Mastering SAP Analytics Cloud for Enterprise Decision-Making
You're under pressure. Data is piling up, stakeholders demand answers, and your current analytics tools aren't delivering clarity-only complexity. You need to move fast, but every decision feels like a gamble without reliable insight. You’re not alone. Finance leads, supply chain directors, and operations managers across global enterprises are struggling to turn data into direction. The cost? Missed opportunities, delayed strategies, and eroded credibility at the leadership table. But what if you could walk into your next executive meeting with a board-ready dashboard that answers the critical question: “Where should we allocate resources to maximise growth and minimise risk?” Mastering SAP Analytics Cloud for Enterprise Decision-Making is engineered for professionals who are tired of reactive reporting and ready to lead with foresight. This is not a theory course. It’s a field-tested system that takes you from overwhelmed to empowered-delivering a fully operational, enterprise-grade analytics use case in under 30 days. One recent learner, a senior financial analyst at a multinational manufacturing firm, used this method to build a predictive cash flow model that identified a $2.3M liquidity risk three quarters early. Her proposal was fast-tracked by CFO office. She’s now leading analytics enablement across three divisions. This is what happens when clarity meets execution. No more guesswork. No more spreadsheet chaos. Just results that align data with strategy. Here’s how this course is structured to help you get there.Course Format & Delivery Details Learn on Your Terms-Zero Time Conflicts, Maximum Flexibility
This is a self-paced, on-demand learning experience designed for busy professionals. You gain immediate online access and progress at your own speed, without fixed schedules or rigid timelines. Most learners complete the core implementation in 4 to 6 weeks-while applying every lesson directly to their current business challenges. Results are not delayed. From day one, you build real-world models, configure live dashboards, and validate decision logic applicable to your organisation. Lifetime Access. No Expiry. No Extra Costs.
You receive lifetime access to the full course content, including all future updates. SAP Analytics Cloud evolves-so does this course. Updates are rolled in automatically, ensuring your skills remain relevant, compliant, and cutting-edge, year after year. Accessible Anywhere-Desktop, Tablet, or Mobile
The entire learning platform is mobile-friendly and optimised for 24/7 global access. Whether you're reviewing strategy frameworks on a train or modelling scenarios during a flight layover, your progress syncs seamlessly across all devices. Guided Support from Industry-Experienced Instructors
You're never working in isolation. Direct instructor support is available throughout your journey. Get answers to implementation questions, validation on your use case design, and detailed feedback on your final project-all from SAP-certified practitioners with enterprise deployment experience. Earn a Globally Recognised Certificate of Completion
Upon finishing, you earn a Certificate of Completion issued by The Art of Service. This credential is trusted by professionals in over 120 countries and recognised by employers for its emphasis on applied, outcome-driven learning. It demonstrates not just knowledge, but proven capability. Transparent Pricing. No Hidden Fees. No Surprises.
The price includes everything: curriculum, tools, templates, support, updates, and certification. There are no additional charges, no tiered access, and no premium upgrades. What you see is what you get-full access from the start. Pay Securely with Trusted Global Methods
We accept Visa, Mastercard, and PayPal. Transactions are secured with enterprise-grade encryption, ensuring your details remain protected at all times. 100% Satisfaction Guarantee: Try It Risk-Free
We stand behind the value of this course with a definitive promise: if you complete the first two modules and don't believe you’re gaining actionable, career-advancing skills, contact us for a full refund. There are no hoops to jump through. No arguments. Just results or your money back. Enrolment = Instant Confirmation, Structured Access
Once enrolled, you’ll receive an email confirmation. Your access details are sent separately once your learning environment is fully provisioned. This ensures a stable, personalised setup before you begin-so your first login is smooth, efficient, and productive. “Will This Work for Me?” We’ve Got You Covered.
You might be thinking: “I’m not a data scientist.” “My company uses legacy SAP systems.” “I don’t have admin rights.” “I’ve tried training before and nothing stuck.” Here’s the truth: This course works even if you’re starting with only foundational SAP knowledge. It’s structured for real-world constraints. You’ll learn how to model without full data access, deploy dashboards in restricted environments, and integrate SAC with non-SAP data sources used daily across finance, sales, and logistics. One procurement manager with limited system access used step-by-step sandbox techniques from Module 3 to build a spend analytics report using exported CSV files. The insight exposed a 17% overspend in indirect categories-and was adopted company-wide. Another participant in a regulated banking environment applied governance frameworks from Module 7 to create an auditable analytics workflow that passed internal compliance review on the first submission. This works because it’s not about perfection-it’s about progress with purpose. Every resource is designed to overcome common roadblocks, reduce friction, and deliver tangible outcomes-no matter your starting point. You’re protected by full risk reversal. You only keep what delivers value.
Module 1: Foundations of Enterprise Analytics and SAP Analytics Cloud - Understanding the role of analytics in strategic decision-making
- Evolution from reporting to predictive and augmented analytics
- Key components of SAP Analytics Cloud architecture
- Differences between planning, business intelligence, and predictive capabilities
- Overview of the SAC interface and navigation
- How SAC integrates with SAP and non-SAP data sources
- Establishing your analytics governance mindset
- Defining success criteria for enterprise analytics projects
- Identifying high-impact use cases in finance, supply chain, and operations
- Building a personal learning roadmap aligned to business goals
Module 2: Data Integration and Modelling Fundamentals - Connecting to live data sources: SAP S/4HANA, BW, and ECC
- Importing flat files: Excel, CSV, and JSON formats
- Using the Data Manager to schedule data imports
- Understanding models: Analytic, Planning, and Mixed
- Building a private data model from scratch
- Adding dimensions and measures using business-ready templates
- Data categorisation: currency, date, hierarchy, and geography
- Renaming and formatting fields for business clarity
- Creating calculated measures with formula assistance
- Using filters to pre-aggregate data for performance
- Setting data granularity and time profiles
- Managing data storage types: in-memory vs hybrid
- Handling large datasets with aggregation strategies
- Validating data integrity with sample preview and error logs
- Exporting model definitions for team sharing
Module 3: Advanced Data Modelling and Blending Techniques - Joining multiple data sources using model relationships
- Configuring one-to-many and many-to-one dimension mappings
- Resolving conflicts in hierarchy structures across models
- Blending non-SAP data with SAP operational data
- Using lookup logic to enrich dimension attributes
- Creating time-dependent hierarchies for organisational changes
- Implementing currency conversion within models
- Setting up version management for planning scenarios
- Importing master data using CSV and flat files
- Validating model consistency with data quality checks
- Optimising model performance with data pruning
- Using shared dimensions across multiple models
- Creating reusable calculation views for repeat processes
- Setting default measures and drill-down paths
- Documenting data lineage for governance and audit
Module 4: Dashboard Design and Interactive Storytelling - Introduction to stories in SAC and their business purpose
- Selecting the right story type: responsive, canvas, or analytical
- Adding charts: bar, line, pie, scatter, and heat maps
- Choosing optimal visuals for KPIs, trends, and comparisons
- Using geo maps with built-in and custom location data
- Applying conditional formatting to highlight thresholds
- Building dynamic titles and text panels with live values
- Using filters: single, multiple, and range-based controls
- Configuring input controls for user interactivity
- Linking multiple pages within a story for navigation
- Adding bookmarks to save specific views
- Using comments and annotations for collaboration
- Setting up mobile-responsive layouts for tablet viewing
- Applying corporate branding: logos, fonts, and colours
- Exporting stories to PDF and PowerPoint with live updates
Module 5: Predictive and Artificial Intelligence Capabilities - Understanding built-in predictive functions in SAC
- Enabling predictive scenarios with minimal data
- Using time series forecasting for revenue, demand, and inventory
- Interpreting prediction intervals and confidence levels
- Applying classification models to customer segmentation
- Detecting outliers in financial and operational data
- Running what-if analysis using predictive assumptions
- Generating trends and forecasts with automated suggestions
- Validating model accuracy using R-squared and error rates
- Leveraging SAP’s pre-trained AI models for anomaly detection
- Using natural language generation to auto-describe results
- Embedding predictive widgets into dashboards
- Setting up automatic refresh for live predictions
- Naming conventions for predictive model documentation
- Differentiating supervised and unsupervised learning use cases
Module 6: Planning and Scenario Modelling - Setting up a planning model with dimensions and hierarchies
- Defining versions: actuals, budget, forecast, and reforecast
- Creating time-based planning calendars: monthly, quarterly, yearly
- Allocating values across organisational units using distribution keys
- Applying business rules: currency translation, intercompany elimination
- Building input forms for budget submission workflows
- Designing approval processes with role-based access
- Using comments and annotations within planning cycles
- Running variance analysis: actual vs plan with drill-down
- Automating data duplication across versions and periods
- Using predictive suggestions to accelerate forecasting
- Creating roll-forward models for multi-year projections
- Integrating driver-based planning using key metrics
- Validating plan data with custom checks and alerts
- Exporting planning outputs to SAP BPC and Excel
Module 7: Governance, Security, and Compliance - Understanding the SAC security model: roles and teams
- Defining user roles: viewer, modeler, planner, administrator
- Creating custom roles with granular permissions
- Assigning data access by dimension: organisational, cost centre, region
- Implementing cell-level security for sensitive financial data
- Setting up audit logs for tracking user activity
- Managing content ownership and handover procedures
- Applying data retention policies for compliance
- Using the Organizational Model for hierarchical access
- Configuring single sign-on with SAP Identity Management
- Integrating with external identity providers
- Setting up monitoring dashboards for system usage
- Implementing backup and restore procedures for critical models
- Creating disaster recovery documentation for analytics infrastructure
- Aligning analytics governance with SOX, GDPR, and internal audit
Module 8: Collaboration and Workflow Integration - Sharing stories and models with team members
- Setting up comment threads for collaborative feedback
- Using discussion panels for asynchronous review
- Creating content folders with access controls
- Publishing templates for standardised reporting
- Subscribing users to automated story deliveries
- Scheduling email distribution with dynamic filters
- Embedding stories into SAP Jam and Microsoft Teams
- Integrating with SAP Build Apps for low-code solutions
- Using the SAP Analytics Cloud API for custom integrations
- Triggering alerts based on KPI thresholds
- Setting up task assignments within planning cycles
- Linking analytics to SAP SuccessFactors for HCM insights
- Connecting with SAP Ariba for procurement analytics
- Building cross-functional workflows across finance and operations
Module 9: Real-World Analytics Use Case Implementation - Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Understanding the role of analytics in strategic decision-making
- Evolution from reporting to predictive and augmented analytics
- Key components of SAP Analytics Cloud architecture
- Differences between planning, business intelligence, and predictive capabilities
- Overview of the SAC interface and navigation
- How SAC integrates with SAP and non-SAP data sources
- Establishing your analytics governance mindset
- Defining success criteria for enterprise analytics projects
- Identifying high-impact use cases in finance, supply chain, and operations
- Building a personal learning roadmap aligned to business goals
Module 2: Data Integration and Modelling Fundamentals - Connecting to live data sources: SAP S/4HANA, BW, and ECC
- Importing flat files: Excel, CSV, and JSON formats
- Using the Data Manager to schedule data imports
- Understanding models: Analytic, Planning, and Mixed
- Building a private data model from scratch
- Adding dimensions and measures using business-ready templates
- Data categorisation: currency, date, hierarchy, and geography
- Renaming and formatting fields for business clarity
- Creating calculated measures with formula assistance
- Using filters to pre-aggregate data for performance
- Setting data granularity and time profiles
- Managing data storage types: in-memory vs hybrid
- Handling large datasets with aggregation strategies
- Validating data integrity with sample preview and error logs
- Exporting model definitions for team sharing
Module 3: Advanced Data Modelling and Blending Techniques - Joining multiple data sources using model relationships
- Configuring one-to-many and many-to-one dimension mappings
- Resolving conflicts in hierarchy structures across models
- Blending non-SAP data with SAP operational data
- Using lookup logic to enrich dimension attributes
- Creating time-dependent hierarchies for organisational changes
- Implementing currency conversion within models
- Setting up version management for planning scenarios
- Importing master data using CSV and flat files
- Validating model consistency with data quality checks
- Optimising model performance with data pruning
- Using shared dimensions across multiple models
- Creating reusable calculation views for repeat processes
- Setting default measures and drill-down paths
- Documenting data lineage for governance and audit
Module 4: Dashboard Design and Interactive Storytelling - Introduction to stories in SAC and their business purpose
- Selecting the right story type: responsive, canvas, or analytical
- Adding charts: bar, line, pie, scatter, and heat maps
- Choosing optimal visuals for KPIs, trends, and comparisons
- Using geo maps with built-in and custom location data
- Applying conditional formatting to highlight thresholds
- Building dynamic titles and text panels with live values
- Using filters: single, multiple, and range-based controls
- Configuring input controls for user interactivity
- Linking multiple pages within a story for navigation
- Adding bookmarks to save specific views
- Using comments and annotations for collaboration
- Setting up mobile-responsive layouts for tablet viewing
- Applying corporate branding: logos, fonts, and colours
- Exporting stories to PDF and PowerPoint with live updates
Module 5: Predictive and Artificial Intelligence Capabilities - Understanding built-in predictive functions in SAC
- Enabling predictive scenarios with minimal data
- Using time series forecasting for revenue, demand, and inventory
- Interpreting prediction intervals and confidence levels
- Applying classification models to customer segmentation
- Detecting outliers in financial and operational data
- Running what-if analysis using predictive assumptions
- Generating trends and forecasts with automated suggestions
- Validating model accuracy using R-squared and error rates
- Leveraging SAP’s pre-trained AI models for anomaly detection
- Using natural language generation to auto-describe results
- Embedding predictive widgets into dashboards
- Setting up automatic refresh for live predictions
- Naming conventions for predictive model documentation
- Differentiating supervised and unsupervised learning use cases
Module 6: Planning and Scenario Modelling - Setting up a planning model with dimensions and hierarchies
- Defining versions: actuals, budget, forecast, and reforecast
- Creating time-based planning calendars: monthly, quarterly, yearly
- Allocating values across organisational units using distribution keys
- Applying business rules: currency translation, intercompany elimination
- Building input forms for budget submission workflows
- Designing approval processes with role-based access
- Using comments and annotations within planning cycles
- Running variance analysis: actual vs plan with drill-down
- Automating data duplication across versions and periods
- Using predictive suggestions to accelerate forecasting
- Creating roll-forward models for multi-year projections
- Integrating driver-based planning using key metrics
- Validating plan data with custom checks and alerts
- Exporting planning outputs to SAP BPC and Excel
Module 7: Governance, Security, and Compliance - Understanding the SAC security model: roles and teams
- Defining user roles: viewer, modeler, planner, administrator
- Creating custom roles with granular permissions
- Assigning data access by dimension: organisational, cost centre, region
- Implementing cell-level security for sensitive financial data
- Setting up audit logs for tracking user activity
- Managing content ownership and handover procedures
- Applying data retention policies for compliance
- Using the Organizational Model for hierarchical access
- Configuring single sign-on with SAP Identity Management
- Integrating with external identity providers
- Setting up monitoring dashboards for system usage
- Implementing backup and restore procedures for critical models
- Creating disaster recovery documentation for analytics infrastructure
- Aligning analytics governance with SOX, GDPR, and internal audit
Module 8: Collaboration and Workflow Integration - Sharing stories and models with team members
- Setting up comment threads for collaborative feedback
- Using discussion panels for asynchronous review
- Creating content folders with access controls
- Publishing templates for standardised reporting
- Subscribing users to automated story deliveries
- Scheduling email distribution with dynamic filters
- Embedding stories into SAP Jam and Microsoft Teams
- Integrating with SAP Build Apps for low-code solutions
- Using the SAP Analytics Cloud API for custom integrations
- Triggering alerts based on KPI thresholds
- Setting up task assignments within planning cycles
- Linking analytics to SAP SuccessFactors for HCM insights
- Connecting with SAP Ariba for procurement analytics
- Building cross-functional workflows across finance and operations
Module 9: Real-World Analytics Use Case Implementation - Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Joining multiple data sources using model relationships
- Configuring one-to-many and many-to-one dimension mappings
- Resolving conflicts in hierarchy structures across models
- Blending non-SAP data with SAP operational data
- Using lookup logic to enrich dimension attributes
- Creating time-dependent hierarchies for organisational changes
- Implementing currency conversion within models
- Setting up version management for planning scenarios
- Importing master data using CSV and flat files
- Validating model consistency with data quality checks
- Optimising model performance with data pruning
- Using shared dimensions across multiple models
- Creating reusable calculation views for repeat processes
- Setting default measures and drill-down paths
- Documenting data lineage for governance and audit
Module 4: Dashboard Design and Interactive Storytelling - Introduction to stories in SAC and their business purpose
- Selecting the right story type: responsive, canvas, or analytical
- Adding charts: bar, line, pie, scatter, and heat maps
- Choosing optimal visuals for KPIs, trends, and comparisons
- Using geo maps with built-in and custom location data
- Applying conditional formatting to highlight thresholds
- Building dynamic titles and text panels with live values
- Using filters: single, multiple, and range-based controls
- Configuring input controls for user interactivity
- Linking multiple pages within a story for navigation
- Adding bookmarks to save specific views
- Using comments and annotations for collaboration
- Setting up mobile-responsive layouts for tablet viewing
- Applying corporate branding: logos, fonts, and colours
- Exporting stories to PDF and PowerPoint with live updates
Module 5: Predictive and Artificial Intelligence Capabilities - Understanding built-in predictive functions in SAC
- Enabling predictive scenarios with minimal data
- Using time series forecasting for revenue, demand, and inventory
- Interpreting prediction intervals and confidence levels
- Applying classification models to customer segmentation
- Detecting outliers in financial and operational data
- Running what-if analysis using predictive assumptions
- Generating trends and forecasts with automated suggestions
- Validating model accuracy using R-squared and error rates
- Leveraging SAP’s pre-trained AI models for anomaly detection
- Using natural language generation to auto-describe results
- Embedding predictive widgets into dashboards
- Setting up automatic refresh for live predictions
- Naming conventions for predictive model documentation
- Differentiating supervised and unsupervised learning use cases
Module 6: Planning and Scenario Modelling - Setting up a planning model with dimensions and hierarchies
- Defining versions: actuals, budget, forecast, and reforecast
- Creating time-based planning calendars: monthly, quarterly, yearly
- Allocating values across organisational units using distribution keys
- Applying business rules: currency translation, intercompany elimination
- Building input forms for budget submission workflows
- Designing approval processes with role-based access
- Using comments and annotations within planning cycles
- Running variance analysis: actual vs plan with drill-down
- Automating data duplication across versions and periods
- Using predictive suggestions to accelerate forecasting
- Creating roll-forward models for multi-year projections
- Integrating driver-based planning using key metrics
- Validating plan data with custom checks and alerts
- Exporting planning outputs to SAP BPC and Excel
Module 7: Governance, Security, and Compliance - Understanding the SAC security model: roles and teams
- Defining user roles: viewer, modeler, planner, administrator
- Creating custom roles with granular permissions
- Assigning data access by dimension: organisational, cost centre, region
- Implementing cell-level security for sensitive financial data
- Setting up audit logs for tracking user activity
- Managing content ownership and handover procedures
- Applying data retention policies for compliance
- Using the Organizational Model for hierarchical access
- Configuring single sign-on with SAP Identity Management
- Integrating with external identity providers
- Setting up monitoring dashboards for system usage
- Implementing backup and restore procedures for critical models
- Creating disaster recovery documentation for analytics infrastructure
- Aligning analytics governance with SOX, GDPR, and internal audit
Module 8: Collaboration and Workflow Integration - Sharing stories and models with team members
- Setting up comment threads for collaborative feedback
- Using discussion panels for asynchronous review
- Creating content folders with access controls
- Publishing templates for standardised reporting
- Subscribing users to automated story deliveries
- Scheduling email distribution with dynamic filters
- Embedding stories into SAP Jam and Microsoft Teams
- Integrating with SAP Build Apps for low-code solutions
- Using the SAP Analytics Cloud API for custom integrations
- Triggering alerts based on KPI thresholds
- Setting up task assignments within planning cycles
- Linking analytics to SAP SuccessFactors for HCM insights
- Connecting with SAP Ariba for procurement analytics
- Building cross-functional workflows across finance and operations
Module 9: Real-World Analytics Use Case Implementation - Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Understanding built-in predictive functions in SAC
- Enabling predictive scenarios with minimal data
- Using time series forecasting for revenue, demand, and inventory
- Interpreting prediction intervals and confidence levels
- Applying classification models to customer segmentation
- Detecting outliers in financial and operational data
- Running what-if analysis using predictive assumptions
- Generating trends and forecasts with automated suggestions
- Validating model accuracy using R-squared and error rates
- Leveraging SAP’s pre-trained AI models for anomaly detection
- Using natural language generation to auto-describe results
- Embedding predictive widgets into dashboards
- Setting up automatic refresh for live predictions
- Naming conventions for predictive model documentation
- Differentiating supervised and unsupervised learning use cases
Module 6: Planning and Scenario Modelling - Setting up a planning model with dimensions and hierarchies
- Defining versions: actuals, budget, forecast, and reforecast
- Creating time-based planning calendars: monthly, quarterly, yearly
- Allocating values across organisational units using distribution keys
- Applying business rules: currency translation, intercompany elimination
- Building input forms for budget submission workflows
- Designing approval processes with role-based access
- Using comments and annotations within planning cycles
- Running variance analysis: actual vs plan with drill-down
- Automating data duplication across versions and periods
- Using predictive suggestions to accelerate forecasting
- Creating roll-forward models for multi-year projections
- Integrating driver-based planning using key metrics
- Validating plan data with custom checks and alerts
- Exporting planning outputs to SAP BPC and Excel
Module 7: Governance, Security, and Compliance - Understanding the SAC security model: roles and teams
- Defining user roles: viewer, modeler, planner, administrator
- Creating custom roles with granular permissions
- Assigning data access by dimension: organisational, cost centre, region
- Implementing cell-level security for sensitive financial data
- Setting up audit logs for tracking user activity
- Managing content ownership and handover procedures
- Applying data retention policies for compliance
- Using the Organizational Model for hierarchical access
- Configuring single sign-on with SAP Identity Management
- Integrating with external identity providers
- Setting up monitoring dashboards for system usage
- Implementing backup and restore procedures for critical models
- Creating disaster recovery documentation for analytics infrastructure
- Aligning analytics governance with SOX, GDPR, and internal audit
Module 8: Collaboration and Workflow Integration - Sharing stories and models with team members
- Setting up comment threads for collaborative feedback
- Using discussion panels for asynchronous review
- Creating content folders with access controls
- Publishing templates for standardised reporting
- Subscribing users to automated story deliveries
- Scheduling email distribution with dynamic filters
- Embedding stories into SAP Jam and Microsoft Teams
- Integrating with SAP Build Apps for low-code solutions
- Using the SAP Analytics Cloud API for custom integrations
- Triggering alerts based on KPI thresholds
- Setting up task assignments within planning cycles
- Linking analytics to SAP SuccessFactors for HCM insights
- Connecting with SAP Ariba for procurement analytics
- Building cross-functional workflows across finance and operations
Module 9: Real-World Analytics Use Case Implementation - Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Understanding the SAC security model: roles and teams
- Defining user roles: viewer, modeler, planner, administrator
- Creating custom roles with granular permissions
- Assigning data access by dimension: organisational, cost centre, region
- Implementing cell-level security for sensitive financial data
- Setting up audit logs for tracking user activity
- Managing content ownership and handover procedures
- Applying data retention policies for compliance
- Using the Organizational Model for hierarchical access
- Configuring single sign-on with SAP Identity Management
- Integrating with external identity providers
- Setting up monitoring dashboards for system usage
- Implementing backup and restore procedures for critical models
- Creating disaster recovery documentation for analytics infrastructure
- Aligning analytics governance with SOX, GDPR, and internal audit
Module 8: Collaboration and Workflow Integration - Sharing stories and models with team members
- Setting up comment threads for collaborative feedback
- Using discussion panels for asynchronous review
- Creating content folders with access controls
- Publishing templates for standardised reporting
- Subscribing users to automated story deliveries
- Scheduling email distribution with dynamic filters
- Embedding stories into SAP Jam and Microsoft Teams
- Integrating with SAP Build Apps for low-code solutions
- Using the SAP Analytics Cloud API for custom integrations
- Triggering alerts based on KPI thresholds
- Setting up task assignments within planning cycles
- Linking analytics to SAP SuccessFactors for HCM insights
- Connecting with SAP Ariba for procurement analytics
- Building cross-functional workflows across finance and operations
Module 9: Real-World Analytics Use Case Implementation - Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Selecting your high-impact use case: finance, sales, supply chain, or HR
- Defining measurable business outcomes and success criteria
- Gathering stakeholder requirements using a structured template
- Mapping data sources and availability constraints
- Building a data model tailored to your use case
- Designing a dashboard with decision-enabling visuals
- Incorporating predictive insights for forward-looking analysis
- Adding planning capabilities for scenario testing
- Applying role-based security for governance
- Testing with sample stakeholders for usability feedback
- Refining visual hierarchy and interactivity
- Documenting technical and business assumptions
- Creating a deployment checklist for go-live
- Publishing the final story to a shared space
- Presenting the solution with a board-ready narrative
Module 10: Optimisation and Performance Tuning - Analysing story load times and identifying bottlenecks
- Reducing data volume with pre-filtering at model level
- Optimising chart types for faster rendering
- Limiting auto-refresh frequency in live dashboards
- Using caching strategies for frequently accessed stories
- Monitoring system performance with usage analytics
- Minimising complex calculations in visualisations
- Replacing expensive functions with pre-aggregated measures
- Using bookmarks to reduce initial load complexity
- Splitting large stories into modular components
- Testing performance on mobile and low-bandwidth devices
- Creating lightweight versions for mass distribution
- Using diagnostic tools to trace data query execution
- Implementing naming standards for performance debugging
- Documenting optimisation decisions for team handover
Module 11: Enterprise Integration and System Landscape Design - Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Understanding SAC in the broader SAP landscape
- Integrating with SAP S/4HANA for real-time financials
- Connecting to SAP BW/4HANA for enterprise data warehouse access
- Using SAP Data Intelligence for advanced data pipelines
- Integrating with non-SAP systems: Oracle, Salesforce, Workday
- Using OData, REST, and JDBC connectors for custom sources
- Designing a central analytics hub with SAC at core
- Establishing data replication schedules for consistency
- Building hybrid scenarios: cloud and on-premise
- Managing metadata consistency across systems
- Creating golden records for cross-system KPIs
- Using SAP Cloud Connector for secure on-premise access
- Setting up trust relationships between SAP applications
- Designing integration architecture for scalability
- Documenting integration points for IT and audit teams
Module 12: Change Management and Stakeholder Adoption - Developing a communication plan for analytics rollout
- Creating user personas for training materials
- Designing role-based dashboards for different audiences
- Running pilot programmes with super-users
- Gathering feedback using structured surveys and interviews
- Iterating designs based on user experience input
- Building training guides and job aids for self-service
- Hosting live walkthroughs using collaboration tools
- Measuring adoption with usage analytics dashboards
- Addressing resistance with value-based storytelling
- Linking analytics outcomes to performance metrics
- Establishing a Centre of Excellence for ongoing support
- Defining roles: analytics champion, power user, admin
- Planning for continuous improvement cycles
- Creating a roadmap for scaling analytics across departments
Module 13: Certification, Career Advancement, and Next Steps - Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact
- Preparing for the final project assessment
- Submitting your use case for instructor review
- Receiving detailed feedback and improvement recommendations
- Finalising your board-ready analytics solution
- Uploading your project to the certification portal
- Earning your Certificate of Completion from The Art of Service
- Adding your credential to LinkedIn and professional profiles
- Using the certificate to support internal promotions
- Accessing advanced resources for continued learning
- Joining the alumni network for peer collaboration
- Receiving invitations to exclusive industry roundtables
- Staying updated with new SAC feature releases
- Participating in case study challenges for visibility
- Positioning yourself as the go-to analytics expert in your organisation
- Planning your next project: from insight to enterprise impact