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Bodhi IT

 4.5 (5 Reviews)

Course Duration

40 hour

About SAP SAC

SAP Analytics Cloud is a new tool in the SAP portfolio to meet the needs of data visualization in the cloud. It is delivered as an all-in-one, SaaS-based product. It covers the needs of data visualization, budget planning, and predictive analytics. SAP offers a complete solution when it comes to business intelligence. Accessible online in SaaS mode, SAC is becoming increasingly important in the SAP ecosystem. Eventually, it is destined to become the BI reference tool for the SAP Cloud suite. BODHI IT provides best SAP SAC Online Training in Hyderabad and all over world.

SAP SAC COURSE

Unit-1: Overview and Positioning of SAP Analytics Cloud
  • Overview and Positioning of SAP Analytics Cloud
  • Analytics Cloud Architecture Overview
  • SAC vs other BI tools
  • Benefits and core functionalities of SAC
  • Cloud vs On-Premises vs Hybrid
  • Analytics Cloud Client tools and Importance
  • Product Navigation and Fundamentals

Unit 2: Data Modelling
  • Data Model
  • Model and its Components
  • Working with Dimensions and measures
  • Working with Variables and Transformations
  • What is 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: Predictive/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’s
  • Collaboration

Unit 6: Analytics Designer
  • overview on Analytics Designer
  • Difference of Stories and Analytics Designer
  • Walk through of Analytics Designer.
  • Different Modes of Analytics Designer (Design, Run, View Mode’s) .

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 Certification and its Roadmap.

    SAP SAC COURSE

    • Overview and Positioning of SAP Analytics Cloud
    • Analytics Cloud Architecture Overview
    • SAC vs other BI tools
    • Benefits and core functionalities of SAC
    • Cloud vs On-Premises vs Hybrid
    • Analytics Cloud Client tools and Importance
    • Product Navigation and Fundamentals

    • Data Model
    • Model and its Components
    • Working with Dimensions and measures
    • Working with Variables and Transformations
    • What is Data Blending

    • 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

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

    • 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’s
    • Collaboration

    • overview on Analytics Designer
    • Difference of Stories and Analytics Designer
    • Walk through of Analytics Designer.
    • Different Modes of Analytics Designer (Design, Run, View Mode’s) .

    • 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

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


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Course Features

  • Students Limited
  • Certificate Yes
  • Skill Advance
  • Category Instrumentation

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    Training Features

    Live Online Training

    Live online training session will be given by our trainers and are available to answer your queries.

    Time flexibility

    We conduct classes in most of the day. We are flexible to train you according to your schedule.

    Real time scenario

    All of our trainers are come from different industry they are experts in explaining scenarios that are happening in real time.

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