SAP Anlaytics Cloud (SAC) Training Content
ExpertSoft offers premier SAP Analytics Cloud Training, tailored for enterprises needing SAP cloud corporate training that drives business intelligence, planning, and predictive analytics with SAP Analytics Cloud (SAC). Our curriculum includes in-depth modules: SAC architecture & positioning; modeling (dimensions, measures, geo-dimensions, blending); BI with story design, templates and dashboards; augmented analytics (Smart Insights, Smart Discovery); planning (data models, versioning, what-if analysis, value driver trees); analytics designer; user roles, security, and live data integrations. This Best SAP Cloud Training experience is ideal for corporates and individuals preparing for SAP cloud corporate certification training, seeking to demonstrate expertise, handle real-world scenarios, and leverage SAC for decision-making. Enroll today to master SAP SAC tools, get certification, and transform data into strategic insights.
We provide the latest version system access with excellent speed and 24 ×7 support, ensuring a seamless learning experience. Classes are delivered online via GoToMeeting and WebEx, making it easy to learn from anywhere. Our SAP Analytics Cloud Training is trusted by thousands of learners across the USA, UK, Singapore, India, South Africa, Australia, New Zealand, and Dubai. We also troubleshoot issues in real time and address queries during and after the training sessions.
After completing the course, we support you in clearing interviews and guide you to achieve SAP Analytics Cloud Certification Training for better career opportunities. We ensure 100% satisfaction with our training approach, offering the best quality real-time online training that prepares you for both practical project scenarios and professional growth. Our commitment goes beyond course completion, providing you with the confidence and expertise to succeed in the SAP domain.
Module 1: Overview and Positioning
Topic 1: Analytics Cloud Architecture Overview
Topic 2: SAC vs other BI tools
Topic 3: Benefits and core functionalities of SAC
Topic 4: Cloud vs On-Premises vs Hybrid
Topic 5: Analytics Cloud Client Tools and Importance
Module 2: Modeling
Topic 1: What is Model
Topic 2: Components of Model
Topic 3: Working with Dimension and Classification
Topic 4: Configuring Geo-Dimension
Topic 5: Working with Measures
Topic 6: Working with Transformations
Topic 7: Working with Variables
Topic 8: Data Blending
Module 3: Business Intelligence
Topic 1: Designing SAC Stories
Topic 2: Working with Custom Templates
Topic 3: Working with Standard Templates
Topic 4: Working with Canvas-Responsive and Grid modes
Topic 5: Working with Designer (Builder panel, Styling Panel)
Topic 6: Filters in SAC
Topic 7: Query Level filters
Topic 8: Story level filters
Topic 9: Page-level filters
Topic 10: Widget level filters
Topic 11: Advanced Filters
Module 4: Analytics Cloud Training Technical
Topic 1: Linked Analysis
Topic 2: Hyperlinking
Topic 3: Conditional Formatting
Topic 4: Customizing Measures
Topic 5: Customizing Dimensions
Topic 6: Data blending
Topic 7: Working with Chart widget
Topic 8: Working with a Table widget
Topic 9: Working with Geo Map widget
Topic 10: R language basics
Topic 11: Generating R based Stories
Topic 12: Import data connection from Google drive
Module 5: Augmented Analytics
Topic 1: What is Augmented Analytics
Topic 2: Smart Search
Topic 3: Smart Discovery
Topic 4: Smart Insights
Module 6: Planning with SAC
Topic 1: How to develop planning data models in SAC
Topic 2: Understand measures, accounts, hierarchies, currency conversion
Topic 3: Manage versions of planning
Topic 4: Create planning stories
Topic 5: Planning functions – variance, forecast, version management
Topic 6: What if analysis
Topic 7: Allocations
Topic 8: Spreading and Distributions
Topic 9: Value Driver Tree- VDT
Topic 10: Data actions and insights
Topic 11: Live Data connection to BPC system
Topic 12: Collaboration
Module 7: Analytics Designer
Topic 1: What is Analytics Designer
Topic 2: Difference between SAC Stories vs Analytics Designer
Topic 3: Analytics Designer overview and walkthrough
Topic 4: Outline, Designer, Error, and reference panels
Topic 5: Design mode vs Run mode vs View mode
Module 8: Analytics Cloud Training Technical
Topic 1: Designing basic Analytic application
Topic 2: working with Container widgets
Topic 3: Implementing filters
Topic 4: working with Drop-down, Radio button, Checkbox components
Topic 5: working with script variables
Topic 6: working with script objects
Topic 7: Configuring and implementing Dynamic Visibility
Topic 8: Implementing Hyperlinking and Explorer option
Topic 9: Using APIs to integration with Smart discovery, smart insights
Topic 10: Embedding the webpages inside the Analytic designer
Topic 11: Embedding SAC app inside other webpages
Topic 12: Live Data connection to Application Program ON HDB for integration
Topic 13: Close loop scenarios with OData Integration
Module 9: Predictive Scenario
Topic 1: Predictive scenario overview
Topic 2: SAC Stories vs SAC Applications vs SAC Predictive
Topic 3: Working with Datasets, Variables
Topic 4: Understand Regression
Topic 5: Understand Logistic Regression, RoC Curves, AUC Curve
Topic 6: Model performance and Confusion Matrix
Topic 7: Profit Simulation for Classification
Topic 8: Implementing Classification Precative Model
Topic 9: Implementing Regression Predictive Model
Topic 10: Residual and MAPE Concept in Regression
Topic 11: Trend, Cycle, Residual and Variations concepts
Topic 12: Implementing a Time series Predictive Model
Topic 13: Generating predictive stories
Module 10: Administration
Topic 1: SAC Administration Overview
Topic 2: Roles (Standard vs Custom)
Topic 3: Team
Topic 4: Users
Topic 5: Working with data loading and scheduling
Topic 6: Cloud connector
Topic 7: Analytics Cloud Agent
Module 11: SAC Roadmap and Certification
