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SAP Analytics Cloud (SAC)

Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate


Uplatz

Summary

Price
£13 inc VAT
Study method
Online, On Demand What's this?
Duration
43 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
  • Reed courses certificate of completion - Free

12 students purchased this course

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Overview

Uplatz provides this in-depth course on SAP Analytics Cloud (SAC). It is a self-paced course consisting of video tutorials. You will be awarded Course Completion Certificate at the end of the course.

Analytics is an encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine learning techniques to find meaningful patterns and knowledge in recorded data.

SAP Analytics Cloud, commonly referred to as SAC, is the cloud data visualization tool from SAP.

In a desire to develop a Business Planning and Consolidation (BPC) Cloud, SAP released a product called SAP Cloud for Planning which offered planning functionalities. The German vendor improved it by adding a BI layer for data visualization and renamed it SAP BusinessObjects Cloud.

SAP Analytics Cloud is a single solution for business intelligence and enterprise planning, augmented with the power of artificial intelligence, machine learning technology and predictive analytics. It helps everyone in your organization make better decisions and act with confidence. SAP Analytics Cloud removes silos, empowers business analysts and unifies a company’s decision-making processes by combining business intelligence, augmented analytics, and enterprise planning into one product.

This SAC course is an overview of every area of SAC with hands-on exercises in most. The major focus is the BI functionality and building and navigating in stories with an additional focus on Digital Boardroom. Although these areas would be considered the core of the class, the course addresses all the areas of SAC including Planning, user management and roles, as well as sourcing and wrangling data with hands- on exercises in each of these areas. Also coved is our new distribution/information delivery platform called SAP Analytics Hub which is tightly integrated in to SAP Analytics Cloud.

SAP Analytics Cloud is a new product in SAP's portfolio designed to satisfy the demands of cloud data visualization. It is offered as a SaaS-based, all-in-one solution. It addresses data visualization, budgeting, and predictive analytics requirements. Its primary purpose is to generate data reports.

Certificates

Certificate of completion

Digital certificate - Included

Course Completion Certificate by Uplatz

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

1
section
20
lectures
43h 1m
total
    • 1: Introduction to SAP Analytics Cloud (SAC) 2:27:31
    • 2: SAC as a Self-service Analytics Tool Preview 14:14
    • 3: Evolution of SAP Analytics Cloud (SAC) 1:35:11
    • 4: Demo of SAC 2:15:16
    • 5: Data Types and Metrics in SAC 2:22:41
    • 6: Datasets in SAC and Story Components Creation Preview 2:11:48
    • 7: Logical Data Model in SAP Analytics Cloud 2:23:51
    • 8: Scenario Planning in SAP SAC 2:01:10
    • 9: SAC Data Analyzer 2:35:45
    • 10: Smart Predict Features & Scenarios 2:27:41
    • 11: Smart Insights in SAP Analytics Cloud 2:19:19
    • 12: Budgeting and Forecasting in SAP SAC 1:18:42
    • 13: Dimensions and Measures 2:49:27
    • 14: Financial Planning & Analysis with SAC 2:29:56
    • 15: Company Structure in SAC 2:05:22
    • 16: Resource Allocation in SAP Analytics Cloud (SAC) 2:24:44
    • 17: Driver Tree 1:54:46
    • 18: Value Driver Model 2:41:49
    • 19: Widgets in SAC 2:11:22
    • 20: SAP Digital Boardroom 2:10:12

Course media

Description

SAP Analytics Cloud (SAC) - Course Curriculum

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: Modeling

➢ 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

➢ 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 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

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

Who is this course for?

Everyone

Requirements

Passion and determination to achieve your goals!

Career path

  • SAP Analytics Cloud (SAC) Consultant
  • Data Analyst
  • Business Analyst
  • Data Consultant
  • IT Consultant
  • SAP Analyst
  • SAP Consultant
  • Reporting Analyst
  • ERP Consultant

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