Name: Implementing Machine Learning with SAP S/4HANA
Brand: SAP
SKU: BOOK-SAPPRESS-EBOOK-2020-9781493220120

Implementing Machine Learning with SAP S/4HANA

Language

🇺🇸 English

Publisher SAP PRESS

Year / Edition 2020 / 1

Pages 408

Authors Siar Sarferaz, Raghu Banda

Implementing Machine Learning with SAP S/4HANA

Put machine learning to work in SAP S/4HANA! Get started by reviewing your available tools and implementation options. Then, learn how to set up services, train models, and manage applications. Discover how machine learning can be implemented in various lines of business, from finance to sales. With details on extensibility and related SAP Cloud Platform services, you’ll find everything you need to make the most of machine learning!

Learn about machine learning tools for SAP S/4HANA
Implement machine learning and predictive models using embedded services, SAP Cloud Platform, and SAP Analytics Cloud
Explore SAP-delivered machine learning applications and processes

You'll learn about:

Tools and Technologies:
Get to know the machine learning toolkit you can use to consume models: SAP HANA, SAP Cloud Platform, SAP Analytics Cloud, SAP Intelligent Robotic Process Automation, and more.
Technical Implementation:
Perform the technical setup in SAP S/4HANA. Learn how to implement key services, train machine learning models, and manage applications, from data integration to user interface design.
Business Implementation:
See how machine learning improves your lines of business. Explore machine learning in SAP S/4HANA business processes for finance, procurement, sales, inventory, and more.

Key Highlights:

Predictive analytics
Predictive intelligence
Tools and technologies
Architecture
Embedded services
Technical implementation
Business implementation
Extensibility
SAP HANA
SAP Cloud Platform
SAP Analytics Cloud

View Full Table of Contents

Preface
- What Is the Impact of Machine Learning?
- What Ethical Aspects Will Be Considered?
- What Is the Objective of This Book?
- What Is the Target Audience for This book?
1 Introduction to Predictive Intelligence
- 1.1 The Intelligent Enterprise
- 1.2 How Predictive Intelligence Is Evolving at SAP
- 1.3 Connected End-to-End Scenarios
  - 1.3.1 Modular Approach
  - 1.3.2 Example Scenarios
- 1.4 Analytics of the Future
  - 1.4.1 Unified Analytics
  - 1.4.2 Business Problems and Business Needs
  - 1.4.3 Trends and Technologies
  - 1.4.4 User Roles with Analytics
- 1.5 Summary
2 The Evolution of Predictive Analytics and Machine Learning at SAP
- 2.1 Predictive Analytics and Machine Learning before SAP S/4HANA
- 2.2 Technologies and Methodologies
  - 2.2.1 Automated Analytics
  - 2.2.2 Expert Analytics
- 2.3 Best Practices
- 2.4 Summary
3 Tools, Technologies, and Services
- 3.1 Machine Learning and Predictive Analytics Approaches
- 3.2 Embedded Machine Learning and Predictive Analytics
  - 3.2.1 Overview
  - 3.2.2 Embedded Machine Learning with the SAP HANA Automated Predictive Library
  - 3.2.3 Embedded Machine Learning with the SAP HANA Predictive Analysis Library
- 3.3 SAP Cloud Platform
  - 3.3.1 SAP Data Intelligence
  - 3.3.2 Hybrid Machine Learning Models
- 3.4 SAP Analytics Cloud
  - 3.4.1 Overview
  - 3.4.2 Smart Assist Services
  - 3.4.3 Smart Predict Services
- 3.5 SAP Intelligent Robotic Process Automation
- 3.6 SAP Internet of Things
- 3.7 Summary
4 Architecture
- 4.1 Introduction
  - 4.1.1 Technical Challenges in SAP S/4HANA
  - 4.1.2 How to Operationalize Intelligence
- 4.2 Architecture Overview
  - 4.2.1 Machine Learning Application Patterns
  - 4.2.2 Guiding Principles for Solution Architecture
  - 4.2.3 Solution Architecture
- 4.3 Embedded Machine Learning
- 4.4 Side-by-Side Machine Learning
- 4.5 Side-by-Side Predictive Analytics
- 4.6 Summary
5 Technical Implementation
- 5.1 Approach Comparison
- 5.2 Implementing Embedded Machine Learning Applications
  - 5.2.1 Generated Approach Based on the SAP HANA Automated Predictive Library
  - 5.2.2 Coded Approach Based on the SAP HANA Predictive Analysis Library
- 5.3 Implementing Side-by-Side Machine Learning Applications
  - 5.3.1 Required Development in SAP Data Intelligence
  - 5.3.2 Required Development in ABAP
- 5.4 Implementing Side-by-Side Predictive Analytics Applications
- 5.5 Application Management Processes
  - 5.5.1 Lifecycle Management
  - 5.5.2 Data Integration
  - 5.5.3 Data Protection and Privacy
  - 5.5.4 Configuration
  - 5.5.5 Extensibility
  - 5.5.6 Model Degradation
  - 5.5.7 Explanation of Results
  - 5.5.8 Workload Management and Performance
  - 5.5.9 Legal Auditing
  - 5.5.10 Model Validations
  - 5.5.11 User Interface Design
- 5.6 Summary
6 Business Implementation
- 6.1 Overview of Intelligent Scenarios
  - 6.1.1 Creating a Purchase Requisition as an Employee
  - 6.1.2 Processing a Purchase Requisition as an Operational Purchaser
  - 6.1.3 Monitoring the Spend as a Strategic Purchaser
  - 6.1.4 Creating Sales Inquiries as a Sales Manager
  - 6.1.5 Recording Financial Transactions as an Accounts Receivable Manager
- 6.2 Configuration Basics
  - 6.2.1 SAP Best Practices Explorer
  - 6.2.2 SAP Help Portal
- 6.3 Finance
  - 6.3.1 SAP Cash Application
  - 6.3.2 Accounting and Financial Close
  - 6.3.3 Financial Planning and Analysis
  - 6.3.4 Governance, Risk, and Compliance
  - 6.3.5 Detect Abnormal Liquidity Items
- 6.4 Sourcing and Procurement
  - 6.4.1 Contract Consumption
  - 6.4.2 Propose Resolution for Invoice Payment Block
  - 6.4.3 Supplier Delivery Prediction
  - 6.4.4 Proposal of New Catalog Item
  - 6.4.5 Proposal of Material Group
  - 6.4.6 Proposal of Options for Materials without Purchase Contract
  - 6.4.7 Image-Based Buying
  - 6.4.8 Intelligent Approval Workflow
  - 6.4.9 Blockchain-Verified RFQ Processing
- 6.5 Inventory and Supply Chain
  - 6.5.1 Stock in Transit
  - 6.5.2 Demand-Driven Replenishment
  - 6.5.3 Defect Code Proposal with Text Recognition
  - 6.5.4 Early Detection of Slow and Nonmoving Stock
- 6.6 Sales
  - 6.6.1 Predict Conversion of Sales Quotations to Sales Orders
  - 6.6.2 Predict Sales Forecasts
  - 6.6.3 Predict Delivery Delay
- 6.7 Research and Development/Engineering
  - 6.7.1 Project Cost Forecasting
  - 6.7.2 Digital Content Processing
- 6.8 Industries
  - 6.8.1 Professional Services
  - 6.8.2 Component Manufacturing
  - 6.8.3 Retail
  - 6.8.4 Utilities
  - 6.8.5 Consumer Products
  - 6.8.6 Insurance
  - 6.8.7 Telecommunications
  - 6.8.8 Banking
  - 6.8.9 High-Tech
  - 6.8.10 Sports and Entertainment
  - 6.8.11 Public Services
- 6.9 Summary
7 Services on SAP Cloud Platform
- 7.1 Key Trends and Capabilities
- 7.2 SAP Data Intelligence
- 7.3 Machine Learning
- 7.4 Internet of Things
- 7.5 Blockchain
- 7.6 Summary
8 The Road Ahead and Further Learning
- 8.1 Upcoming Features and Functionality
  - 8.1.1 Embedded Predictive Models
  - 8.1.2 Machine Learning Models on SAP Cloud Platform
  - 8.1.3 SAP Analytics Cloud
  - 8.1.4 Extensions of Existing Approaches
- 8.2 Blogs for Continuous Information
- 8.3 Summary
The Authors
Index

ℹ️ How to purchase this book?

This product has a special price upon request. You can start your order or clarify any doubts using the Contact for Price button on the page.

We have also prepared a step-by-step guide to explain how to easily request your quote.

Read the guide here →

Disclaimer

SAP, other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Our Company is not affiliated to SAP SE or any of its affiliated companies including but not limited to: Sybase, Business Objects, Hybris, Ariba and SuccessFactors. All other names, brands, logos, etc. are registered trade or service marks of their respective owners.

Warranty

Receive the product you were expecting or we will refund your money

Would you like to see a sample of the course or book?

If you need a sample of the course or book, request it in the chat below and we will be happy to provide it to you.

1 installment of $0.00 USD without interest		Total $0.00 USD
2 installments of $0.00 USD without interest		Total $0.00 USD
3 installments of $0.00 USD without interest		Total $0.00 USD
4 installments of $0.00 USD without interest		Total $0.00 USD
5 installments of $0.00 USD without interest		Total $0.00 USD
6 installments of $0.00 USD without interest		Total $0.00 USD

Implementing Machine Learning with SAP S/4HANA

You'll learn about:

Key Highlights:

ℹ️ How to purchase this book?

Disclaimer

Implementing Machine Learning with SAP S/4HANA

Related products