Inhaltsverzeichnis

Alle Kapitel aufklappen
Alle Kapitel zuklappen
Preface
13
Objective of This Book
13
Target Audience
14
Structure of This Book
14
Additional Resources
15
Acknowledgments
16
1 Introduction
17
1.1 What Is Analytics?
17
1.2 SAP’s Data and Analytics Strategy
19
1.2.1 Core Pillars of SAP’s Data and Analytics Strategy
19
1.2.2 Comparing Cloud-Based and On-Premise Solutions
21
1.2.3 How Does SAP Datasphere Fit In?
22
1.3 Overview of SAP Analytics Cloud
23
1.3.1 Functional Areas
24
1.3.2 User Interface and Core Functionality
27
1.4 Architecture
45
1.5 Standalone and Embedded Versions of SAP Analytics Cloud
46
1.6 Summary
48
2 Data Integration
49
2.1 Data Sources Supported by SAP Analytics Cloud
49
2.1.1 Data Sources for Live Connections
49
2.1.2 Data Sources for Import Connections
55
2.2 Connection Types
61
2.2.1 Live Connections
61
2.2.2 Import Connections
66
2.2.3 Choosing a Connection Type
69
2.3 Integration Scenarios for Live Connections
70
2.3.1 Direct Connections via Cross-Origin Resource Sharing
70
2.3.2 Connections via Tunnels
75
2.3.3 Connections via Reverse Proxies
77
2.4 Integration Scenarios for Import Connections
79
2.4.1 Connections to On-Premise Data Sources
79
2.4.2 Import Connections to Cloud Data Sources
81
2.5 Summary
83
3 Navigation and Administration
85
3.1 Navigating the Home Screen and Main Menu
85
3.2 First Steps for Administrators
89
3.2.1 Users and Single Sign-On
89
3.2.2 Data Sources and Structures
91
3.2.3 Operational Concept
92
3.2.4 System Landscape
92
3.3 Administration Tools
96
3.3.1 Security
97
3.3.2 Transport
106
3.3.3 System
109
3.3.4 Administration
111
3.3.5 Files and Folder Structure
115
3.3.6 Content Network
118
3.3.7 Workspace Management
119
3.4 Creating Connections
120
3.5 Summary
123
4 Data Modeling
125
4.1 Why Use Data Models?
126
4.2 Types of Data Models
129
4.2.1 Datasets
129
4.2.2 Analytical Models
132
4.2.3 Planning Models
134
4.2.4 Embedded Models
135
4.3 Creating Models by Importing Data
135
4.3.1 Creating a Model
136
4.3.2 Creating Expressions
142
4.3.3 Executing Transformations
143
4.3.4 Creating Hierarchies
147
4.3.5 Creating Versions
148
4.4 Creating Models from Live Data Sources
150
4.5 Editing Models in the Modeler
158
4.5.1 Areas of the Modeler
160
4.5.2 Editing Models
163
4.6 Summary
169
5 Business Intelligence: Visualizations and Dashboards
171
5.1 What Are Stories?
172
5.2 Creating Stories
174
5.2.1 Pages
175
5.2.2 Classic Data Exploration and Your First Charts
178
5.2.3 Launch a New Story
183
5.2.4 Story Interface
184
5.3 Creating, Editing, and Formatting Charts
189
5.3.1 Creating a New Chart
189
5.3.2 Adding More Charts
195
5.3.3 Conditional Formatting
196
5.3.4 Showing Variances
197
5.3.5 Other Chart Functionalities
200
5.3.6 Defining Colors
205
5.3.7 Formatting Charts
206
5.3.8 Hierarchies
209
5.4 Creating, Editing, and Formatting Tables
209
5.5 Geo Maps
215
5.6 Texts, RSS Readers, and Other Elements
218
5.7 How Viewers Interact with Stories
221
5.7.1 Filters
222
5.7.2 Dimension and Measure Input Controls
230
5.7.3 Chart Interactions
232
5.8 Calculations
236
5.8.1 Calculated Accounts
237
5.8.2 Calculated Dimensions
240
5.9 Story Design
242
5.10 Sharing and Publishing Stories
245
5.10.1 Sharing, Exporting, and Publishing Stories
245
5.10.2 Publishing to Mobile Devices
249
5.11 Additional Story Functionalities
254
5.11.1 Creating an Embedded Model within a Story
254
5.11.2 Story Templates
255
5.11.3 Blending
255
5.11.4 Comments
258
5.11.5 Bookmarks
259
5.12 Optimized Story View Mode
259
5.13 Summary
261
6 Planning
263
6.1 Planning in SAP Analytics Cloud
263
6.1.1 Data Entry and Version Management
264
6.1.2 Planning within Stories
266
6.1.3 Planning Tools
268
6.2 Creating and Setting Up a Planning Model
270
6.2.1 Creating a Currency Conversion Table
271
6.2.2 Creating a Master Data Model
273
6.2.3 Uploading Transactional Data to the Model
281
6.2.4 Setting Up a Planning Model
286
6.3 Planning-Specific Functionality
289
6.3.1 Versions and Data Entry
289
6.3.2 Distributing Values
292
6.3.3 Allocations
297
6.3.4 Grid Pages
302
6.3.5 Value Driver Tree
305
6.3.6 Data Actions
309
6.3.7 Calendar
311
6.4 Summary
314
7 Predictive Analytics
317
7.1 What Is Predictive Analytics?
317
7.2 Smart Assist
322
7.2.1 Smart Discovery
322
7.2.2 Smart Insights
326
7.2.3 Search to Insight
328
7.2.4 R Visualizations
329
7.2.5 Automatic Forecasts for Time Series
333
7.2.6 Smart Grouping
335
7.3 Smart Predict: Predictive Scenarios
336
7.3.1 Time Series
336
7.3.2 Regressions and Classifications
343
7.4 Summary
343
8 Advanced Development Environment
345
8.1 The History of Stories and Applications
345
8.2 Creating Applications
348
8.2.1 Development Environment
349
8.2.2 Creating New Application Elements
352
8.3 Custom Widgets
366
8.4 Summary
370
9 SAP Digital Boardroom
373
9.1 What Is SAP Digital Boardroom?
374
9.2 Creating Boardrooms
379
9.2.1 Boardroom Types
379
9.2.2 Using Charts in a Boardroom
381
9.2.3 Creating an Agenda
382
9.2.4 Creating a Dashboard
387
9.3 Hardware Recommendations
392
9.4 Summary
393
10 SAP Analytics Hub and the Analytics Catalog for SAP Analytics Cloud
395
10.1 What Is SAP Analytics Hub?
396
10.2 Setup and Content Creation
398
10.2.1 SAP Analytics Hub Cockpit
399
10.2.2 Edit Mode and Content Management
404
10.3 Analytics Catalog
406
10.3.1 Adding Content to the Analytics Catalog
406
10.3.2 Browsing the Analytics Catalog
408
10.4 Summary
409
The Author
411
Index
413