SAP Cloud Analytics

SAP Cloud Analytics

  • 40 Hours Live Training Sessions & 5+ Softskill Classes
  • 14+ Hours Project Practice & 38+ Assignments Modules
  • 100+ Mock MCQs & 10+ Hours SAP Cloud Analytics Exam Assistance

★ ★ ★ ★ ★ 4.9 (1931 Ratings) 

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Our Exclusive Course Offerings

Up skilling

Develop & reinforce skill set with upskilling aligned to your development plans offered during training

GCAO Training Model

Training Agenda is prepared post intensive training need analysis to ensure High ROI & Training Objective is met

JOB Opportunities

Crack 40,000+ SAP Job Vacancies for Experienced & Freshers certified SAP ARIBA professionals in US, & Middle East

10+ Webinars

Regular concept brush-up webinars conducted for SAP ARIBA Training Course

Comprehensive Curriculum

Follow the SAP Certification Curriculum designed in accordance with Industry needs

Experienced & Certified Trainers

Learn from Certified Trainers having 10+Years of Training Implementation Experience

Our Student Reviews

The instructors are highly skilled and supportive. Their teaching methodology helped me strengthen both my technical knowledge and practical understanding.
Sneha Patel
Analyst
The trainers explain concepts in a simple and practical way. The learning environment is excellent, and the support throughout the training was outstanding.
Arjun Reddy
Technical Consultant
I had a great learning experience. The trainers focus on practical knowledge and ensure every student understands the concepts thoroughly.
Pooja Mehta
Associate Consultant

Our Course Detailed Overview

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

  • 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

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  • 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

  • Collaboration

  • 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 Hyper linking 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

  • 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 Predictive 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