1    SAP S/4HANA for the Supply Chain

This chapter highlights the transition from the SAP Business Suite into the SAP S/4HANA product offering. It discusses the key concepts added via SAP HANA, such as the in-memory processing database architecture, the introduction of SAP Fiori apps for transactional processing, and on-premise versus cloud offerings.

The objective of this chapter is to outline how three key pillars—the database technology, business process improvements, and IT flexibility—come together in SAP S/4HANA to offer substantial business benefits.

Within this chapter, we’ll discuss how SAP S/4HANA is evolving to meet the needs of future technology innovation. SAP S/4HANA has been built for the digital age to accommodate mobile processing and changes in the marketplace. SAP has modified the underlying technical architecture but has also changed the business process models that the technology supports. SAP has introduced the concept of Enterprise Management for business process definition. The SAP S/4HANA Enterprise Management model includes the mega processes supported by SAP S/4HANA, as well as the concept of value maps, which define the processes supported within a mega process (as seen in Figure 1.1).

The first section examines the SAP HANA foundation beneath SAP S/4HANA, the second section addresses simplifications delivered with SAP S/4HANA in the four main logistics workflows (and what functional groupings appear in each), and the third section explains the on-premise and cloud deployment options.

SAP S/4HANA Value Drivers

Figure 1.1    SAP S/4HANA Value Drivers

Following are some key terminology used throughout this chapter and in the general marketplace when discussing SAP S/4HANA:

SAP Fiori Apps: Key Components

Figure 1.3    SAP Fiori Apps: Key Components

SAP Evolution to SAP S/4HANA

Figure 1.5    SAP Evolution to SAP S/4HANA

1.1    Architecture and SAP S/4HANA

The core architecture of SAP S/4HANA has been built as an enabling architecture. The SAP HANA in-memory database remains the foundation for SAP S/4HANA, serving as a powerful data engine for real-time transactions and insights, with data structures further simplified in the 1610 release. Meanwhile, SAP has expanded the core, more tightly integrating solutions such as SAP S/4HANA Finance and SAP Extended Warehouse Management (EWM). SAP also has brought a number of enhancements and innovations to the core, including enhancements to streamline inventory management and accelerate material requirements planning (MRP). Based on an open architecture, SAP S/4HANA allows you to connect with other cloud or on-premise solutions, which is a critical capability if you plan on having other sales and marketing solutions in the mix.

In the following subsections, we’ll describe the in-memory architecture and the resulting performance improvements. In addition, we’ll highlight the changes to the SAP Business Suite data structures and the removal of aggregation tables. Finally, we’ll talk about improvements in analytics facilitated by the architectural changes and the enablement of analytics from the introduction of the SAP Fiori apps.

1.1.1    In-Memory Processing and Performance Improvements

Within SAP S/4HANA, the in-memory processing allows for faster processing speeds. All of the transactional data is stored in main memory, which avoids the need to post to disk and saves the roundtrip processing time. The in-memory database significantly improves data processing functions.

1.1.2    Real-Time Analytics

SAP S/4HANA provides a number of analytics tools. Most of the analytics are embedded in the functional offering either via the GUI or more frequently enabled via new SAP Fiori apps. The new SAP Fiori apps provide information in numerous lists and reports. These lists and reports are highlighted in the functional chapters, and the ad hoc reporting and analytics functionality is detailed in Chapter 9.

The reporting offered via the SAP Fiori apps includes new tools such as enhanced search capabilities and the ability to report based on multiple search criteria. In addition, the report displays are modifiable by user and role.

The reporting functionality is also enhanced based on the core architectural changes in SAP S/4HANA that allow for much faster reporting performance. Reports can now be run numerous times and incorporated into business processes versus the traditional business suite that relied on batch jobs and long-running reporting execution. In addition, new reporting tools are created that help move analytics from historical data analysis into predictive analysis to move businesses from reactive to proactive (as seen in Figure 1.6).

SAP S/4HANA Embedded Analytics

Figure 1.6    SAP S/4HANA Embedded Analytics

1.1.3    Improved Data Quality

The world of data is changing based on new technology, and the people and machines creating, capturing, and processing data are evolving. Data in today’s environment must include Internet of Things (IoT), radio-frequency identification (RFID), Quick Response codes (QR codes), and so on. The SAP S/4HANA core is built to support and excel in these technologies.

Data model simplifications are also a major part of the conversion into the SAP S/4HANA model (as seen in Figure 1.7). SAP S/4HANA has removed a number of traditional database tables from the SAP Business Suite, including the aggregation tables and any redundant data structures. All aggregations will be calculated in real time, which will also reduce locking issues. These changes will also provide more precision and improved speed in transactions to allow for more simulation and predictive functionality.

Simplified Data Model in SAP S/4HANA

Figure 1.7    Simplified Data Model in SAP S/4HANA