SAP Analytics Cloud (First Edition) (SAP PRESS)

✍ Scribed by Abassin Sidiq

• Publisher: SAP Press
• Year: 2020
• Tongue: English
• Leaves: 449
• Edition: New
• Category: Library

✦ Synopsis

Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories how to create visualizations for them, publish them, and enhance them. With information on using SAP Analytics Cloud for financial planning, predictive analytics, dashboard creation, and more, this book is your one-stop shop!

✦ Table of Contents

Preface
Objective of This Book
Target Audience
Structure of This Book
Additional Resources
Acknowledgments
1 Introduction
1.1 What Is Analytics?
1.2 SAP’s Analytics Strategy
1.2.1 Core Pillars of SAP’s Analytics Strategy
1.2.2 Comparing Cloud-Based and On-Premise Solutions
1.3 Overview of SAP Analytics Cloud
1.3.1 Functional Areas
1.3.2 User Interface and Core Functionality
1.4 Architecture
1.5 Summary
2 Data Integration
2.1 Data Sources Supported by SAP Analytics Cloud
2.1.1 Data Sources for Live Connections
2.1.2 Data Sources for Import Connections
2.2 Connection Types
2.2.1 Live Connection
2.2.2 Import Connection
2.2.3 Choosing a Connection Type
2.3 Integration Scenarios for Live Connections
2.3.1 Direct Connection via CORS
2.3.2 Connection via Reverse Proxy
2.4 Integration Scenarios for Import Connections
2.4.1 Connections to On-Premise Data Sources
2.4.2 Import Connections to Cloud Data Sources
2.5 Summary
3 Navigation and Administration
3.1 Navigating the Home Screen and Main Menu
3.2 First Steps for Administrators
3.2.1 Users and Single Sign-On
3.2.2 Data Sources and Structures
3.2.3 Operational Concept
3.2.4 System Landscape
3.3 Administration Tools
3.3.1 Security
3.3.2 Deployment
3.3.3 System
3.3.4 Administration
3.3.5 Files and Folder Structure
3.3.6 Content Network
3.4 Create Connections
3.5 Summary
4 Data Modeling
4.1 Why Use Data Models?
4.2 Types of Data Models
4.2.1 Datasets
4.2.2 Analytical Models
4.2.3 Planning Models
4.2.4 Embedded Models
4.3 Creating Models by Importing Data
4.3.1 Create a Model
4.3.2 Edit Columns
4.3.3 Executing Transformations
4.3.4 Generating and Saving the Model
4.4 Creating Models from Live Data Sources
4.5 Editing Models in the Modeler
4.5.1 Areas of the Modeler
4.5.2 Editing Models
4.6 Summary
5 Business Intelligence: Visualizations and Dashboards
5.1 What Are Stories?
5.2 Creating Stories
5.2.1 Pages
5.2.2 Data Exploration and First Charts
5.2.3 Story Interface
5.3 Creating, Editing, and Formatting Charts
5.3.1 Creating a New Chart
5.3.2 Adding More Charts
5.3.3 Conditional Formatting
5.3.4 Showing Variances
5.3.5 Other Chart Functionality
5.3.6 Defining Colors
5.3.7 Formatting Charts
5.3.8 Hierarchies
5.4 Creating, Editing, and Formatting Tables
5.5 Geo Maps
5.6 Texts, RSS Readers, and Other Elements
5.7 How Viewers Interact with Stories
5.7.1 Filters
5.7.2 Dimension and Measure Input Controls
5.7.3 Chart Interactions
5.8 Calculations
5.8.1 Calculated Measures
5.8.2 Calculated Dimensions
5.9 Story Design
5.10 Sharing and Publishing Stories
5.10.1 Sharing, Exporting, and Publishing Stories
5.10.2 Publishing to Mobile Devices
5.11 Additional Story Functionalities
5.11.1 Creating an Embedded Model within a Story
5.11.2 Story Templates
5.11.3 Blending
5.11.4 Comments
5.11.5 Bookmarks
5.12 Summary
6 Planning
6.1 Planning in SAP Analytics Cloud
6.1.1 Data Entry and Version Management
6.1.2 Planning within Stories
6.1.3 Planning Tools
6.2 Creating and Setting Up a Planning Model
6.2.1 Creating a Currency Conversion Table
6.2.2 Creating a Master Data Model
6.2.3 Uploading Transactional Data to the Model
6.2.4 Setting Up a Planning Model
6.3 Planning-Specific Functionality
6.3.1 Versions and Data Entry
6.3.2 Allocating Values
6.3.3 Allocations
6.3.4 Grid Pages
6.3.5 Value Driver Tree
6.3.6 Data Actions
6.3.7 Calendar
6.4 Summary
7 Predictive Analytics
7.1 What Is Predictive Analytics?
7.2 Smart Assist
7.2.1 Smart Discovery
7.2.2 Smart Insights
7.2.3 Search to Insight
7.2.4 R Visualizations
7.2.5 Automatic Forecasts for Time Series
7.2.6 Smart Grouping
7.3 Smart Predict: Predictive Scenarios
7.3.1 Time Series
7.3.2 Regressions and Classifications
7.4 Summary
8 Analytics Designer
8.1 Differences between Stories and Applications
8.2 Creating Applications
8.2.1 Development Environment
8.2.2 Creating New Application Elements
8.3 Summary
9 SAP Digital Boardroom
9.1 What Is SAP Digital Boardroom?
9.2 Creating Boardrooms
9.2.1 Boardroom Types
9.2.2 Using Charts in a Boardroom
9.2.3 Creating an Agenda
9.2.4 Creating a Dashboard
9.3 Hardware Recommendations
9.4 Summary
10 SAP Analytics Hub and SAP Analytics Catalog
10.1 What Is SAP Analytics Hub?
10.2 Setup and Content Creation
10.2.1 SAP Analytics Hub Cockpit
10.2.2 Edit Mode and Content Management
10.3 SAP Analytics Catalog
10.3.1 Adding Content to SAP Analytics Catalog
10.3.2 Browsing SAP Analytics Catalog
10.4 Summary
The Author
Index