SAP Analytics Cloud

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SAP Analytics Cloud is a robust, agile analytics platform. It can integrate the existing business apps; connect databases and different information sources. It can handle enterprise-level Internet of Things information, create analyzed visual output with segregated data and deliver consistent insights to the business that is easily accessible in the cloud.

Some of the benefits of SAP Analytics Cloud for medium and large-sized entities are: collaborative planning, generate data insights for faster and better business decision-making, a higher value from existing investments, easy communication, improved business performance, predictive analytics, faster return on investment, single source of data truth, customized dashboard, etc.

At Madhu Hasita Tech training institute, we will provide guidance, support, and advice on all the matters relating to your course right from the day you enroll. Our trainers are highly committed to your success in the industry, and they will help you earn industry-recognized qualifications and required skills. Commit yourself to a bright future.

SAP ANALYTICS CLOUD (SAC)

  • SAP Analytics Cloud Architecture Overview
  • SAC vs other BI tools
  • Benefits & core functionalities of SAC
  • Cloud vs On-Premise vs Hybrid
  • SAP Analytic Cloud Client tools and Importance
  • Overview of Connections
  • Live Connections
  • Import Connections
  • Connecting and accessing Flat file data
  • Connecting and accessing Cloud applications
  • Connecting and accessing Cloud databases
  • Connecting and accessing SAP-HANA
  • Connecting and accessing Odata services
  • 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
  • Desinging SAC Stories
  • Working with Custom Templates
  • Working with Standard Templates
  • Working with Canvas-Responsive & 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 Table widget
  • Working with Geo Map widget
  • R language basics
  • Generating R based Stories
  • What is Augmented Analytics
  • Smart Search
  • Smart Discovery
  • Smart Insights
  • What is SAP Analytics Designer
  • Difference between SAC Stories vs SAP Analytics Designer
  • Analytics Designer overview and walkthrough
  • Outline,Designer,Error & reference panels
  • Design mode vs Run mode vs View mode
  • Desingning basic Analytic application
  • working with Container widgets
  • Implementing filters
  • working with Drop-down,Radibutton,Checkbox componets
  • working with script variables
  • working with script objects
  • Configuring and implementing Dynamic Visibility
  • Working with Loop functions and Conditional Statements
  • Implementing Hyperlinking and Explorer option
  • Predictive scenario overview
  • SAC Stories vs SAC Applications vs SAC Predictive
  • Working with Datasets,Variables
  • Implementing Classification Precitive Model
  • Implementing Regression Predictive Model
  • Implementing Timeseries Predictive Model
  • Generating predictive stories
  • SAC Architecture Overview
  • Working with Roles(Standard vs Custom)
  • Defining Team(s)
  • Defining User(s)
  • Working with dataloading and scheduling
  • SAP Cloud connector
  • SAP Analyics Cloud Agent
  • SAC Lifecycle management/Transports
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  • SAC Roadmaps(Current vs Future)
  • SAC Project Implementation landscapes
  • SAC Certification Overview
  • ECC/BW/BO/S4-HANA/HANA-> SAC Migration Strategy
  • SAC Planning Overview
  • Building a Planning model
  • Currency Table Configuration
  • Working with Value Driver Tree
  • Working with Data actions
  • Working with Data actions
  • Configuring allocations
  • Working with Distributions
  • Predictive forecasting implementation
  • Generating Stories using planning models
  • Generating analytic applications using planning models

Frequently Asked Question

SAP Analytics Cloud is a unified cloud-based platform that combines Business Intelligence (BI), Planning, and Predictive Analytics. Learning SAC empowers professionals to create data models, build visual stories, implement planning strategies, and run predictive simulations—all in a single platform, making it highly valuable for modern data-driven enterprises.

There are no strict prerequisites. However, having basic knowledge of data analysis, SAP systems (like HANA, BW, or S/4 HANA), or BI tools can be helpful. The course is designed to take learners from fundamental concepts to advanced applications.

By the end of the training, you will be able to:

  • Connect SAC to various data sources (flat files, cloud apps, SAP HANA, etc.)

  • Design dynamic dashboards and BI stories

  • Implement predictive models (classification, regression, time-series)

  • Use SAC Planning features like data actions, distributions, and value driver trees

  • Work with R scripting, advanced filters, scripting components, and dynamic visibility in applications

Yes. The course is comprehensive and covers:

  • Business Intelligence (Story building, data modeling, visualizations)

  • Analytics Designer (Custom application development using scripting)

  • Augmented Analytics (Smart insights, discovery, predictions)

  • Planning Modules (Forecasting, value driver trees, data actions)

Yes. Upon successful completion, participants receive a course completion certificate. Placement support includes:

  • Resume building

  • Mock interviews

  • Job guidance

  • Access to live project experience

  • Insights into SAC Certification and SAP project implementation strategies