Designing Dashboards with SAP Analytics Cloud
- Length: 344 pages
- Edition: N
- Language: English
- Publisher: SAP Press
- Publication Date: 2021-07-23
- ISBN-10: 1493220608
- ISBN-13: 9781493220601
- Sales Rank: #1996132 (See Top 100 Books)
SAP Analytics Cloud is overflowing with visualization options. Charts, tables, drilldowns, geomaps―if you can dream it, you can design and build it. Learn how to create a dashboard for any use case, from acquired data dashboards and responsive mobile dashboards to procurement dashboards using SAP S/4HANA data. Follow step-by-step instructions to structure your data, choose the relevant features, and then implement them. Contains custom-designed dashboards for each chapter!
- Learn to design and develop interactive dashboards with SAP Analytics Cloud
- Build dashboards with acquired data, live SAP HANA data, SAP SuccessFactors data, and more
- Use R scripts and the analytics designer to create complex dashboards
Dashboard Design
Implement user-centric design for your dashboards using prototyping and continuous improvement principles. Understand what makes a dashboard successful and how to measure that success.
Dashboard Design
Learn about the types of data that must be incorporated into a dashboard and how to select the necessary SAP Analytics Cloud features. Then develop the dashboard with step-by-step instructions.
Custom Dashboards
Walk through ten custom-designed dashboards created specifically for this book. Each one is based on common SAP Analytics Cloud use cases and target audiences.
- Design theory
- Live data connections
- Acquired data dashboards
- Planning dashboards
- Responsive mobile dashboards
- SAP S/4HANA dashboards
- R visualizations
- Qualtrics dashboards
- Analytics designer
Dear Reader Notes on Usage Table of Contents Acknowledgments Preface Target Audience How to Read This Book How This Book Is Organized Conclusion 1 Introduction 1.1 What Is a Dashboard? 1.1.1 Case Study Introduction 1.1.2 A Short History of Dashboards 1.1.3 Definitions of Dashboards 1.1.4 Dashboards and Their Design in SAP Analytics Cloud 1.2 What a Dashboard Needs to Be Successful 1.3 Ten Golden Rules for Business Dashboard Design 1.3.1 Ten Golden Rules 1.3.2 Fostering Successful Dashboard Design 1.4 Benefits of a Dashboard 1.5 Key Roles Involved in Designing Dashboards 1.6 Summary 2 Implementing Successful Dashboards 2.1 Managing Change for Dashboard Implementation 2.1.1 Context Factors Influencing Change Management 2.1.2 Management Support and Vision 2.1.3 Cross-Functional Teams and Project Champions 2.1.4 Data Quality and Integrity 2.1.5 User-Centered Design 2.1.6 Project Split and Creation of Short-Term Wins 2.1.7 Enablement 2.1.8 Measuring the Success of Dashboards 2.2 User-Centered Design Methods 2.2.1 Design Thinking 2.2.2 Know Your Users and the Data 2.2.3 Prototyping 2.2.4 Evaluate and Iterate with Consumers 2.3 Enabling and Upskilling 2.3.1 Becoming a Dashboard Designer 2.3.2 Enabling and Upskilling Dashboard Consumers 2.4 Measuring the Success of Dashboards 2.4.1 Summative Evaluations 2.4.2 Drivers That Influence the Success of Your Dashboards 2.4.3 Quantitative Success Measures for Your Dashboards 2.4.4 A Framework for Choosing User Experience Metrics 2.4.5 Qualitative Success Indicators for Your Dashboards 2.5 Summary 3 Dashboards Using Acquired Data 3.1 Scenario 3.1.1 Golden Rule 1: Container 3.1.2 Golden Rule 2: Comparison 3.1.3 Golden Rule 6: Construction 3.1.4 Golden Rule 7: Color 3.1.5 Golden Rule 8: Contrast 3.1.6 Golden Rule 9: Consistency and Integrity 3.1.7 Golden Rule 10: Communication 3.2 Data Structure 3.2.1 What Is Acquired Data and Why Use It? 3.2.2 A Data Set or a Model: Which One to Use? 3.2.3 Building a Model 3.3 Dashboard Features 3.3.1 Visualize the Sales Dashboard Layout 3.3.2 Decide Where to Put Different Types of Information 3.4 Creating the Dashboard 3.4.1 Importing and Viewing the Story Data in SAP Analytics Cloud 3.4.2 Building the Dashboard 3.4.3 Features That Support Consistent Dashboards 3.5 Summary 4 Responsive Mobile Dashboards 4.1 Scenario 4.2 Data Structure 4.3 Dashboard Features 4.3.1 Access on Mobile Devices 4.3.2 Responsive Design 4.3.3 Device Preview 4.4 Building the Dashboard 4.4.1 Design Adjustments for iOS Phones 4.4.2 Design Adjustments for iOS Tablets 4.4.3 Interaction and Collaboration on Mobile Devices 4.5 Summary 5 Dashboards Based on Live Data Connections 5.1 Scenario 5.1.1 Live Connection Decision 5.1.2 Dashboard Scenario 5.1.3 Dashboard Planning 5.2 Data Structure 5.2.1 Live Connection and Live Model 5.2.2 Available Data in SAP Business Warehouse 5.3 Dashboard Features 5.3.1 Input Controls 5.3.2 Linked Analysis 5.3.3 Changing the Order of Measures in Tables 5.3.4 Calculations 5.3.5 Hierarchies 5.3.6 Hyperlinks 5.4 Building the Dashboard 5.4.1 Header Area A0 5.4.2 Key Performance Indicator Area A1 5.4.3 Charts Area A2 5.4.4 Charts Area A3 5.4.5 Table Area A4 5.4.6 Filter Area A5 5.5 Summary 6 Dashboards for Planners and Controllers 6.1 Scenario 6.2 Data Structure 6.3 Dashboard Features 6.3.1 Designing IBCS-Compliant Dashboards for Planning 6.3.2 Using Tables for Planning 6.3.3 Value Driver Trees 6.4 Creating the Dashboard 6.4.1 Creating the Value Driver Tree 6.4.2 Locking Data Values 6.4.3 Data Locking Defined in the Planning Model 6.4.4 Locking Individual Cells Directly in the Table 6.4.5 Inserting a Variance Chart in a Column 6.5 Summary 7 Application-Based Dashboards with the Analytics Designer 7.1 Scenario 7.2 Data Structure 7.3 Dashboard Features 7.4 Creating the Dashboard 7.4.1 Creating the Analytic Application 7.4.2 Personalized Filter 7.4.3 Switch Toggle 7.4.4 Sliders 7.4.5 Scripting Variables 7.4.6 Geo Maps 7.4.7 Popups 7.4.8 Buttons 7.4.9 Dropdown Box 7.5 Summary 8 Dashboards Based on SAP S/4HANA Cloud Data 8.1 Scenario 8.2 Data Structure 8.3 Dashboard Features 8.4 Building the Dashboard 8.4.1 Create a Story 8.4.2 Header Area 8.4.3 Second Dashboard Area 8.4.4 Third Dashboard Area 8.4.5 Bind the Story to an Application 8.5 Summary 9 Dashboards Using Self-Scripted R Visualizations 9.1 Scenario 9.2 Data Structure 9.3 Dashboard Features 9.4 Creating the Dashboard 9.4.1 R Packages Available in SAP Analytics Cloud 9.4.2 Defining a New Chart in a Story Using an R Script 9.4.3 A Scatter Plot to Show Standard Deviation and True Values 9.4.4 A Histogram with a Fitted and Normal Distribution 9.4.5 A Word Cloud to Show Feedback with Weighted Opinions 9.4.6 A Pie Chart with an “Other” Category 9.5 Summary 10 Dashboards in SAP Digital Boardroom 10.1 Scenario 10.2 Data Structure 10.3 Presentation Features 10.4 Creating the Presentation 10.4.1 Dashboard Presentation 10.4.2 Agenda Presentation 10.4.3 Consuming and Presenting the SAP Digital Boardroom Presentation 10.5 Summary 11 Monitoring Dashboards Using Qualtrics and Usage Tracking Data 11.1 Scenario 11.2 Data Structure 11.2.1 Building the Model Based on Qualtrics Data 11.2.2 Inherent Models, Dashboards, and Applications for Usage and Performance Monitoring 11.3 Dashboard Features 11.4 Creating the Dashboard 11.4.1 Building the Dashboard. 11.4.2 Creating the Upper Area of the Dashboard 11.4.3 Creating the Second and Third Sections of the Dashboard 11.4.4 Creating the Bottom Section with a Table and an Explorer View 11.5 Summary A Style Guide A.1 Color A.2 Font A.3 Logo A.4 Layout A.5 Further Guidelines for the Use of Text A.5.1 Header, Titles, and Subtitles A.5.2 Use of Terminology B Further Reading B.1 Chapter 1: Introduction B.2 Chapter 2: Implementing Successful Dashboards B.3 Chapter 3: Dashboards Using Acquired Data B.4 Chapter 4: Responsive Mobile Dashboards B.5 Chapter 5: Dashboards Based on Live Data Connections B.6 Chapter 6: Dashboards for Planners and Controllers B.7 Chapter 7: Application-Based Dashboards with the Analytics Designer B.8 Chapter 8: Dashboards Based on SAP S/4HANA Cloud Data B.9 Chapter 9: Dashboards Using Self-Scripted R Visualizations B.10 Chapter 10: Dashboards in SAP Digital Boardroom B.11 Chapter 11: Monitoring Dashboards Using Qualtrics and Usage Tracking Data C The Authors Index Service Pages Legal Notes
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