openSAP_s4h27_Week_1_2025_All_Slides.pdf

Week 1: Introduction, Overview, and Business User
Unit 1: SAP S/4HANA Embedded Analytics –
Overview

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© 2021 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP S/4HANA embedded analytics – Overview
Welcome to the course
In the following 5 weeks, you’ll learn about:
▪ The SAP S/4HANA embedded analytics concept
▪ The most important architectural paradigms
▪ The user types: business user and analytics specialist
▪ Predefined analytical apps and other business content
▪ Embedded predictive and machine learning in
SAP S/4HANA
▪ Concepts for data integration between SAP S/4HANA
and other solutions

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SAP S/4HANA analytics overview
▪ Provide embedded insights in the solution, optimally support business users in defined business processes with decision support and information at the user's fingertips
▪ Integrate seamlessly into the enterprise intelligence offerings such as SAP Analytics Cloud and SAP BW/4HANA
▪ Provide real-time access to solution data as well as replication of data and blending with multiple other sources for end-to-end enterprise intelligence
SAP Analytics Cloud, for
Enterprise Planning
and BI
SAP BW/4HANA,
SAP Data Warehouse
Cloud
SAP Analytics
SAP S/4HANA
SAP S/4HANA embedded analytics, powered by SAP Fiori and SAP Analytics
▪ SAP Fiori analytical apps for the business user
▪ SAP Fiori extensibility apps for the analytics specialist
SAP HANA DB SAP HANA DB
See also:
Units on predefined analytics content in weeks 1 and 3
SAP S/4HANA – Virtual Data Model
Spend off-
contract
Incoming
sales order
….
PO avg.
delivery time
Non-managed
purchasing spend
Real-time access to
SAP S/4HANA data
Data replication of
SAP S/4HANA data
(both using the virtual
data model)

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High level architecture
Persistency
Modeling
Visualization
Access
Database tables
on SAP S/4HANA
ABAP-CDS-Models
OData services Transient analytical queries
Database tables
on SAP HANA
SAP Data Warehousing
(SAP BW/4HANA + SAP
Data Warehouse Cloud)
SAP Analytics
Inter-
operability
SAP S/4HANA Cloud
SAP Fiori UI
Embedded
SAP Analytics Cloud
(OEM)
SAP Analytics
Cloud
See also:
Unit on architecture in week 1

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SAP Analytics
▪ separate products/services
▪ direct access to SAP S/4HANA data
▪ Dashboards and Digital Boardrooms developed
by SAP S/4HANA, available for SAP Analytics
Cloud
Overview of current offering per user type
SAP S/4HANA Business User: Analyze the data and act according to insights
SAP S/4HANA IT User: Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
SAP S/4HANA Analytics Specialist: Enable the Busines User
View maintenance:
ABAP for Eclipse
KPI and report
modeling apps
SAP Analytics
Cloud
Other SAP BI
Products:
Examples: Analysis
for Office, Design
Studio, …
Smart
Business KPIs,
analysis path
apps
Embedded
SAP Analytics
Cloud
dashboards
Analytical list
pages
Overview
pages
Analytical
SAP Fiori
apps
Key user tooling
(e.g. Query Designer)

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An important place for information on SAP Fiori apps: SAP Fiori Apps Reference Library
Demo

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Capabilities for the business user
Overview Pages
Smart Business KPIs
• Consolidated view on a certain domain, e.g. Purchasing
• Information presented in analytical tables and charts
• Take action in the same place or navigate to other apps
• Save personal variants
Multidimensional Reports
• KPI monitoring on SAP Fiori launchpad
• Drill-down into further analytical or transactional apps
• Generic approach to mix analytical and transactional activities
• Display table or chart or a combination
• Take action directly in the same app or navigate to other apps
• Analyze and visualize data from multiple dimensions
• Display pivot-table or chart or a combination
Dashboards
• SAP S/4HANA: Optional, additional content, stories (SAP
S/4HANA data only) shipped via analytics content repository
• Used as templates, customers will copy and adapt
• SAP S/4HANA Cloud: Fiori-embedded SAP Analytics Cloud
content, stories come as part of SAP S/4HANA Cloud apps.
• Queries supplying the data are shipped with SAP S/4HANA
Analytical List Pages
Powered by SAP Analytics Cloud
In-App Analytics and ML
• Combine analytics with transactional content in one screen
• Insight-to-action to prioritize based on facts
• Use drill-downs to determine transactional input parameters

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The analytics specialist persona
▪ Uses tools provided through analytics specialist role to
create and deploy new queries, reports, KPIs,
dashboards.
▪ Skill profile more business-focused, not IT-focused.
▪ Examples of typical tasks:
− Create new data sources
− Create new queries
− Define and deploy KPIs to business catalogs
− Design and deploy embedded SAC dashboards to
business catalogs
− Create new date functions for use in all sorts of
reports
− …
See also:
Unit on Analytics Specialist Features in week 2

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End-to-end scenario diagram: analytics extensibility
1. Identify data source in
the virtual data model
2. Custom VDM views
3. Analytical query
4. KPI / report
creation
5. Publish to end-user/SAP Fiori
catalogs (or for external use)
6. Transport
View Browser
Search VDM view
1
Custom VDM Views
Create VDM view and publish
2
External Consumption
Create custom communication
scenario and arrangement
5.2
Report / KPI Design
4.1.1 Create report
4.1.2 Create KPI
4.1.3 Create embedded SAP Analytics Cloud dashboard
4.1.4 Create SAP Fiori app and publish report
4.1
Multidimensional Report
Create a multi-dimensional report
application (analytical query app)
4.2
Custom Catalog Extension
Add app to SAP Fiori catalog and
publish
5.1
Custom Analytical Queries
Copy or create query, publish
3
Export/Import Software Collection
Transport to production system
6

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Financial planning and analysis for SAP S/4HANA – The suite
Company
Cost Center
Job Location
Roadmap item
Company
Profit Center
Customer
Product Plant
Company
Cost Center
Asset Class
Project
Company
Cost Center
Profit Center
Functional Area
Roadmap item
“Top-level Model”
See also:
Unit on Planning in week 3

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Intelligent technologies assist, adapt, and automate end-to-end business processes
Core capabilities
▪ Assist data-driven decision-making
▪ Adapt business processes in real time
▪ Automate processes within and between systems
Key principles
▪ Scalable enterprise-grade AI
▪ Tangible business outcomes
▪ Trusted data and intelligent recommendations
▪ Integrated technologies and processes
Continuous learning from business data leads to
continuous improvement of business processes
See also:
Units on Predictive and ML in week 4

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Data integration – Bird’s eye view
SAP S/4HANA Cloud
SAP Business
Warehouse powered
by SAP HANA &
SAP BW/4HANA
SAP Data Intelligence
Other SAP solutions
3rd party analytics &
data persistency tools
…
Predefined
Extraction
CDS
Views
Transfer
Protocols:
CDI,
ABAP
Pipeline
(WebRFC),
SOAP
(RFC)
Data
replication
(data is
copied)
and/or
Data
federation
(remote-
access)
Use Cases:
▪ Business Process
Intelligence
▪ Product Footprint
Management
▪ Industry-specific content
▪ Customer-managed
cross product reporting
▪ Consolidation of data
from multiple SAP
S/4HANA instances/
tenants
▪ …
See also:
Units on Data Integration in week 5

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Architecture overview
API
SOAP
(RFC)
CDI
(OData
)
ABAP
Pipeline
(Websocket
RFC)
SAP S/4HANA Cloud
Data Integration Model
Extraction Runtime
(ODP/ODQ, CDC, Reconstruction)
CDS Extraction View
Internal CDS View Model
Table
SAP S/4HANA
SAP S/4HANA CE
Communication
Scenario
SAP_COM_0042 SAP_COM_0532
Consumers/Clients
(not exclusively,
others possible)
SAP Business
Warehouse
powered by
SAP HANA &
SAP BW/4HANA
SAP Data
Warehouse Cloud
SAP Data
Intelligence
SAP_COM_0531
SAP HANA
Scenario 35D 53M 53L
1 2 3 4
See also:
Units on Data Integration in week 5

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SAP S/4HANA 2020 OP
SAP S/4HANA Cloud 2105
SAP Docu
Books
SAP S/4HANA embedded analytics
SAP S/4HANA embedded analytics – User Roles
Machine Learning and Predictive Analytics with SAP S/4HANA
Implementer’s Guide to S4-based Financial Planning & Analysis
for SAP S/4HANA using SAP Analytics Cloud
SAP S/4HANA Embedded Analytics – A Step Ahead and Beyond |
SAP Blogs
Part 1 – SAP S/4HANA Cloud Data Integration to power your
Intelligence Enterprise
Part 2 – SAP S/4HANA Cloud Data Integration Overview
Creating Dynamic Date filter using the Manage Date Function App
Six reasons why Web Dynpro is Better than Design Studio in SAP
S/4HANA Cloud
Blogs
YouTube: SAP S/4HANA Cloud
SAP Fiori Apps Reference Library
Others
Where to find more information

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Key takeaways
▪ SAP S/4HANA embedded analytics is not a single
feature but a concept of how to get insights to a
business user
▪ SAP S/4HANA embedded analytics comes with a lot
of predefined business content in the form of KPIs,
reports, queries, predictive scenarios, planning
scenarios, and more
▪ The main user types addressed by SAP S/4HANA
embedded analytics are business users and
analytics specialists
▪ The analytics specialist is a role that has all the tools
to create customer-specific analytics content
▪ SAP S/4HANA embedded analytics is well integrated
with other SAP Analytics offerings and makes none
of them obsolete

Thank you.
Contact information:
open@sap.com

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Unit 2: Architecture Overview of Embedded
Analytics

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Architecture overview of embedded analytics
Agenda
1. What is analytics from an architecture point of
view
2. Introduction to the virtual data model as the
basis for analytical modeling in SAP S/4HANA
3. Analytical technology stacks in SAP S/4HANA
4. Analytical design patterns in SAP S/4HANA

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Components of analytical applications
Analytical queries
▪ The core asset of the analytics domain
▪ Describe the relevant relations in the data model, specific
calculations, authorizations, and configuration possibilities
Authoring tools and repository
▪ Provide the means for creating, testing, and managing
queries
Query execution engine
▪ Execution engine optimized for analytical queries in terms
of data model, performance, and semantics
Analytical UIs
▪ Enable dynamic configuration of the queries and
presentation of the results of execution
▪ Support analytical consumption patterns

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Embedded vs enterprise (cross) analytics
Embedded Analytics
▪ All components on the previous slide share the same lifecycle of SAP S/4HANA
▪ Often, data, queries, and UIs are tightly coupled in one SAP S/4HANA application
▪ Often, queries are executed on the live data of the application optimized for transactional
processing
– Committed transactions are instantly visible for analytics
– Additional runtime resources for optimization of the queries
Enterprise Analytics
▪ Data has a different lifecycle to other analytical components:
– Data follows the lifecycle of SAP S/4HANA
– Other components have another lifecycle like in a separate data warehouse product
▪ Often, data is replicated and optimized for analytical processing
– Latency between data changes in the source system and replication (eventual consistency)
– Better possibilities for performance optimizations
▪ Enterprise analytics is not a part of this architecture overview

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Virtual data model – Principles
The notion of virtual data model (VDM) applies to two related concepts in SAP S/4HANA:
▪ A collection of design principles for ABAP CDS views (or models) aimed to standardize the
implementation of common modeling patterns in SAP S/4HANA
▪ The set of CDS views in SAP S/4HANA following these design principles
VDM design principles
1. Naming rules for CDS models and element names. For instance, the VDM view I_CostCenter
represents the cost center entity in all SAP S/4HANA applications.
2. Enforcement of unambiguous element names through global technical names catalog (GFN). Thus,
the element CostCenter represents the cost center identifier in each and every model it is used in.
3. Specification of purpose of CDS views: analytical dimension, cube, search model, text, value help
etc.
4. Strict specification of the model lifecycle
– Stability contracts: if a view is safe to use in customer development
– Deprecation workflow: if a view or an element of a view should no longer be used and what to use
instead

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Extension
View
Extension
View
Extension
View
Virtual data model – Technical components
Basic interface views
▪ Represent the core business entities of the SAP S/4HANA system
▪ Designed very close to the database tables – can be used instead of the table without
performance penalties
▪ Add semantics to the raw table data through aligned names and annotations
▪ Often designed for re-use and are subject to stability contracts
Composition interface views
▪ Combine together multiple basic interface views into a business component
▪ Implement business logic on SQL level
▪ Subject to stability contracts
Consumption views
▪ Implement the context-specific business logic
▪ Normally are not reusable outside of this specific context
Extension views
▪ Allow to add custom fields to the SAP models
▪ Normally are defined on the basic interface views and propagated up the stack
Metadata extensions
▪ Special CDS constructs for custom extensions on the metadata level (i.e. annotations)
Private views
▪ Implement the application-specific logic which is subject to frequent changes
▪ Should never be used explicitly outside of application development
Metadata Extension
Metadata Extension
Metadata Extension
Consumption
View
Basic Interface
View
Private View
Private View
Composition
Interface View

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Cube
Hierarchy Dimension Text
Fact
Value Help
Analytical models in VDM
Cube
▪ A cube is normally a VDM composite interface view
▪ It joins together the facts and corresponding dimensions that are related
to a specific business domain
– It can use dedicated fact views to access the fact data on the
database
– It has a significant amount of associations pointing to the views
containing additional attributes for dimensions
Dimension
▪ A dimension is normally a basic interface view
▪ Contains additional attributes of a dimension and special metadata
describing it, including multilanguage texts, hierarchy definitions, and
value helps
Query
▪ Queries are implemented as consumption views
▪ A special metadata container for usage in OLAP scenarios:
– Selects a subset of dimensions and measures available in a cube
– Adds additional restricted and calculated measures
Query

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Authoring tools for analytical models
View Browser
▪ List, search, and examine all CDS views available in
an SAP S/4HANA system
Custom View Builder
▪ Build different kinds of custom views on top of released
SAP models, including cubes and dimensions
Custom Analytical Query
▪ Build custom analytical queries on top of cubes and,
occasionally, dimensions
Manage KPIs and Reports
▪ Create different kinds of analytical SAP Fiori
applications (KPIs, reports, and SAC stories)
SAC Story Designer
▪ Design the content of an embedded story

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Execution engines
SADL (Service Adaptation Definition Language)
▪ Main SAP S/4HANA engine for processing OData requests
▪ Supports analytical OData V2 and V4 functionality
▪ Can generally execute analytical OData requests on any
CDS view except analytical queries
ABAP Analytical Engine
▪ Special engine designed for OLAP processing in ABAP stack
▪ Implements the SAP proprietary INA protocol optimized for
analytical processing
▪ Uses special VDM artifacts called “analytical queries” for
support of advanced OLAP features like exception
aggregation and calculations
INA Stack
▪ Tools and models around the INA protocol
OData Stack
▪ Tools and models around the OData protocol

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Analytical UIs
KPI
▪ Represents a specific key performance indicator based on a highly aggregated query
▪ Often with a possibility of drill-down into detailed analysis of the KPI
▪ Implemented on the OData stack using both AE and SADL as execution engine
Dashboard
▪ Provides an overview of a number of related KPIs, charts etc.
▪ Supports linked analysis based on shared filters and drill-downs
▪ Implemented using INA stack using embedded SAP Analytics Cloud
Multi-Dimensional Analysis
▪ Offers slice and dice functionality on a set of data represented as a cube
▪ Implemented using INA stack using Web-Dynpro Grid
Analytical List Page and free-hand applications
▪ Offers specific patterns and controls for integration of analytical UIs and queries into arbitrary
SAP Fiori applications
▪ Implemented using OData stack using both AE and SADL as execution engine

Unit 3: Predefined Analytical Content – Overview

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Predefined analytical content – Overview
(ondemand.com)

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Current status of applications (content)
https://fioriappslibrary.
hana.ondemand.com/
sap/fix/externalViewer/
Area
SAP S/4HANA
On Premise
(1809)
SAP S/4HANA
On Premise
(1909)
SAP S/4HANA
Cloud Edition
(1911)
SAP S/4HANA
Cloud Edition
(2002)
SAP S/4HANA
Cloud Edition
(2005)
SAP S/4HANA
Cloud Edition
(2008)
SAP S/4HANA
On Premise
(2009)
Finance 299 349 358 361 363 369 369
Procure 64 87 89 91 93 95 95
Public Services 20 63 71 71 71 71 71
Produce 38 56 56 57 57 57 57
MDM 13 38 39 41 41 41 47
Sustainability 11 38 38 39 40 40 40
Retail & Multichannel 11 35 35 35 38 38 38
SD 22 28 28 29 30 33 33
T&L – Transportation& Logistics 22 29 28 28 28 28 28
SAP S/4HANA Foundation and Cross 12 18 18 18 18 18 18
Oil & Gas 3 6 17 17 17 17 17
IDEA 14 14 14 14 15 15 15
Utilities 13 13 13 13 13 13 13
HPA – High PerformanceApp 4 13 13 13 13 13 13
GS 0 8 9 9 9 9 9
Service Industries 4 8 8 8 8 8 8
DiscreteIndustries 0 4 4 4 5 7 7
DSC – DigitalSupply Chain 3 6 6 6 6 6 6
S4CRM 0 3 5 5 5 5 5
HCM 1 4 4 4 4 4 4
FinancialServices 1 3 3 3 3 3 3
CD – Customer Development 0 1 1 1 1 1 1
SUM 555 824 857 867 878 891 897
SAP Analytics Cloud Content 35 35 35 35

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Best practices content
SAP Best Practices Explorer

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Scope options for SAP Best Practices for analytics with SAP S/4HANA Cloud
Scope Option Source System(s) Front-End Tool
Embedded Analytics for SAP S/4HANA Cloud* SAP S/4HANA On Premise
Enablement workshop demonstrating Analytics capabilities with SAP S/4HANA Cloud SAP S/4HANA Cloud and S/4 On Premise
Integration between SAP S/4HANA and SAP BW SAP S/4HANA On Premise SAP BW
Predictive Analytics in SAP Analytics Cloud with SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC
SAP S/4HANA Professional Services Cloud content w SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC, Dibo
SAP S/4HANA Cloud Procurement content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC, Dibo
SAP Financial Planning and Analytics for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo
SAP Liquidity Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC
SAP Project Budgeting & Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo
Embedded Machine Learning in SAP S/4HANA SAP S/4HANA On Premise
SAP S/4HANA Cloud Financial Consolidation content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC
SAP Workforce Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC, Dibo
SAP S/4HANA Cloud Sales content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC
SAP Sales Planning for SAP S/4HANA Cloud SAP S/4HANA Cloud SAP SAC
SAP S/4HANA Cloud Treasury Management Content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC
SAP S/4HANA Cloud Receivable management content with SAP Analytics Cloud SAP S/4HANA Cloud SAP SAC
* Selection of 1 of these scope options is mandatory, the others are optional
Legend
SAP SAC = SAP Analytics Cloud
SAP Dibo = SAP Digital Boardroom
SAP BW = SAP Business Warehouse
New in 2102

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Business content
Business Content –
SAP Analytics Cloud |
SAP HANA Journey

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Business Content Benefits

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Pre-delivered Dashboards
▪ Aging Report for Accounts Payable
▪ Treasury Executive Dashboard
▪ Group Financial Statement
▪ Disputes
▪ Purchasing Spend Dashboard
▪ Contract and Lease Management
Dashboard
▪ Credit Management Reporting
▪ Collections Management Reporting
▪ Order-to-Cash Manager Dashboard
▪ Customer Returns Overview
Ready to use, pre-delivered standard dashboards with Embedded SAP Analytics Cloud

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SAP Analytics value-based solution capabilities
Procure
Finance
▪ Accurate financial statements enable agility
▪ Accurate financial goals & business plans to
facilitate efficient and effective execution
▪ Monitor DSO to determine customer credibility
▪ Use margin analysis to gain valuable insights
as to the drivers of profitability
▪ Identify process improvements to increase
efficiency and manage risk
▪ True spend visibility for effective cost
management
▪ Manage supplier risks to ensure prompt deliveries
and improvement in customer satisfaction
▪ Management of purchase orders and vendor
spend to help reduce cost and improve
profitability
Produce Sales
▪ Manage inventory effectively for accurate
production
▪ Manage stock in transit for improved
cost control and customer satisfaction
(more on-time deliveries)
▪ Utilize accurate production costs in
profitability analysis
▪ Set targets and forecast future sales
performance using insights from sales
data, trends, and metrics
▪ Accurately forecast sales & profits based
on observed results
▪ Manage delivery schedules by monitoring
delivery performance to improve customer
satisfaction.
Value
Drivers
1. Maximize the value of SAC as a flexible tool and provide templates that help the customer build analytics targeted at their specific business requirements.
This is the current state of planning and may be changed by SAP at any time.
Note: Predictive Analytics highlighted in yellow
Analytics
▪ Optimize invoice payment process (AP)
▪ Financial status, foreign exchange rates
G/L (TRM)
▪ G/L Accounting Transactional Analysis
▪ Asset Accounting Analysis
▪ Profitability Margin Analysis
▪ Year-Over-Year Growth Analysis
▪ Actual v Plan Variance Analysis
▪ Balance Sheet Analysis
▪ Cash Flow Analysis
▪ Financial KPI Analysis (Dynamic)
▪ Days Payable Outstanding Analysis
▪ Day Sales Outstanding Analysis
▪ Trend Cost Analysis
▪ Profit & Loss Analysis
▪ Financial Consolidation for Group Reporting
Guided Analytics / Templates1
▪ Finance Contract Accounts Analysis
Analytics
▪ Purchase Requisition Item Analysis
▪ Supplier Performance Analysis
▪ Purchasing Spend Analysis
▪ Non-managed Spend Analysis
▪ Off-Contract Spend Analysis
▪ Monitor Scheduling Agreements Analysis
▪ Central Contract Analysis
▪ Purchase Order Value Analysis
▪ Contract Consumption Prediction
▪ Supplier Delivery Prediction
▪ Cash Discount at Risk Prediction
▪ Supplier Evaluation Trend Analysis
▪ Off-Contract and Spend Visibility
▪ Service Spend Analysis
Guided Analytics / Templates1
▪ Sourcing – Spends and Suppliers Award Analysis
▪ Validity of Contracts Analysis
▪ Buyer Network Analysis
Analytics
▪ Stock Champion Analysis
▪ Overdue Material Delivery Analysis
▪ Blocked Invoice Payment Analysis
▪ Actual vs Plan Variance Analysis
▪ Work Center Cost Variance Analysis
▪ Inventory Stock Analysis
▪ Outbound Delivery Performance Analysis
▪ Scrap Amount Variance Analysis
▪ Stock-in-Transit Analysis
▪ Defective Materials Analysis
▪ Demand Driven Replenishment Prediction
▪ Production Cost Analysis
Analytics
▪ Central Stock with Returns Analysis
▪ Managing Sales Quotations
▪ Sales Volume, Profit Margin, Net Sales Cost
and Open Sales Analysis
▪ Customer Returns Analysis
▪ Incoming Orders vs Open Orders Variance
Analysis
▪ Backorders – Sales Order Confirmation
Situation Analysis
▪ Delivery Performance Analysis
▪ Predict Conversion of Sales Quotations
to Sales Orders
▪ Predict Sales Forecasts
▪ Delivery Performance: Predict Delivery
Delay

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Pre-delivered content
Demo

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Key takeaways
Business Applications
Industry
Solutions
Lines of
Business
Enterprise
Resource
Planning
Analytics
Database & Technology
Cloud
Innovation adoption at scale, your way
▪ Preconfigured cloud and on-premise solutions
▪ Across SAP’s solution portfolio
▪ Based on proven business best practices
▪ Simple to deploy with a proven methodology
▪ With predictable time and effort
▪ Delivered by SAP and partners
SAP Best Practices
User Experience and Mobility

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Key takeaways
▪ Get a jump-start for your implementations with SAP Best
Practices
▪ Deploy SAP innovations quickly, simply, and flexibly
▪ Use SAP’s tested and proven methodology with
prescriptive guidelines
▪ Take advantage of preconfigured business content
▪ Protect your on-premise investment with extensions to
the cloud
▪ Move up on the path to the cloud from preassembled
trials to productive use
Fast time to value
Predictable results
Simple on-boarding
to cloud

Unit 4: Using Multidimensional Reports

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Using multidimensional reports
Enterprise Planning
and BI
SAP BW/4HANA,
SAP Data Warehouse
Cloud
SAP Analytics
SAP S/4HANA
Spend off-
contract
Incoming
sales order
….
PO avg.
delivery time
Non-managed
purchasing spend
Real-time access to
SAP S/4HANA data
Data replication of
SAP S/4HANA data
data model)

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Recap – The business user persona
▪ Uses SAP S/4HANA embedded analytics in the context of a business process
or line-of-business departmental activities, typically no IT background.
▪ Here are a few of many examples (have a look at
https://fioriappslibrary.hana.ondemand.com/sap/fix/externalViewer/):
− Material planner:
SAP Fiori app in SAP S/4HANA: Stock Availability Analysis for Just-In-Time
Calls, F3923
− Purchaser:
SAP Fiori app in SAP S/4HANA: Manage Purchase Requisitions, F1048
− Collection supervisor:
SAP Fiori app in SAP S/4HANA: Supervise Collections Worklist, F2375
− Sales clerk:
SAP Fiori app in SAP S/4HANA: Sales Order Fulfillment Issues, F0029A

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SAP Analytics
Cloud
Multi-
dimensional
reports
SAP S/4HANA Analytics Specialist: Enable the Business User
View maintenance:
ABAP for Eclipse
KPI and report
modeling apps
SAP Analytics
Cloud
Other SAP BI
Products:
Examples: Analysis
for Office, Design
Studio, …
Smart
Business KPIs,
analysis path
apps
Embedded
SAP Analytics
Cloud
dashboards
Analytical list
pages
Overview
pages
Analytical
SAP Fiori
apps
Key user tooling
Recap – Overview of current offering per user type
we are here

5
PUBLIC
Overview Pages
Smart Business KPIs
Dashboards
• SAP S/4HANA Cloud: SAP Fiori-embedded SAP Analytics Cloud
content, stories come as part of SAP S/4HANA Cloud apps
Recap – Capabilities for the business user
we are here

6
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
▪ Slice and dice, sort, filter
▪ Subtotals at any level
▪ Drill down, drill across
▪ Swap rows and columns
▪ Display chart and table
▪ Save personalized views
▪ Navigate to other SAP Fiori
apps
Business user: analyze the data and act according to insights

7
PUBLIC
Typically used
▪ For insight-driven, explorative, and flexible
analysis of large amounts of data
▪ For data centered around one specific topic,
such as sales orders, purchase orders,
G/L line items, cost center reporting,…
▪ Examples of SAP Fiori apps:
− Incoming Sales Orders (F1249, role
SAP_BR_SALES_MANAGER)
− Cost Centers – Actuals (F0963A, role
SAP_BR_OVERHEAD_ACCOUNTANT)
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
Multi-
dimensional
reports

8
PUBLIC
How to use multidimensional reports
Demo

9
PUBLIC
Key takeaways
▪ A multidimensional app in general works like a very
elaborate pivot table.
▪ The user can explore the data using slice and dice,
filtering, sorting, showing subtotals, and viewing the
data in a chart.
▪ From the data in a multidimensional report, the user can
easily navigate to other SAP Fiori apps, while keeping
the context like the selected ID.
▪ The result set of a multidimensional report can be
extensively personalized. The personalization is saved
in variants.
▪ A certain variant can be set as the default. Variants can
also be shared with others by making them “public”.
▪ The role of the analytics specialist has all the tools to
create additional, customer-defined multidimensional
reports.

10
PUBLIC
SAP S/4HANA 2020 OP
SAP Docu
Books
SAP Blogs
S/4HANA Cloud
Blogs
Others

Unit 5: Using KPIs and Embedded SAP Analytics
Cloud

2
PUBLIC
Using KPIs and embedded SAP Analytics Cloud
Enterprise Planning
and BI
SAP BW/4HANA,
SAP Data Warehouse
Cloud
SAP Analytics
SAP S/4HANA
Spend off-
contract
Incoming
sales order
….
PO avg.
delivery time
Non-managed
purchasing spend
Real-time access to
SAP S/4HANA data
Data replication of
SAP S/4HANA data
data model)

3
PUBLIC
▪ Uses SAP S/4HANA embedded analytics in the context of a business process
or line-of-business departmental activities, typically no IT background.
Calls, F3923
− Purchaser:
− Sales clerk:

4
PUBLIC
SAP Analytics
Cloud
Multi-
dimensional
reports
View maintenance:
ABAP for Eclipse
KPI and report
modeling apps
SAP Analytics
Cloud
Other SAP BI
Products:
Examples: Analysis
for Office, Design
Studio, …
Smart
Business KPIs,
analysis path
apps
Embedded
SAP Analytics
Cloud
dashboards
Analytical list
pages
Overview
pages
Analytical
SAP Fiori
apps
Key user tooling
we are here

5
PUBLIC
Overview Pages
Smart Business KPIs
Dashboards
we are here
we are here

6
PUBLIC
▪ KPI tiles on SAP Fiori launchpad providing
quantitative information
▪ KPI details with various drill-downs by selected
dimensions
▪ Personalization and “Save as tile” of the KPI
details
▪ Instead of KPI details (default), navigation from
the KPI tile to an analysis path or any other
SAP Fiori app can be configured
▪ Modification-free adaptation of predefined KPIs
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages

7
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
Typically used
▪ For providing highly aggregated information to
indicate a business situation, complemented
with trend and status information
▪ To initiate an insight-driven analysis process
and to trigger follow-up action
▪ Examples:
− Spend Variance (F1377, role SAP_BR_BUYER)
− Overdue Receivables (F1747, role
SAP_BR_AR_MANAGER)

8
PUBLIC
How to use KPIs
Demo

9
PUBLIC
SAP Analytics Cloud is a next-generation BI solution that allows business users to analyze, simulate, plan, discover,
predict, and collaborate all in one place.
It can be seamlessly embedded into the SAP Fiori UI of SAP S/4HANA to enable unprecedented ease and speed
powered by
SAP Analytics Cloud
SAP S/4HANA Cloud
Seamless
navigation between
analytical and
transactional apps
Based on live data
connections, for
replication-free
access
Pre-built standard
dashboards
Embedded in
SAP Fiori user
experience
SAP S/4HANA embedded analytics powered by SAP Analytics Cloud
Integrated in SAP S/4HANA role
and screen variant management

10
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
▪ SAP Analytics Cloud dashboards (aka
“stories”) based on SAP S/4HANA live data
▪ Embedding the feature-rich SAP Analytics
Cloud dashboard functionality into the
SAP Fiori user experience
▪ Personalization options in setting filters and
parameters and saving them in “variants”
▪ Comprehensive overviews on a given topic;
dashboards can have multiple pages

11
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
Typically used
▪ For a comprehensive overview on a business
process or unit, with data from multiple queries
▪ For manager roles and for advanced
visualization, e.g. using geo maps
▪ Examples:
− Treasury Executive Dashboard (F4316, role
SAP_BR_TREASURY_RISK_MANAGER)
− Customer Returns Overview (F4561, role
SAP_BR_SALES_MANAGER)

12
PUBLIC
How to use embedded SAP Analytics Cloud dashboards
Demo

13
PUBLIC
Key takeaways
▪ For providing highly aggregated information including a
status and trend indication, SAP Smart Business KPIs
are the ideal feature in SAP S/4HANA embedded
analytics.
▪ From the KPI tile on SAP Fiori launchpad, the user will
typically launch the standard drill-down application,
which can be personalized to a high degree.
▪ Also other apps can be executed directly from the KPI
tile, depending on the configuration.
▪ With SAP Analytics Cloud, embedded edition, SAP
S/4HANA provides dashboards (“stories”) that are
seamlessly integrated into the SAP Fiori UI and
navigation concept.
▪ Dashboards can be personalized and multiple
“variants” of e.g. filter settings can be stored per user.
▪ For both types of apps, SAP S/4HANA comes with
predefined business content for various business roles.

14
PUBLIC
SAP S/4HANA 2020 OP
SAP Docu
Books
SAP Blogs
S/4HANA Cloud
Blogs
Others

Unit 6: Using Analytical List Pages and Overview
Pages

2
PUBLIC
Using analytical list pages and overview pages
Enterprise Planning
and BI
SAP BW/4HANA,
SAP Data Warehouse
Cloud
SAP Analytics
SAP S/4HANA
Spend off-
contract
Incoming
sales order
….
PO avg.
delivery time
Non-managed
purchasing spend
Real-time access to
SAP S/4HANA data
Data replication of
SAP S/4HANA data
data model)

3
PUBLIC
▪ Uses SAP S/4HANA embedded analytics in the context of a business
process or line-of-business departmental activities, typically no IT background
Calls, F3923
− Purchaser:
− Sales clerk:

4
PUBLIC
SAP Analytics
Cloud
Multi-
dimensional
reports
View maintenance:
ABAP for Eclipse
KPI and report
modeling apps
SAP Analytics
Cloud
Other SAP BI
Products:
Examples: Analysis
for Office, Design
Studio, …
Smart
Business KPIs,
Analysis Path
apps
Embedded
SAP Analytics
Cloud
dashboards
Analytical list
pages
Overview
pages
Analytical
SAP Fiori
apps
Key user tooling
we are here

5
PUBLIC
Overview Pages
Smart Business KPIs
Dashboards
we are here

6
PUBLIC
▪ Visual filters to focus on the most important
areas
▪ User switch between complex, visual, facet filter
▪ Chart area for quick overview and drill-down,
charts can be personalized (30 chart types
available)
▪ Details area for operational details
▪ Navigation to other SAP Fiori apps that are
semantically linked to the data
▪ Personalized views
▪ Ideal for insight-to-action scenarios
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages

7
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
Typically used in situations
▪ of a rather transactional nature (creating,
updating, deleting objects)
▪ that require filtering and minimal analysis of the
data before taking action
▪ Examples:
− Supervise Collection Worklist (F2375, role
SAP_BR_AR_MANAGER)
− Event-Based Revenue Recognition (F2129,
role SAP_BR_SALES_ACCOUNTANT)

8
PUBLIC
How to use analytical list pages
Demo

9
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
▪ Most important information at a glance
▪ Combination of analytical and transactional information
▪ More detailed information available with one click
▪ Navigation to other SAP Fiori apps that are semantically
linked to the data
▪ Filter settings affect the data in all cards
▪ Visibility and sequence of cards can be personalized

10
PUBLIC
Multi-
dimensional
reports
SAP Smart
Business
KPIs
Analytical
SAP Fiori
apps
Overview
pages
Embedded
SAP
Analytics
Cloud
dashboards
Analytical
list pages
Typically used
▪ for dashboards where (embedded) SAP Analytics is not an
option (e.g. because the customer is on-premise only)
▪ to provide a comprehensive overview and navigation options for
a certain topic or process (sales overview, supplier overview, …)
▪ Examples:
− Sales Management Overview
(F2601, role SAP_BR_SALES_MANAGER)
− Procurement Overview Page
(F1990, role SAP_BR_PURCHASER)

11
PUBLIC
How to use overview pages
Demo

12
PUBLIC
Key takeaways
▪ Analytical list pages are best suited for transaction-
driven scenarios with frequent insight-to-action
workflows.
▪ Analytical list pages can be comprehensively
personalized for the individual business user’s needs.
▪ Overview pages are delivered for monitoring all main
business processes.
▪ Personalization of overview pages works slightly
differently than for other analytical apps.
▪ SAP ships many predefined overview page and
analytical list page apps for various business roles.
▪ For analytical list pages, an app exists for the analytical
specialist to create own instances of such an app.

13
PUBLIC
SAP S/4HANA 2020 OP
SAP Docu
Books
SAP Blogs
S/4HANA Cloud
Blogs
Others

openSAP_s4h27_Week_1_2025_All_Slides.pdf

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