dashboards.

Recommended guidelines:

• Focus on one business question per page.
• Use white space effectively.
• Limit colors.
• Avoid unnecessary visualizations.

Simple dashboards are easier to understand and maintain.

Use Templates

Instead of creating stories from scratch:

• Build corporate templates.
• Standardize colors.
• Use consistent fonts.
• Create reusable page layouts.

Benefit: Professional-looking reports with reduced development time.

Schedule Publications

Automate report distribution.

Examples:

• Weekly executive dashboards
• Monthly sales reports
• Daily KPI summaries

Automatic scheduling saves manual effort and ensures stakeholders receive up-to-date information.

Secure Data with Roles

Always implement role-based security.

Examples:

• Sales managers view only their region.
• HR users access employee data.
• Finance teams view financial models only.

Good security improves governance and compliance.

Use Data Actions for Planning

Planning users can automate repetitive tasks.

Examples:

• Currency conversion
• Data allocation
• Copy versions
• Forecast calculations

This reduces manual work and improves planning accuracy.

Monitor Performance Regularly

Regularly review:

• Slow-running stories
• Large models
• Complex calculations
• Frequently accessed dashboards

Continuous optimization prevents performance degradation as data grows.

Make Dashboards Mobile-Friendly

Many executives access reports on tablets or phones.

Design with:

• Responsive layouts
• Larger fonts
• Touch-friendly filters
• Simplified charts

This improves accessibility across devices.

Document Your Work

Maintain documentation for:

• Models
• Calculations
• Data sources
• Business rules
• Naming conventions

Good documentation simplifies onboarding and future enhancements.

Productivity Tricks

• Use keyboard shortcuts to speed up navigation.
• Group related widgets for easier page management.
• Hide technical dimensions that users don't need.
• Use meaningful chart titles that answer business questions.
• Apply consistent color coding across all dashboards.
• Test reports with real business users before publishing.
• Archive unused stories to keep the environment organized.
• Validate calculations against source systems before release.

Common Mistakes to Avoid

• Creating overly complex dashboards.
• Using too many calculated measures.
• Ignoring data model optimization.
• Displaying excessive detail on a single page.
• Inconsistent naming conventions.
• Skipping security configuration.
• Not testing performance with large datasets.
• Failing to document models and stories.