SAP Analytics Cloud (SAC) Certification Training

Description

A warm welcome to the SAP Analytics Cloud (SAC) course by Uplatz.

SAP Analytics Cloud (SAC) 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. Its main function is the creation of data reports. SAP Analytics cloud can retrieve data from spreadsheets, on-premise databases, and cloud databases, or a combination of all three. SAP Analytics Cloud transfers raw data from the transactional system into precise data by providing meaningful insights.

SAP Analytics Cloud evolved out of the Cloud for Planning product, which was released in February 2015. In addition to business planning, the other key components are BI (for reporting, dashboarding, data discovery, and visualization), predictive analytics and governance, risk, and compliance. Analytics Cloud allows data analysts and business decision-makers to visualize, plan, and make predictions all from one secure, cloud-based environment. With all the data sources and analytics functions in one product, Analytics Cloud users can work more efficiently. The key functions are accessed from the same user interface that is designed for ease-of-use for business users. In simple words, SAP Analytics Cloud (SAC) or SAP Cloud for Analytics is a cloud-based BI solution from SAP. SAC was previously called as SAP Business Objects Cloud or SAP BO Cloud. It is generally used for Business Intelligence, Planning or forecasting activities, helping business owners’ insights and act accordingly regarding Business Decisions.

SAC empowers the business users to safely and securely work with governed data and create stunning interactive dashboards. Uncover and deliver actionable insights across the enterprise with intuitive self-service analytics. Empower business users to safely and securely work with governed data and create stunning interactive dashboards. Uncover and deliver actionable insights across the enterprise with intuitive self-service analytics. Automatically receive strategic insights with SAP Analytics Cloud’s embedded machine learning technology–helping you go from insight to action in a fraction of the time. Avoid agenda-driven decision making by unveiling the true story of what is driving your business. Live Data Connections use native connectivity while Import Data Connections acquire data from your systems for data preparation and blending purposes. All SAP Analytics Cloud features are built on SAP Business Technology Platform and powered by the SAP HANA in-memory database. They can be extended to any device.

SAP Analytics Cloud is an all-in-one cloud product offered as software as a service (SaaS) for business intelligence (BI), planning, and predictive analytics. Built natively on SAP BTP, it provides a unified and secure public cloud experience to maximize data-driven decision making. SAP Analytics Cloud is a software-as-a-service with a platform of tools and functionalities for data visualization, data analysis, and business planning. It provides business analysts, data scientists, and developers with a central hub through which they can perform their daily business intelligence (BI), financial planning, and application build tasks. It runs on SAP Business Technology Platform (formerly SAP Cloud Platform). SAC is nothing but a HANA cloud-based platform tool used for visualization & reporting.

The evolution of the SAC analytics cloud has made catering to various needs of users (related to business analysis and planning) possible with just one integrated product. SAP Analytics Cloud is one simple cloud solution that connects your people, information, and ideas. It’s powered by artificial intelligence and is complete with SAP’s world-class compliance, security, and data protection practices. SAC enables the organizations to make fast and confident decision making with useful insights and in-depth analysis. With SAP Analytics Cloud you can automatically receive strategic insights with SAP Analytics Cloud’s embedded machine learning technology. It also helps you go from vision to action in a segment of the time. With SAP Analytics Cloud you can avoid agenda driven decision making by introducing the true story of what is driving your business. SAP Analytics cloud can recover data from spreadsheets, on-premise databases, and cloud databases, or a mixture of all three.

Uplatz offers this extensive course on SAP Analytics Cloud (SAC). This course is targeted for the business analysts and SAP power users as well as consultants who report & analyze using dashboards/visualization/charts.

SAC Applications are divided into four categories:

• SAP Digital Boardroom

• SAP Analytics Hub

• Mobile Experience

• SAP App Center

SAP Analytics Cloud (SAC) - Course Syllabus

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

Some of the key features of SAP Analytics Cloud include:

1. SAC provides one platform for capabilities like Data exploration, Visualization analysis along with financial planning or productive forecasting.

2. Analytics Cloud is one simple cloud solution for BI, Planning, and Predictive. It connects people, information, and ideas to enable fast and confident decision making.
3. With the power of machine learning and predictive analytics, Analytics Cloud integrates business intelligence and corporate planning to simplify organizational analytics for any industry.
4. Integration with Analysis for Microsoft Office: This includes a read and write a function for users who want to import data and work in readily familiar environments.
5. Access to on-premise and cloud data: Provides real-time access to applications such as cloud databases and solutions, as well as heterogeneous applications for on-premise and cloud locations.

6. Embedded analytics Allows users to access analytic features such as what-if analysis and ad-hoc.

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