UNIT-1: Overview and Positioning

• Analytics Cloud Architecture Overview
• SAC vs other BI tools
• Benefits and core functionalities of SAC
• Cloud vs On-Premise vs Hybrid
• Analytics Cloud Client tools and Importance

UNIT-2: Modelling

• What is MODEL
• Components of MODEL
• Working with Dimension and Classification
• Configuring Geo-Dimension
• Working with Measures
• Working with Transformations
• Working with Variables
• Data Blending

UNIT-3: Business Intelligence

• Designing SAC Stories
• Working with Custom Templates
• Working with Standard Templates
• Working with Canvas-Responsive and Grid modes
• Working with Designer (Builder panel, Styling Panel)
• Filters in SAC
• Query level filters
• Story level filters
• Page-level filters
• Widget level filters
• Advanced Filters
• Linked Analysis
• Hyperlinking
• Conditional Formatting
• Customizing Measures
• Customizing Dimensions
• Data blending
• Working with Chart widget
• Working with a Table widget
• Working with Geo Map widget
• R language basics
• Generating R based Stories
• Import data connection from Google drive

UNIT-4 Augmented Analytics

• What is Augmented Analytics
• Smart Search
• Smart Discovery
• Smart Insights

UNIT-5: Planning with SAC

• How to develop planning data models in SAC
• Understand measures, accounts, hierarchies, currency conversion
• Manage versions of planning
• Create planning stories
• Planning functions – variance, forecast, version management
• What if analysis
• Allocations
• Spreading and Distributions
• Value Driver Tree- VDT
• Data actions and insights
• Live Data connection to BPC system
• Collaboration

UNIT-6: Analytics Designer

• What is Analytics Designer
• Difference between SAC Stories vs Analytics Designer
• Analytics Designer overview and walkthrough
• Outline, Designer, Error, and reference panels
• Design mode vs Run mode vs View mode
• Designing basic Analytic application
• Working with Container widgets
• Implementing filters
• Working with Drop-down, Radio button, Checkbox components
• Working with script variables
• Working with script objects
• Configuring and implementing Dynamic Visibility
• Implementing Hyperlinking and Explorer option
• Using APIs to integration with Smart discovery, smart insights
• Embedding the webpages inside the Analytic designer
• Embedding SAC app inside other webpages
• Live Data connection to Application Program ON HDB for integration
• Close loop scenarios with OData Integration

UNIT-7: Predictive Scenario

• Predictive scenario overview
• SAC Stories vs SAC Applications vs SAC Predictive
• Working with Datasets, Variables
• Understand Regression
• Understand Logistic Regression, RoC Curves, AUC Curve
• Model performance and Confusion Matrix
• Profit Simulation for Classification
• Implementing Classification Precative Model
• Implementing Regression Predictive Model
• Residual and MAPE Concept in Regression
• Trend, Cycle, Residual and Variations concepts
• Implementing a Time series Predictive Model
• Generating predictive stories

UNIT-8: Administration

• SAC Administration Overview
• Roles (Standard vs Custom)
• Team
• Users
• Working with data loading and scheduling
• Cloud connector
• Analytics Cloud Agent

UNIT-9: SAC Roadmap and Certification