#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovation Update (Oct 2018)

PUBLIC
#askSAP Analytics Innovations Community Call
October 18, 2018
SAP Analytics
Fall 2018 Innovation Update

2PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
• Annual webinar series for the analytics
community hosted by SAP Analytics
• An opportunity for you to direct the discussion, get
your questions answered, and end the session
with some useful advice
• Live and interactive 90 minutes
• Connect on topics before, during, and after the
call via Twitter using #askSAP
#askSAP Analytics Innovations Community Call Series

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP.
Except for your obligation to protect confidential information, this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or any related
document, or to develop or release any functionality mentioned therein.
This presentation, or any related document and SAP's strategy and possible future developments, products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice. The information in this
presentation is not a commitment, promise or legal obligation to deliver any material, code or functionality. This presentation is provided
without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a
particular purpose, or non-infringement. This presentation is for informational purposes and may not be incorporated into a contract. SAP
assumes no responsibility for errors or omissions in this presentation, except if such damages were caused by SAP’s intentional or gross
negligence.
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates,
and they should not be relied upon in making purchasing decisions.
Disclaimer

Today’s speakers
Steve
McHugh
Dir., Enterprise BI
/ Hybrid Analytics
Product
Marketing, SAP
Gerrit
Kazmaier
SVP, SAP Analytics,
SAP HANA, and
Database and Data
Management, SAP
Richard
Mooney
Head of Product
Management,
Predictive Analytics and
Machine Learning, SAP
Adrian
Westmoreland
Product Management,
SAP Analytics Cloud
Lothar
Henkes
Vice President
Product
Management, SAP
Vision SMART Predictive
Hybrid Analytics
and BI 4.3
SAP BW4/HANA with
SAP Analytics Cloud
Ingo
Hilgefort
Chief Product
Expert, SAP
Analytics Cloud
Application Design
SAP Analytics Cloud
Moderator

Augmented Analytics
• Identify unseen correlations with Search to Insight
• Smart discovery 2.0 accelerates deployments by
autogenerating a complete series of dashboards
• Smart predict empowers new citizen data scientists
Intelligent Enterprise
• Beta launch for SAP SuccessFactors embedded
analytics and people analytics
• Amplify partner developed business content
• Announcement of application design and APIs
Hybrid Environments
• Optimized live universes
• Bridge environments with SAP Analysis for Office, for
SAP Analytics Cloud ( SAC)
• Roadmap announcements for SAP BusinessObjects BI
Platform 4.3 and SAP Lumira Designer
• Optimized SAP Business Planning and Consolidation
(BPC) connectivity (S/4)
Collaborative Enterprise Planning
• Model linking/cross LoB planning on single planning
platform
• Optimized presence on SAP.com
• New collateral and event content
FIU18 Major themes and announcements

SAP Analytics
VisionGerrit Kazmaier, SVP, SAP Analytics, SAP HANA, and Database and Data Management, SAP
October 18, 2018

8© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ This presentation and SAP‘s strategy and possible future developments are subject to change and may be changed by SAP at any time for any reason without notice. This document is
provided without a warranty of any kind, either express or implied, including but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement
8CUSTOMER
PB
TB*

“When faced with a difficult question, we
often answer an easier one instead, usually
without noticing the substitution.”
Daniel Kahneman

Smart
Analytics
Networked
Planning
One. Simple. Cloud.
Operational
Predictive
Agile
Semantics
HANA Data
Fabric

PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Analytics Cloud
Boardroom | Web | Mobile | NLP
BI | Planning | Predictive
Agile Semantics | HANA Data Fabric
SAP
Analytics
Hub
SAP BusinessObjects
Business Intelligence Suite
SAP BW/4HANA
SAP Business Planning
and Consolidation
SAP HANA
SAP Data Hub SAP S/4HANA & LoB
3rd
Party
Cloud
On-Premise
3rd Party

The Intelligent Enterprise
Digital Core
People
Engagement
Manufacturing
& Supply Chain
Customer
Experience
Network &
Spend Management
Data
Management
Cloud
Platform
Intelligent
Technologies
AI
IoT
Analytics
Machine Learning
Digital
Platform
Intelligent Suite
Analytics

Smart Assist
Deliver Simplicity through Machine Learning
Integrate machine learning seamlessly into business processes and workflows
Leverage machine learning to save time, remove complexity, and gain actionable insights

SAP DWaaS Components
SAP Data Warehouse (aaS) on SAP Cloud Platform
Visualisation &
Collaboration
Data Modelling &
Management
Data Storage &
Integration
Services
SAP Analytics Cloud
SAP HANA (aaS)
Modelled DW SAP Data Hub SQL DW
Sources
Internal &
External
Relational
Non-
Relational
File
This presentation is not subject to your license agreement or any other agreement with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to develop or release any functionality mentioned in this presentation. This presentation and SAP's strategy and possible future developments are subject to change and may be changed by SAP at any time for any
reason without notice. This document is provided without a warranty of any kind, either express or implied, including butnot limited to, the implied warranties of merchantability, fitness for a particular purpose,or non-infringement. SAP assumes no responsibility for errors or omissions in this document, except if such damages were caused by SAP intentionally or grossly negligent.

SAP Analytics
SMART PredictRichard Mooney, Head of Product Management, Predictive Analytics & Machine Learning, SAP
October 18, 2018

The digital era is evolving into the intelligence era
1960s-1980s 1990s-2000s 2000s-2010s 2010s-2020s Time
Productivity Industrial
Automation
Business Process
Automation
Digital
Automation
Intelligent
Enterprises

Work Smarter with Augmented Analytics

Explain anything
with a single click
Faster answers,
delivered naturally
Artificial intelligence
made accessible
The smart analytics journey

• Enable business analysts to build
trusted and actionable predictions with
ease
• Create predictions to determine the
next best course of action
• Generate hyper-personalized insights
into your customers, vendors, and
suppliers
• Classification, Regression, Time Series
Analysis
• Regional rollout
Smart Predict launched in September

Smart assist and smart predict
Content generation Actionable predictionsPattern detection
▪ Search the way you naturally would and
automatically generate visual answers
▪ Enhance these visuals with automatic in-context
explanations
▪ Identify unique groups and trends in your visuals
with the click of a button
▪ Forecast future values based on historical data
▪ Predict the likelihood of future events occurring
to drive the best possible outcome
▪ Embed machine learning insights back into
plans and stories
▪ Quickly develop a clear understanding of intricate
aspects of your business data
▪ Click on a data point to get smart textual and
visual insights
▪ Example: Want to know more about your
Revenue in the Product Category: Bikes? Smart
insights panel offers an explanation

Q4/2018 Q2/2019 +Q1/2019
SAP Analytics Cloud smart predict
Smart Predict
▪ User interface simplification and
improvement to ensure business
analysts can use smart predict
independently
End to End Predictive Scenarios
▪ Extend acquisition support of datasets
to SQL databases
▪ Predictive analytics content network
first use case: invoice payment
forecasting
 Publish predictive scenario to SAP
S/4HANA on-premise applications
(through SAP Predictive Analytics
integrator)
 Additional predictive analytics content
network use cases
 Export output predictive datasets
Smart Predict
▪ Guided data preparation and
automated generation of features
▪ Scheduled automated predictions
refreshment and quality testing
▪ Extend predictive scenario scope
(clustering, multi-class classification,
…)
▪ Extend predictive outputs (reason
codes)
▪ Live SAP HANA data connections
▪ Publish predictive scenario to SAP
S/4HANA Cloud applications (through
SAP Predictive Analytics integrator)

Demo
SMART Predict - SAP Analytics Cloud

SAP Analytics
Hybrid Analytics & BI 4.3
Adrian Westmoreland, Product Management, SAP Analytics Cloud
October 18, 2018

SAP Analytics strategy is hybrid
Run the Business
Optimize
Lower Costs
Grow the Business
Plan Ahead
Innovate
CloudOn Premise
SAP Analytics
BI
Governed BI,
Reporting and
Data Discovery
Planning
Business
Planning and
Consolidation
Predictive
Predictive
Analytics/ML
SAP Analytics Cloud
SAP Digital Boardroom SAP Analytics Hub
Data Harmonization
SAP BW/4HANA
Modern Data Warehousing
BI, Planning and Predictive/ML integrated in one solution
Users | Applications | Data
Connect

Key Results:
• 82% percent of companies agree that hybrid analytics/BI and data processing is a critical next step in
the evolution of their analytics/BI
• The majority of companies (60%) see some sort of hybrid configuration as the next iteration of their
analytics/BI
• Nearly two-thirds of companies anticipate that the future state of their analytics/BI and data processing
will be comprised of a mix of on-premise and cloud resources
• 71% of companies said they would feel less concerned about running analytics in the cloud if they knew
that no data (including query results) would ever cross the firewall
• 95% of respondents indicated that AI, machine learning, and IoT are important considerations for the
future of their analytics/BI
SAP and Forrester hybrid research
Surveyed 485 analytics and BI decision makers with involvement in their organization’s business technology and analytics/BI strategy. Companies surveyed were from the US, Canada,
Mexico, Brazil, UK, Spain, Italy, France, Germany, India, China, Korea, Japan, and Australia and had employee counts of 1,000 or more.

• Deploy analytics on premise or in the cloud
• SAP BI hybrid pricing: one license, one contract, ultimate flexibility
• SAP Analytics Hub: a single front end for all analytics content
• SAP Analytics Cloud: remote data connections - data stays resident and live on-premise
• Innovation with SAP Analytics Cloud
• Interoperability between SAP BusinessObjects BI (BOE) and SAP Analytics Cloud
Hybrid analytics digital innovation without disruption

SAP Analytics Hub: a single front end for all analytics content
SAP
BusinessObjects
Enterprise
SAP BWThird-PartySAP Analytics
Cloud
Simplify
access to all analytics
Increase IT Efficiency
Avoid chaos, increase usage
Enable BI Governance
by moderators in the community

▪ Cloud-based single point of access for on-premise
and cloud analytics provides a unified user
experience independent of the content or deployment
type.
▪ Business users have a simple way to search for
content, get information, and access analytics.
▪ Content can be documented, categorized, and
curated by power users, who can publish links to
selected analytics and provide information for the
business users.
▪ SAP Analytics Hub only stores metadata, not actual
data or analytics.
SAP Analytics Hub today
Seamless access to any live deployment
SAP Analytics SAP BWThird party
SAP Analytics Cloud

SAP continues to invest on the on-premise BI Suite:
▪ SAP plans to release the next version of the BI suite by Q4 2019. This release, currently
referred to as 4.3, will then become generally available in Q2 2020.
▪ As per the Maintenance Policy, the mainstream maintenance will be extended to 2026 at a
minimum.
▪ SAP will continue to deliver innovations in new versions of the core BI on-prem products:
BI platform, Lumira Server, Web Intelligence, Crystal Reports, Lumira Designer and
Analysis for Office.
▪ SAP plans to deliver new releases of BI add-on clients, in alignment with the BI suite
shipments.
SAP’s continued commitment to the on-premise Business Intelligence Suite
BI 4.2 SP6
July 2018
BI 4.2 SP7
Q1 2019
BI 4.3
Q4 2019
Timeline
BI 4.3 SP1
H1 2020
BOE maintenance to
extend to at least 2026

SAP BI 4.3 key themes
Enterprise Readiness
• Enhance scheduling and
publishing frameworks
• Simplify installation and
deployment
• Comply with highest security
and product standards
• Support new versions of data
sources, applications and OS
• Simplify IaaS deployment
Hybrid
• Leverage existing on prem
assets such as universes, WebI
documents
• Simplify SSO configuration, and
user management across cloud
and on-prem platforms
• Improve integration with SAP
Analytics Hub
User Experience
• New WebI report designer, focus
on HTML5 to replace java applet
• Complete functionality of new BI
launchpad
• Provide customer enhancements
to key BI suite components

• Most complete BI solution available supporting the full range of use cases for reporting, data
discovery, analytic applications, and Office integration.
• Live connectivity to SAP data - All other competitors require extraction and movement of SAP
data to the cloud which presents performance and security concerns for customers.
• SAP hybrid approach with “fast track to cloud” – Important bridge for customers to enable digital
transformation including analytics
• AI-infused analytics and analytic tools (leap frogging best-of-breed players) with smart data
discovery and SAP application integration
• Ability to support a complete digital transformation which is a disruptive wave that SAP can
deliver today
SAP BusinessObjects BI and SAP Analytics Cloud – “better together”

#askSAP Hybrid Analytics & BI 4.3 Q&A

SAP Analytics
Application Design - SAP Analytics Cloud
Ingo Hilgefort, Chief Product Expert, SAP Analytics Cloud
October 18, 2018

Application design
Professional design of centrally governable analytic content ranging from dashboards via
guided analytics to sophisticated planning and smart predict applications
Overview
▪ Intuitive design environment in browser
▪ Large set of design widgets
▪ Function-rich scripting editor
▪ Theming and customization
▪ SDK extensions
▪ Application and story share data connectivity and UI artifacts
▪ Widgets with charts or tables can be re-used in stories

Application design
Released to a few select beta customers
▪ Simple widgets: icons, buttons, dropdown menus, check box group, radio
button group
▪ Data-driven widgets: tables, charts, filterline
▪ Layout widgets: pop-up
▪ Interactions (e.g. filter, cascading behavior) between different widgets via
scripting including global variables
▪ Dynamic switch between widgets (e.g. chart and table) at application run
time
▪ Dynamic and flexible selections on crosstab
▪ Clear structure
– Layout outline with context menu to add and edit scripts
– Design area
– Properties and script editor
▪ Scripting capabilities
– Subset of JavaScript
– Content assistance available – getDimension(), setFilter(), etc
– Completeness and syntax check
– Glance several scripts at once
– Commenting and uncommenting

Demo
Application Design - SAP Analytics Cloud

This is the current state of planning and may be changed by SAP at any time.
Dropdown box cascading behavior
▪ Result of the selection in one dropdown can influence the
selection options of the other dropdown box
▪ Can be done via scripting capability
Application design
Recent innovations

Dynamic switch widgets (e.g. table and chart) at
application runtime
▪ Define widgets at design time
▪ Set visibility properties in styling panel at design time
▪ Using scripting capability to show or hide the widgets at
application runtime
Application design
Recent innovations

Selection on crosstab
▪ On select event can be defined for crosstab
▪ Different selected value based on data cell in crosstab can be
transferred as filter value to other widget
Application design
Recent innovations

Application on-initialization
▪ Application on-initialization event can be defined at design time
▪ Using scripting capability to define the application on-
initialization event
▪ Gaining the flexibility to add custom parameters for initial
loading of applications (e.g. different start up view)
Application design
Recent innovations
Start Up view with chart and
dimension location
Start Up view with Table and dimension Product

Application design
Planned capabilities
Integrating Planning Capabilities:
▪ Support standard planning features (like mass data entry, lock cell,
add comment, planning enabled, data action trigger etc.) via
context menu in analytical applications
▪ Provide scripting capability to trigger the planning specific
functionalities (like version management, refresh data,
publish/revert data, value lock management etc.)
Integrating Smart Capabilities:
▪ Leveraging smart assist features with scripting access in analytical
applications
– Time series forecasting
– Smart Grouping (clustering)
– Smart Insights
– Smart Discovery
– R visualizations
▪ Integrating smart predict
▪ Import predictive models in to app design
▪ Apply predictive model
▪ Consume predictive result

#askSAP Application Design Q&A

SAP Analytics
SAP BW4/HANA with SAP Analytics CloudLothar Henkes, VP Product Management
Ingo Hilgefort, Chief Product Expert, SAP Analytics Cloud
October 18, 2018

46PUBLIC© 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ PUBLIC
SAP BW/4HANA – Key Simplifications
Simplified models Simplified Data Flows Comprehensive access to all data
• Number of Modelling object types
reduced from 10 to 4
• Field or InfoObject based Modelling
• Support for external, structured and
unstructured data
• Reduced data layers
• Business and service level driven
• Report at any layer
with speed and flexibility
• Easier access to all information
• Work with HANA in BW mode, or in native
SQL mode, or both
• Load data using optimized
processing
Virtualization, Virtual Data Marts
Open ODS Layer/
Raw DWH
Propagation Layer/
Integrated DW
Source
mandatory
layer
optional layers
depending on
required
business and
service level
HANA Source
System
ODP Source System
Big Data Source
System
File Source System
SAP EIM
SAP BW/4HANA
SAP HANA
real-time
replication
direct
access
data
load
SAP Data Big Data FileNon-SAP Data
Text Email
Social Media Structured
RDBMS
/Hadoop
File
ODQ
Extractors SLT
ABAP
CDS
BW
Business
ByDesign
Hadoop
HIVE SPARK VORA
MultiProvider
1
1
1
CompositeProvider
3
Transient Provider
5
PSA Table
9
Hybrid Provider
8
InfoSet
2
2
2
Virtual Provider
4
DataStore Object
7
InfoCube
6
CompositeProvider
1
Open ODS View
2
3
InfoObject
4
Classic SAP BW
VirtualizationPersistency
SAP BW/4HANA
InfoObject10
advanced DataStore Object
Architectured
Data Marts
Staging Layer/
Corporate Memory
Service Level

Modern UI: faster to learn, easier to use
For BW/4HANA Modelers
Unified UI for end-to-end data modeling using the BW
modeling tools*
• New data transfer process editor
• New transformation editor
For BW/4HANA Administrators
Introducing SAP BW/4HANA cockpit - the single entry
point for administration and monitoring
• Delivered via Fiori Launchpad
• New applications for,
• Process chain modelling
• Process chain monitoring
• InfoObject and aDSO management
• Access from any device
* Requires BW modeling tools version 1.19+
New DTP Editor
SAP BW/4HANA Cockpit
New Transformation Editor

Openness: big data integration
Integration with SAP Data Hub
• Combine refined big data with enterprise
data and corporate master data
• Extract or federate data into
SAP BW/4HANA
• Start SAP Data Hub task workflows from
SAP BW/4HANA process chain
• Specific process type “data hub workflow”

New Storage Options
• Support for cold storage
in SAP HANA Vora (disk
engine)
• Support for cold storage
in the Hadoop File
System (HDFS)
• Support for multiple
extension nodes
Simplicity: simplifying data lifecycle management
SAP HANA Extension Nodes SAP IQ/ Hadoop/
SAP VORA
Automatic Displacement of Data
Hot Data Warm Data Cold Data
Allocate by aDSO or aDSO
partition
Allocate by aDSO or aDSO
partition
SAP IQ / Hadoop storage/
SAP VORA (disc engine)
Allocate by aDSO partition

SAP BW/4HANA: conversion, what is next?
Flexible Conversion Options
• In-place conversion
• Remote conversion
• Shell conversion
What is next
• SAP BW/4HANA 2.0
• Planned for February, 2019
• https://www.sap.com/documents/2017
/06/066ab828-c37c-0010-82c7-
eda71af511fa.html

Direct. Secure. Simple.
▪ Simply connect to BW Queries or generated HANA views in your on-premise BW systems
▪ No additional modeling in SAC needed (renaming and grouping of measures and dimensions is possible)
▪ No data replication into SAC
▪ Data remains behind your corporate firewall all the time when running queries and displaying results
▪ No authorization replication needed: BW authorizations are fully respected
Best possible end-to-end integration
▪ Use of unique best-in-class query interface to BW and HANA engines
▪ Ability to access BW and HANA features that cannot be accessed through standard query interfaces (SQL, MDX)
SAP Analytics Cloud integration with SAP BW and BW/4HANA
Unique direct connectivity

Variables
▪ All variable types supported
Hierarchies
▪ Support of universal display hierarchy (UDH)
▪ Support of time-dependent hierarchies / hierarchy
structures
▪ Use of hierarchies in table and charts
Query runtime integration
▪ Merge/unmerge variable prompts
▪ Parallel execution of BW queries (#of parallel
sessions configurable by admin)
Other BW specific capabilities
▪ Display queries with two structures
▪ Respect initial view from query definition
▪ Respect query settings such as sorting, dimension
presentation, result display, zero suppression as
default in initial query display
▪ Support of conditions defined in the BW query
(Top/bottom N, threshold, mixed)
SAP Analytics Cloud integration with SAP BW and BW/4HANA
Available BW query feature support

Spotlight: Live data connectivity to SAP BW and SAP BW/4HANA
Enhanced BW hierarchy handling
Time dependent hierarchies
▪ Easily visualize different data views of a
hierarchy, valid for a specific time period
– Entire hierarchy as time dependent
▪ Easily visualize data model relationships
that change time-dependently
– Hierarchy structure as time dependent

BW structures support
BW Structures
▪ Easily visualize line of business data from BW structure concepts
– Leverage BW queries with two structures
– Calculated value of cell definitions created with the cell editor in BEx query designer is supported

BW variants and personalization support
BW Variants
▪ Save time by using variants to specify the values
for several BW prompts simultaneously
– Use existing variants stored in SAP BW
– Private and public variants can be chosen
– Consumption only
Personalization
▪ User-specific personalized values assigned to
BW prompts are leveraged
– Consumption only

Enhanced BW variable support
New enhancements for BW variable support
▪ Support for exit/authorization variables defined as input ready
▪ New operators: ability to define range exclusions on dimension
members
▪ Value Help: ability to show booked values based on defined
setting in the BW query

Enhanced model management
Dimension and measure settings in model
▪ BI administrators can organize, and harmonize
business metadata without dependence on IT
– Dimension grouping
– Dimension rename
– Dimension hide / show
– Measure rename
– Measure scale and decimal configuration
▪ Facilitate business users need for easy downstream
development of BI content

Find Out More – Key Resources

Find out more – Key Resources
Find out more about SAP SMART Predict
▪ SAP Analytics Blog: The Future of Analytics is Smart
▪ Introduction to SMART Predict
▪ SAP Analytics Cloud
▪ SAP Predictive Analytics
Find out more about Hybrid Analytics
▪ SAP Analytics Blog: Building a Hybrid Strategy
▪ SAP Analytics Hub
▪ SAP Analytics Cloud
▪ Customer Story - Lincoln Sentry: Tackling Data Insight with a Hybrid BI Approach
Find out more about SAP BW/4HANA
▪ SAP BW/4HANA
Find out more about SAP Product Roadmaps

© 2018 SAP SE or an SAP affiliate company. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company.
The information contained herein may be changed without prior notice. Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors. National product specifications may vary.
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or
warranty of any kind, and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials.
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional
warranty.
In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation,
and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platforms, directions, and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or
functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, and they
should not be relied upon in making purchasing decisions.
SAP and 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. All other product and service names
mentioned are the trademarks of their respective companies.
See www.sap.com/copyright for additional trademark information and notices.
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