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May 7 – 9, 2019
SAP S/4HANA and SAP Analytics (Focus on SAP
Analytics Cloud): Where to Do What?
Jürgen Butsmann, Solution Management SAP S/4HANA, SAP SE
ASUG82186
About the Speakers
Jürgen Butsmann, SAP SE
• SAP SE, Solution
Management SAP S/4HANA
• 22 years with SAP,
Consulting, CoE, Solution
Management
• Would rather see all the
participants… ☺
Speaker Name
• [title, company]
• [short background]
• [fun fact]
Key Outcomes/Objectives
1. Understand value proposition, positioning and
use cases of the analytical solutions in the
context of SAP S/4HANA
2. Get an overview of architecture, tools and
integration points
3. Be able to discuss the solution properly and
make good decisions
Agenda
• The context: The intelligent ERP, the digital core SAP
S/4HANA and the analytical setup
• What is embedded analytics in SAP S/4HANA?
• Do you still need an additional visualization tool? An
EDW? Why SAP Analytics Cloud? Why SAP BW/4HANA?
• How do the solutions integrate?
• What to consider on your route to
Analytics with SAP S/4HANA?
• Summary
The context:
The intelligent ERP, the digital core SAP
S/4HANA and the analytical setup
in SAP S/4HANA?
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Be the experience company powered by the intelligent
enterprise
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Value summary: Lower your TCO with a unique transaction-to-insight process
SAP S/4HANA
Business data in
Transaction
SAP S/4HANA
Extractor or
CDS Views
SAP
BW/4HANA
DW application
and Business
Content
SAP Analytics
Cloud
Predefined
Stories
• Predefined data
extraction content
built to reflect the
SAP S/4HANA data
structure
• Optimized data load
with extensive delta
handling capabilities
to minimize data
transport
• Data Warehouse
application delivering
complex features as
pre-built functionality
• End-2-end data
warehouse model
built on SAP
S/4HANA structures
and meta data
• Predefined
SAP Analytics Cloud
stories for business
users
• No data
redundancies with
live access to
SAP BW/4HANA
“Where is the business data I
need for insight, and how is it
structured?”
“How can I easily combine data
from this and other sources to
depict my business?”
“What does my business look
like and what actions can I
take to improve it?”
What is embedded analytics
in SAP S/4HANA?
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What is SAP S/4HANA embedded analytics
Intelligent
Suite
SAP S/4HANA
SAP S/4HANA embedded analytics =
embedded
analytics
Analytics in the context of SAP ERP + SAP HANA + Intelligent Technologies
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Modern
Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Single source of truth
Automation
Machine Learning
Prediction & Simulation
Situation Handling, Intelligent Robotic
Process Automation,
Conversational UI, etc.
SAP S/4HANA Digital Core - the Guiding Principles - Value
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Modern
Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
• Combined screens with transactional and
analytical information
• Proper prioritization in transactional
process steps
• Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
• Real-time data availability
• Easy drill down
• Best possible performance
• Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
• Integration of Predictive and ML data inside
analytical data models
• Embedded decision support
• Allow process automation where needed
SAP S/4HANA Digital Core - Examples embedded
analytics
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Analytics with SAP S/4HANA – high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of SAP
S/4HANA, extensible by the customer
Odata services
Transient analytical
queries
SAP Analytics
access SAP S/4HANA data directly via
Transient analytical queries
SAP S/4HANA
SAP BW/4HANA
(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
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SAP Analytics
SAP S/4HANA embedded analytics – Overview of current Offering
per Type of User
End-User: Analyze the Data and act according to Insights
IT-User: Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User: Enable the End-User
CDS View
maintenance:
ABAP for Eclipse
KPI and Report
Modelling Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise:
Examples: Analysis for
Office, Design Studio
SAP Smart
Business KPIs
/ APF
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(e.g. Query Designer)
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Demo
SAP S/4HANA – GR/IR Monitor
SAP S/4HANA embedded analytics in practice
S
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S
https://www.youtube.com/watch?v=FjA0KKJecpg
Do you still need an additional
visualization tool? An EDW?
Why SAP Analytics Cloud? Why SAP
BW/4HANA?
in SAP S/4HANA?
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Additional functionality outside of SAP S/4HANA
Embedded functionality in SAP S/4HANA
What is possible and what is not, using SAP S/4HANA embedded analytics?
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroom
…
SAP S/4HANA
embedded
analytics
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"With SAP S/4HANA and SAP S/4HANA embedded analytics,
do I still need an additional visualization tool?“
"Yes!“
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Analytics in the context of SAP S/4HANA
The complete portfolio
Intelligent
Suite
SAP S/4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence, everything you need
Contextual -
Insight to action where you work
Confident -
Faster, more confident decisions with
delivered AI-driven insights
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SAP Analytics Cloud – Make Intelligent Decisions
All in one platform built for SaaS​
• Get everything you need from data
to decisions​
• Analyze, plan, and predict all in one
place​
• Scale to meet the needs of diverse
users and all types of decisions
(strategic, operational, and tactical)
Planning, analysis, and execution in one UX
• Plan, analyze, and collaborate in one
UX/system for instant insight to action​
• Increase engagement, accountability, and
accuracy with collaboration embedded in
context
• Access to on-prem data & apps without
having to replicate in the cloud
Augmented analytics for business users
• Augment manual insights with embedded
intelligence that explains results​
• Ask questions in natural language to get the
answers you seek
• Detect causes and take the next best action
using automated ML​
• Predict potential outcomes with the push of a
button
Complete - from data to
intelligence
Contextual insight to
action
Confident decisions with
delivered AI-driven insights
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SAP Analytics Cloud + SAP S/4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views,
Business Content (models,
stories, dashboards), Fiori tile
integration, Jump-to-transaction
BI, Predictive & Planning based
on SAP S/4HANA business logic
in Real-Time – data changes
and modifications reflected
instantly
Leverage existing SAP S/4HANA
Security & Authorizations
Plug & Play without any back-
end modifications
Enrich SAP S/4HANA data
by adding your own
calculations (formulas,
exception aggregations) and
delegate processing to
SAP S/4HANA
Use the Analytics Hub to bring all your
information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place, supporting
steering excellence of your
Intelligent Enterprise
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"With SAP S/4HANA and SAP S/4HANA embedded analytics,
do I still need my BW?“
"Yes!“
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SAP BW/4HANA complements SAP S/4HANA
SAP S/4HANA is not an EDW
▪ SAP S/4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized, tuned, and maintained for
optimal performance as transactional system
▪ A modern simplified architecture, the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
▪ SAP S/4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW/4HANA is an EDW
▪ Allows harmonization of all enterprise data (ERP + non-SAP, governance, corporate memory, big data, …)
▪ Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
▪ Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub, SAP HANA SQL DW, ...)
Why is SAP BW/4HANA the perfect EDW for SAP S/4HANA?
▪ Extends seamlessly the business case of SAP S/4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
▪ Availability of specific business content for SAP S/4HANA
▪ Allows best integration capabilities based on common architecture and terminology (e.g. analytical engine, currencies,
user maintenance, ABAP, transports, governance, …)
SAP
S/4HANA
SAP BW/4HANA
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Analytics in the context of SAP S/4HANA
The complete portfolio
Intelligent
Suite
SAP S/4HANA
SAP BW/4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence, everything you need
Contextual -
Insight to action where you work
Confident -
Faster, more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 2.0
SAP Data Hub
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Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities, like virtual data
access, real-time replication, or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub, including
SAP Vora, as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW/4HANA
Impactful reduction of modeling and
source objects; choice of field- or
InfoObject-based modeling, no
data replication between layers needed
Data tiering for allocating best storage
for hot, warm, cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC, AWS, Azure, and GCP
Unique native data access for real-time
analytics without replication into the
cloud; one platform for enterprise
planning & consolidation, Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW/4HANA - the Guiding Principles
CPI BW/4 Write
Interface
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SAP BW/4HANA Business Content: Overview as of SP07
• Supports SAP S/4HANA and
SAP ECC systems
• Uses new SAP BW/4HANA
features
• Follows the LSA++ architecture
• Delivered content offers more
flexibility in data acquisition and
reporting
• Provides higher level of detail
(line items, …)
• Quarterly delivery pace
Quality
Management
Master Data
Business Area
Industries: Utilities
Sales &
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl.
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl.
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling
Master Data
Sales
Statistics
Energy Data
Management
Real Estate
How do the solutions integrate?
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Analytics with SAP S/4HANA – high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of SAP
S/4HANA, extensible by the customer
Odata services
Transient analytical
queries
SAP Analytics
access SAP S/4HANA data directly via
Transient analytical queries
SAP S/4HANA
SAP BW/4HANA
(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
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SAP Analytics Cloud Live Data Access – High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of
SAP S/4HANA, extensible by the customer
Odata services
Transient analytical
queries
SAP Analytics Cloud
can access SAP S/4HANA data directly via the
available Transient analytical queries
SAP S/4HANA
Reverse Proxy /
CORS
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SAP Analytics Cloud Data Import – High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of
SAP S/4HANA, extensible by the customer
Odata services
Transient analytical
queries
SAP Analytics Cloud
can access SAP S/4HANA data directly via the
available Transient analytical queries
SAP S/4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
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▪ Open SAP Analytics Cloud Stories from Fiori
Launchpad
▪ Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
▪ Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
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Demo
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SAP Analytics Cloud is embedded in SAP S/4HANA!*
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Analytics with SAP S/4HANA – high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models
(for analytical and transactional purposes)
SAP Fiori UI
analytical apps, reports, KPIs,… delivered as part of SAP
S/4HANA, extensible by the customer
Odata services
Transient analytical
queries
SAP Analytics
access SAP S/4HANA data directly via
Transient analytical queries
SAP S/4HANA
SAP BW/4HANA
(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
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SAP BW/4HANA and SAP S/4HANA
Leveraging SAP BW/4HANA you can natively integrate the embedded
analytics models and data in SAP S/4HANA with those of an EDW, e.g. to
compare real-time actuals with historical snapshots, planning results (from
BPC), or external data.
Please refer to the respective integration blog and How-to-Guide on
www.sap.com for further details.
Examples for best-in-class integration are:
▪ Out-of-the-box connectivity
▪ Visualize SAP S/4HANA data in SAP BW/4HANA without data structure creation in SAP
BW/4HANA
▪ Standard Extractors (ABAP CDS and ABAP via S-API), as well as open extensibility
▪ Fast time-to-value Data Mashups using SAP BW/4HANA-native objects
(composite providers etc.)
▪ Strong data historization capabilities (e.g. easy tracking of slowly
changing dimensions)
▪ Best integrated planning use cases based on all necessary existing and
harmonized data
Transact. Tables
SAP
S/4HANA
SAP
HANA
SAP
BW/4HANA
BW/
OLAP
SAP DWH
Data
SAP S/4HANA
embedded
analytics
SAP Fiori SAP Analytics
Embedded BW:
• SAP does not recommend using Embedded BW for data
warehouse (EDW) use cases!
• For details, see SAP Community blog and SAP note
1661202, (e.g. Upgrades and patches, Resource
allocation and capacity planning, Workload Management,
Backup & Recovery, Lifecycle management, High
Availability & Disaster Recovery, Security etc.)
• Best practice: The amount of data persisted in the
Embedded BW should not exceed 20% of the overall data
volume of the system.
• Embedded BW is not an SAP BW/4HANA
• More information here.
SAP
HANA
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CDS-based Extraction to SAP Business Warehouse
• For limitations on S-API DataSources (Extractors) in S/4HANA see SAP Note 2500202
• How to use ABAP CDS for Data Provisioning in BW
• For release of extractors for ODP see SAP Note 2232584 ‘Release SAP Extractors for Operational Data Provisioning’ (> 95% are released)
SAP S/4HANA
SAP BW/4HANA
SAP BW
on-premise
S-API DataSources
ABAP CDS Views
SAP S/4HANA
SAP BW/4HANA
SAP BW
Cloud
ABAP CDS Views*
*planned for Release 1905
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CDS-based Data Federation with SAP Business Warehouse
Direct access to SQL views (generated by ABAP CDS) not recommended! See note 2511210 for further details.
SAP S/4HANA
SAP BW/4HANA
SAP BW
on-premise
ABAP CDS Views
SAP S/4HANA
SAP BW/4HANA
SAP BW
Cloud
ABAP CDS Views*
*planned for Release 1905
What to consider on your route to
Analytics with SAP S/4HANA?
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Check/test existing and used BW
setup and extractors
What is still working (functional fit
and/or SAP supported content)*?
Which frontends have been
created using the BEx?
Do housekeeping! What is still
necessary?
Establish the status quo of
BI/Analytics
Have data sources changed?
Does Big Data play a role?
Do housekeeping! What is still
necessary?
Separate analytical requirements
(along the business processes)
between the operational system,
the BI/Analytics layer and the
EDW.
Explore how a target architecture
would look like ideally using SAP
S/4HANA, SAP BW/4HANA, and
SAP Analytics BI/PA/Planning.
For pure operational analytical
requirements:
Check existing content,
applications and capabilities in
SAP S/4HANA embedded
analytics. See what you can do
out-of-the-box.
For all analytical requirements,
check Business Content in SAP
Analytics and SAP BW/4HANA.
Plan detailed steps to implement
all remaining analytical
requirements (e.g. by extending
SAP S/4HANA, or by exceptional
usage of SAP Analytics Cloud
and SAP BW/4HANA for
operational reporting) - your
choices need to be based on
project realities (e.g. individual
preferences, strategy, efforts,
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S/4HANA with BW/4HANA
*Prerequisite: SAP BW/4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where?
Check SAP
S/4HANA
Rebuild
and
Extend
Check
Status quo
BI/Analytics
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SAP S/4HANA embedded analytics
• Operational data
• Real-time data access
• Transactional decision support
• KPI-driven process handling
SAP BW/4HANA – Core EDW
functions
• Data replication (for Snapshots,
Performance enhancements)
• Enterprise-wide data
harmonization
• Data governance
• Data federation/mashing (EDW)
• LSA modeling
• SAP and non-SAP data
• Planning
• Archiving (for delta comparison)
Now: what to do where?
Exceptions (related to visualization preferences, cost, time, …)
SAP Analytics Cloud
• Best visualization
• Focus on cloud-based source
systems (e.g. SAP S/4HANA
Cloud, MTE)
• Data federation/mashing
(without EDW harmonization)
• SAP and non-SAP data
• Planning
• Self Service BI
Summary
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Demo (Full Integration)
https://www.youtube.co
m/watch?v=nuc29Zy4U
6Y&feature=youtu.be
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Analytics in the context of SAP S/4HANA
The complete portfolio
Intelligent
Suite
SAP S/4HANA
SAP BW/4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 2.0
SAP Data Hub
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Model Linking through Dimensions - SAP Data Warehouse Cloud
▪ Identify opportunities faster with pre-built
templates and machine learning
▪ Keeps business users and IT in sync,
avoiding data silo’s and unexpected costs
▪ In-memory data management, including
data privacy and anonymization
https://www.sap.com/products/data-warehouse-cloud.html
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Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise!
▪ Allows cross system view on all data
Examples
▪ Total Spend Management
Bring together spends data from
Ariba, Fieldglass and Concur
▪ Campaign Effectiveness –
Campaigns from Marketing
Cloud and Opportunities from
SAP C/4HANA (Sales Cloud)
SAP Analytics Cloud
Customer
Experience
Manufacturing
& Supply Chain
Digital Core People
Engagement
Network & Spend
Management
Big data
Non-SAP Systems
Intelligent
Suite
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Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise!
Data Warehouse Layer
EDW
Semantic BI Data Layer
BI Visualization Layer
▪ Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
▪ Semantic BI Data Layer for agile,
self-service mashups and blending
▪ Allows cross system view on all data
More examples
▪ Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S/4HANA
▪ Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics Cloud
SAP Analytics Cloud/
SAP HANA Cloud Services
SAP Data Warehouse Cloud
Customer
Experience
Manufacturing
& Supply Chain
Digital Core People
Engagement
Network & Spend
Management
Big data
Non-SAP Systems
Intelligent
Suite
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Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise!
Data Warehouse Layer
EDW
Semantic BI Data Layer
BI Visualization Layer
▪ Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
▪ Semantic BI Data Layer for agile,
self-service mashups and blending
▪ Allows cross system view on all data
X O
SAP Analytics Cloud
SAP Analytics Cloud/
SAP HANA Cloud Services
SAP Data Warehouse Cloud
Customer
Experience
Manufacturing
& Supply Chain
Digital Core People
Engagement
Network & Spend
Management
Big data
Non-SAP Systems
Intelligent
Suite
SAP Data Hub
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SAP Data Warehousing
Statement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands:
▪ Cloud-, on-premises and hybrid deployments
▪ Logical Data Warehouse for dynamically changing system
landscapes
▪ Integration of any data types and Big Data technologies
▪ Scale out to high volumes and data lakes
▪ Industry data models for rapid implementation
HYBRID CLOUD
ON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW/4HANA
SAP SQL
Data Warehousing
SAP HANA
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SAP S/4HANA
Blogs
What is SAP S/4HANA embedded analytics? How does it add value?
http://bit.ly/2cPkeqF
How do I get started with embedded analytics?
http://scn.sap.com/community/s4hana/blog/2016/05/27/getting-started-
with-s4-hana-embedded-analytics
How does the SAP S/4HANA embedded analytics architecture look
like? http://scn.sap.com/community/s4hana/blog/2016/09/27/journey-
of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-
analytics-architecture
SAP S/4HANA Extensibility
https://blogs.sap.com/2017/03/01/scn-s4hana-extensibility-scenario-
diagrams/
Embedding Predictive Analytics into SAP S/4HANA Cloud
https://blogs.sap.com/2017/05/16/embedding-predictive-analytics-into-
sap-s4hana/
SAP S/4HANA and SAP BW/4HANA positioning
https://blogs.sap.com/2017/08/15/sap-s4hana-and-sap-bw4hana-what-
to-do-where/
openSAP
Extending SAP S/4HANA Cloud and SAP S/4HANA
Youtube
SAP S/4HANA Cloud
Analysis Path Framework
Fiori Apps Library
https://fioriappslibrary.hana.ondemand.com/sap/fix/externalViewer/
Documentation
SAP S/4HANA
SAP S/4HANA Cloud
Purchase the print or e-book at sap-press.com/4690
➢ Configure SAP S/4HANA embedded analytics for your landscape
➢ Use embedded analytics for operational reporting and process
analytics
➢ Integrate with other SAP tools for data warehousing, business
intelligence, and predictive analytics
Customize and use SAP S/4HANA embedded
analytics!
SAP S/4HANA Embedded Analytics: The Comprehensive Guide
Written by: Jürgen Butsmann, Thomas Fleckenstein, Anirban Kundu
430 pages | 09/2018 | E-book: $69.99 | Print: $79.95 | Bundle: $89.99
57
PUBLIC
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Seit 26.4.2019
https://www.rheinwerk-verlag.de/sap-s4hana-embedded-analytics_4853/
https://www.amazon.de/SAP-4HANA-Embedded-Analytics-
Operatives/dp/3836268965/ref=sr_1_2?__mk_de_DE=%C3%85M%C3%85
%C5%BD%C3%95%C3%91&keywords=butsmann&qid=1556311051&s=gat
eway&sr=8-2
58
PUBLIC
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP BW/4HANA
Community / Product Page
https://sap.com/bw4hana10
Home Page
https://sap.com/bw4hana
Documentation
https://help.sap.com/bw4hana20
Product Roadmap
https://sap.com/roadmaps
Get Started
Free Learning @ openSAP, Free Trial
Get Help
FAQ, Q&A, Community Wiki, Support, Availability
Read & Learn More
SAP Blogs, Community Blogs, Learning Journey
Transition from SAP BW
Blog, SAP Activate Roadmap, SAP Readiness Check
Related Solutions
SAP HANA, SAP Data Hub, SAP Analytics Cloud
Share & Follow
#BW4HANA,
#TheFutureofDW
Watch
Demos & Tutorials,
YouTube Channel,
SAP HANA Academy
Training & Certification
https://training.sap.com/
59
PUBLIC
© 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Analytics Cloud
https://www.sapanalytics.cloud/
Contact information:
Jürgen Butsmann
Solution Management SAP S/4HANA
SAP SE
Juergen.Butsmann@sap.com
Thank you!
Access the slides from 2019 ASUG Annual Conference here:
http://info.asug.com/2019-ac-slides
Presentation Materials
Q&A
For questions after this session, contact us at Juergen.Butsmann@sap.com.
Let’s Be Social.
Stay connected. Share your SAP experiences anytime, anywhere.
Join the ASUG conversation on social media: @ASUG365 #ASUG

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saps4hanaandsapanalyticswheretodowhat1565272000538.pdf

  • 1. May 7 – 9, 2019 SAP S/4HANA and SAP Analytics (Focus on SAP Analytics Cloud): Where to Do What? Jürgen Butsmann, Solution Management SAP S/4HANA, SAP SE ASUG82186
  • 2. About the Speakers Jürgen Butsmann, SAP SE • SAP SE, Solution Management SAP S/4HANA • 22 years with SAP, Consulting, CoE, Solution Management • Would rather see all the participants… ☺ Speaker Name • [title, company] • [short background] • [fun fact]
  • 3. Key Outcomes/Objectives 1. Understand value proposition, positioning and use cases of the analytical solutions in the context of SAP S/4HANA 2. Get an overview of architecture, tools and integration points 3. Be able to discuss the solution properly and make good decisions
  • 4. Agenda • The context: The intelligent ERP, the digital core SAP S/4HANA and the analytical setup • What is embedded analytics in SAP S/4HANA? • Do you still need an additional visualization tool? An EDW? Why SAP Analytics Cloud? Why SAP BW/4HANA? • How do the solutions integrate? • What to consider on your route to Analytics with SAP S/4HANA? • Summary
  • 5. The context: The intelligent ERP, the digital core SAP S/4HANA and the analytical setup in SAP S/4HANA?
  • 6. 6 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ 3 © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Be the experience company powered by the intelligent enterprise
  • 7. 7 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Value summary: Lower your TCO with a unique transaction-to-insight process SAP S/4HANA Business data in Transaction SAP S/4HANA Extractor or CDS Views SAP BW/4HANA DW application and Business Content SAP Analytics Cloud Predefined Stories • Predefined data extraction content built to reflect the SAP S/4HANA data structure • Optimized data load with extensive delta handling capabilities to minimize data transport • Data Warehouse application delivering complex features as pre-built functionality • End-2-end data warehouse model built on SAP S/4HANA structures and meta data • Predefined SAP Analytics Cloud stories for business users • No data redundancies with live access to SAP BW/4HANA “Where is the business data I need for insight, and how is it structured?” “How can I easily combine data from this and other sources to depict my business?” “What does my business look like and what actions can I take to improve it?”
  • 8. What is embedded analytics in SAP S/4HANA?
  • 9. 9 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ What is SAP S/4HANA embedded analytics Intelligent Suite SAP S/4HANA SAP S/4HANA embedded analytics = embedded analytics Analytics in the context of SAP ERP + SAP HANA + Intelligent Technologies
  • 10. 10 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern Architecture for Instant Insight Intuitive User Experience Intelligent ERP Next Generation Business Processes Role-Based Any device Embedded Analytics Cockpits with exception based worklists Simple data structures Speed on primary data Single source of truth Automation Machine Learning Prediction & Simulation Situation Handling, Intelligent Robotic Process Automation, Conversational UI, etc. SAP S/4HANA Digital Core - the Guiding Principles - Value
  • 11. 11 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Modern Architecture for Instant Insight Intuitive User Experience Intelligent ERP Next Generation Business Processes Enablement of fact-driven process handling • Combined screens with transactional and analytical information • Proper prioritization in transactional process steps • Decision support where it is needed (inside the transactional screen) Easy modeling on simple data models • Real-time data availability • Easy drill down • Best possible performance • Custom data model extensions (in SAP Fiori) Integrate intelligent technologies in processes • Integration of Predictive and ML data inside analytical data models • Embedded decision support • Allow process automation where needed SAP S/4HANA Digital Core - Examples embedded analytics
  • 12. 12 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics with SAP S/4HANA – high level architecture Persistency Modelling Visualization Access Database tables on SAP HANA ABAP-CDS-Models (for analytical and transactional purposes) SAP Fiori UI analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by the customer Odata services Transient analytical queries SAP Analytics access SAP S/4HANA data directly via Transient analytical queries SAP S/4HANA SAP BW/4HANA (for seamlessly extending transactions with data warehousing workflows) Database tables on SAP HANA Intelligent Technologies
  • 13. 13 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics SAP S/4HANA embedded analytics – Overview of current Offering per Type of User End-User: Analyze the Data and act according to Insights IT-User: Provide the single source of truth in one semantic layer Multi- dimensional reports Key-User: Enable the End-User CDS View maintenance: ABAP for Eclipse KPI and Report Modelling Apps SAP Analytics Cloud SAP BusinessObjects Enterprise: Examples: Analysis for Office, Design Studio SAP Smart Business KPIs / APF Query Browser Analytical List Pages Overview Pages Analytical Fiori Apps CDS Key User Tooling (e.g. Query Designer)
  • 14. 16 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Demo SAP S/4HANA – GR/IR Monitor SAP S/4HANA embedded analytics in practice S
  • 15. 17 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ S https://www.youtube.com/watch?v=FjA0KKJecpg
  • 16. Do you still need an additional visualization tool? An EDW? Why SAP Analytics Cloud? Why SAP BW/4HANA? in SAP S/4HANA?
  • 17. 20 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Additional functionality outside of SAP S/4HANA Embedded functionality in SAP S/4HANA What is possible and what is not, using SAP S/4HANA embedded analytics? Planning Engine Predictive Engine Pixel-true Visualization Advanced Dashboarding Data Warehousing Excel in-app Integration Self-service BI Digital Boardroom … SAP S/4HANA embedded analytics
  • 18. 21 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ "With SAP S/4HANA and SAP S/4HANA embedded analytics, do I still need an additional visualization tool?“ "Yes!“
  • 19. 22 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics in the context of SAP S/4HANA The complete portfolio Intelligent Suite SAP S/4HANA SAP Analytics Modern Architecture for Instant Insight Intuitive User Experience Intelligent ERP Next Generation Business Processes Complete - From data to intelligence, everything you need Contextual - Insight to action where you work Confident - Faster, more confident decisions with delivered AI-driven insights
  • 20. 24 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud – Make Intelligent Decisions All in one platform built for SaaS​ • Get everything you need from data to decisions​ • Analyze, plan, and predict all in one place​ • Scale to meet the needs of diverse users and all types of decisions (strategic, operational, and tactical) Planning, analysis, and execution in one UX • Plan, analyze, and collaborate in one UX/system for instant insight to action​ • Increase engagement, accountability, and accuracy with collaboration embedded in context • Access to on-prem data & apps without having to replicate in the cloud Augmented analytics for business users • Augment manual insights with embedded intelligence that explains results​ • Ask questions in natural language to get the answers you seek • Detect causes and take the next best action using automated ML​ • Predict potential outcomes with the push of a button Complete - from data to intelligence Contextual insight to action Confident decisions with delivered AI-driven insights
  • 21. 25 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud + SAP S/4HANA = High-performing Analytics Unique deep integration with Live Connection to CDS Views, Business Content (models, stories, dashboards), Fiori tile integration, Jump-to-transaction BI, Predictive & Planning based on SAP S/4HANA business logic in Real-Time – data changes and modifications reflected instantly Leverage existing SAP S/4HANA Security & Authorizations Plug & Play without any back- end modifications Enrich SAP S/4HANA data by adding your own calculations (formulas, exception aggregations) and delegate processing to SAP S/4HANA Use the Analytics Hub to bring all your information together and accelerate adoption of analytics in your business user community Explore SAP Digital Boardroom for a real-time view of your critical business metrics in one place, supporting steering excellence of your Intelligent Enterprise
  • 22. 26 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ "With SAP S/4HANA and SAP S/4HANA embedded analytics, do I still need my BW?“ "Yes!“
  • 23. 27 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA complements SAP S/4HANA SAP S/4HANA is not an EDW ▪ SAP S/4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized, tuned, and maintained for optimal performance as transactional system ▪ A modern simplified architecture, the new user experience (SAP Fiori) and integrated intelligent technologies such as Machine Learning allow for new business processes and even automation ▪ SAP S/4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside of transactions - embedded BW only for support of transactional workflows SAP BW/4HANA is an EDW ▪ Allows harmonization of all enterprise data (ERP + non-SAP, governance, corporate memory, big data, …) ▪ Delivers complete data warehouse tools (rich integrated toolset for data warehousing) ▪ Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub, SAP HANA SQL DW, ...) Why is SAP BW/4HANA the perfect EDW for SAP S/4HANA? ▪ Extends seamlessly the business case of SAP S/4HANA including the integration with SAP Data Hub for Big Data and Internet of Things (IoT) use cases ▪ Availability of specific business content for SAP S/4HANA ▪ Allows best integration capabilities based on common architecture and terminology (e.g. analytical engine, currencies, user maintenance, ABAP, transports, governance, …) SAP S/4HANA SAP BW/4HANA
  • 24. 28 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics in the context of SAP S/4HANA The complete portfolio Intelligent Suite SAP S/4HANA SAP BW/4HANA SAP Analytics Modern Architecture for Instant Insight Intuitive User Experience Intelligent ERP Next Generation Business Processes Simplify the provisioning of timely business insights Capitalize on the full value of all your data Innovate with one trusted source for all insights Complete - From data to intelligence, everything you need Contextual - Insight to action where you work Confident - Faster, more confident decisions with delivered AI-driven insights Big data SAP SQL Data Warehousing with SAP HANA 2.0 SAP Data Hub
  • 25. 30 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Simplify the provisioning of timely business insights Capitalize on the full value of all your data Innovate with one trusted source for all insights Leverages SAP HANA EIM to provide new data provisioning opportunities, like virtual data access, real-time replication, or optimized data load Dedicated big data connector to leverage Big Data landscapes for data onboarding and ingestion for various types of data and files Deep integration with SAP Data Hub, including SAP Vora, as orchestration and refinery application to address end to end processes with SAP HANA and SAP BW/4HANA Impactful reduction of modeling and source objects; choice of field- or InfoObject-based modeling, no data replication between layers needed Data tiering for allocating best storage for hot, warm, cold data by partition Data processing pushed to SAP HANA from the application server Deploy on HEC, AWS, Azure, and GCP Unique native data access for real-time analytics without replication into the cloud; one platform for enterprise planning & consolidation, Predictive Analytics Extend managed DW and native SQL approach for the full power of HANA with mixed scenario and analytical apps Establish the corporate memory for the Intelligent Enterprise by leveraging the Cloud Platform Integration API framework SAP BW/4HANA - the Guiding Principles CPI BW/4 Write Interface
  • 26. 31 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Business Content: Overview as of SP07 • Supports SAP S/4HANA and SAP ECC systems • Uses new SAP BW/4HANA features • Follows the LSA++ architecture • Delivered content offers more flexibility in data acquisition and reporting • Provides higher level of detail (line items, …) • Quarterly delivery pace Quality Management Master Data Business Area Industries: Utilities Sales & Distribution Sales Overview Conditions Delivery Service Supply Chain Management Procurement Invoice Verification Inventory Production Planning and Controlling Extended Warehouse Management Master Data Governance Finance Accounts Receivable Accounts Payable Fixed Asset Accounting General Ledger incl. Financial Statement Controlling Cost Center Accounting Overhead Cost Orders Enterprise Controlling Contract Accounts Asset Management Quality Management Overhead Projects incl. Networks Plant Maintenance Customer Service Product Cost Controlling Master Data Sales Statistics Energy Data Management Real Estate
  • 27. How do the solutions integrate?
  • 28. 33 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics with SAP S/4HANA – high level architecture Persistency Modelling Visualization Access Database tables on SAP HANA ABAP-CDS-Models (for analytical and transactional purposes) SAP Fiori UI analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by the customer Odata services Transient analytical queries SAP Analytics access SAP S/4HANA data directly via Transient analytical queries SAP S/4HANA SAP BW/4HANA (for seamlessly extending transactions with data warehousing workflows) Database tables on SAP HANA Intelligent Technologies
  • 29. 34 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud Live Data Access – High Level Architecture Persistency Modelling Visualization Access Database tables on SAP HANA ABAP-CDS-Models (for analytical and transactional purposes) SAP Fiori UI analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by the customer Odata services Transient analytical queries SAP Analytics Cloud can access SAP S/4HANA data directly via the available Transient analytical queries SAP S/4HANA Reverse Proxy / CORS
  • 30. 35 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud Data Import – High Level Architecture Persistency Modelling Visualization Access Database tables on SAP HANA ABAP-CDS-Models (for analytical and transactional purposes) SAP Fiori UI analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by the customer Odata services Transient analytical queries SAP Analytics Cloud can access SAP S/4HANA data directly via the available Transient analytical queries SAP S/4HANA SAP Analytics Cloud Agent SAP HANA Cloud Connector
  • 31. 36 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ ▪ Open SAP Analytics Cloud Stories from Fiori Launchpad ▪ Easily create custom Fiori tiles to launch a Story using OAUTH-enabled Story Catalog Service ▪ Integrate available pre-defined SAP Analytics Cloud Best Practices content with configured Fiori tiles Integration with SAP Fiori Launchpad
  • 32. 37 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Demo
  • 33. 38 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud is embedded in SAP S/4HANA!*
  • 34. 39 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics with SAP S/4HANA – high level architecture Persistency Modelling Visualization Access Database tables on SAP HANA ABAP-CDS-Models (for analytical and transactional purposes) SAP Fiori UI analytical apps, reports, KPIs,… delivered as part of SAP S/4HANA, extensible by the customer Odata services Transient analytical queries SAP Analytics access SAP S/4HANA data directly via Transient analytical queries SAP S/4HANA SAP BW/4HANA (for seamlessly extending transactions with data warehousing workflows) Database tables on SAP HANA Intelligent Technologies
  • 35. 40 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA and SAP S/4HANA Leveraging SAP BW/4HANA you can natively integrate the embedded analytics models and data in SAP S/4HANA with those of an EDW, e.g. to compare real-time actuals with historical snapshots, planning results (from BPC), or external data. Please refer to the respective integration blog and How-to-Guide on www.sap.com for further details. Examples for best-in-class integration are: ▪ Out-of-the-box connectivity ▪ Visualize SAP S/4HANA data in SAP BW/4HANA without data structure creation in SAP BW/4HANA ▪ Standard Extractors (ABAP CDS and ABAP via S-API), as well as open extensibility ▪ Fast time-to-value Data Mashups using SAP BW/4HANA-native objects (composite providers etc.) ▪ Strong data historization capabilities (e.g. easy tracking of slowly changing dimensions) ▪ Best integrated planning use cases based on all necessary existing and harmonized data Transact. Tables SAP S/4HANA SAP HANA SAP BW/4HANA BW/ OLAP SAP DWH Data SAP S/4HANA embedded analytics SAP Fiori SAP Analytics Embedded BW: • SAP does not recommend using Embedded BW for data warehouse (EDW) use cases! • For details, see SAP Community blog and SAP note 1661202, (e.g. Upgrades and patches, Resource allocation and capacity planning, Workload Management, Backup & Recovery, Lifecycle management, High Availability & Disaster Recovery, Security etc.) • Best practice: The amount of data persisted in the Embedded BW should not exceed 20% of the overall data volume of the system. • Embedded BW is not an SAP BW/4HANA • More information here. SAP HANA
  • 36. 41 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ CDS-based Extraction to SAP Business Warehouse • For limitations on S-API DataSources (Extractors) in S/4HANA see SAP Note 2500202 • How to use ABAP CDS for Data Provisioning in BW • For release of extractors for ODP see SAP Note 2232584 ‘Release SAP Extractors for Operational Data Provisioning’ (> 95% are released) SAP S/4HANA SAP BW/4HANA SAP BW on-premise S-API DataSources ABAP CDS Views SAP S/4HANA SAP BW/4HANA SAP BW Cloud ABAP CDS Views* *planned for Release 1905
  • 37. 42 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ CDS-based Data Federation with SAP Business Warehouse Direct access to SQL views (generated by ABAP CDS) not recommended! See note 2511210 for further details. SAP S/4HANA SAP BW/4HANA SAP BW on-premise ABAP CDS Views SAP S/4HANA SAP BW/4HANA SAP BW Cloud ABAP CDS Views* *planned for Release 1905
  • 38. What to consider on your route to Analytics with SAP S/4HANA?
  • 39. 44 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Check/test existing and used BW setup and extractors What is still working (functional fit and/or SAP supported content)*? Which frontends have been created using the BEx? Do housekeeping! What is still necessary? Establish the status quo of BI/Analytics Have data sources changed? Does Big Data play a role? Do housekeeping! What is still necessary? Separate analytical requirements (along the business processes) between the operational system, the BI/Analytics layer and the EDW. Explore how a target architecture would look like ideally using SAP S/4HANA, SAP BW/4HANA, and SAP Analytics BI/PA/Planning. For pure operational analytical requirements: Check existing content, applications and capabilities in SAP S/4HANA embedded analytics. See what you can do out-of-the-box. For all analytical requirements, check Business Content in SAP Analytics and SAP BW/4HANA. Plan detailed steps to implement all remaining analytical requirements (e.g. by extending SAP S/4HANA, or by exceptional usage of SAP Analytics Cloud and SAP BW/4HANA for operational reporting) - your choices need to be based on project realities (e.g. individual preferences, strategy, efforts, available functionality) Planning the migration from SAP ECC with SAP BW to SAP S/4HANA with BW/4HANA *Prerequisite: SAP BW/4HANA Sandbox existing Check SAP BW Status Quo What to do where? Check SAP S/4HANA Rebuild and Extend Check Status quo BI/Analytics
  • 40. 46 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP S/4HANA embedded analytics • Operational data • Real-time data access • Transactional decision support • KPI-driven process handling SAP BW/4HANA – Core EDW functions • Data replication (for Snapshots, Performance enhancements) • Enterprise-wide data harmonization • Data governance • Data federation/mashing (EDW) • LSA modeling • SAP and non-SAP data • Planning • Archiving (for delta comparison) Now: what to do where? Exceptions (related to visualization preferences, cost, time, …) SAP Analytics Cloud • Best visualization • Focus on cloud-based source systems (e.g. SAP S/4HANA Cloud, MTE) • Data federation/mashing (without EDW harmonization) • SAP and non-SAP data • Planning • Self Service BI
  • 42. 48 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Demo (Full Integration) https://www.youtube.co m/watch?v=nuc29Zy4U 6Y&feature=youtu.be
  • 43. 49 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Analytics in the context of SAP S/4HANA The complete portfolio Intelligent Suite SAP S/4HANA SAP BW/4HANA SAP Analytics Big data SAP SQL Data Warehousing with SAP HANA 2.0 SAP Data Hub
  • 44. 50 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Model Linking through Dimensions - SAP Data Warehouse Cloud ▪ Identify opportunities faster with pre-built templates and machine learning ▪ Keeps business users and IT in sync, avoiding data silo’s and unexpected costs ▪ In-memory data management, including data privacy and anonymization https://www.sap.com/products/data-warehouse-cloud.html
  • 45. 51 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise! ▪ Allows cross system view on all data Examples ▪ Total Spend Management Bring together spends data from Ariba, Fieldglass and Concur ▪ Campaign Effectiveness – Campaigns from Marketing Cloud and Opportunities from SAP C/4HANA (Sales Cloud) SAP Analytics Cloud Customer Experience Manufacturing & Supply Chain Digital Core People Engagement Network & Spend Management Big data Non-SAP Systems Intelligent Suite
  • 46. 52 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise! Data Warehouse Layer EDW Semantic BI Data Layer BI Visualization Layer ▪ Data Warehouse Layer for Enterprise-wide data harmonization to establish the Corporate Memory ▪ Semantic BI Data Layer for agile, self-service mashups and blending ▪ Allows cross system view on all data More examples ▪ Profitability per Employee - Compute Profitability with Headcount from SucessFactors and Financial KPIs from SAP S/4HANA ▪ Effect of Marketing Spends on Net Promoter Score - Analyse how spends on Spotlight Accounts from Marketing Cloud impact Net Promoter Score on your brand with surveys from Qualtrics SAP Analytics Cloud SAP Analytics Cloud/ SAP HANA Cloud Services SAP Data Warehouse Cloud Customer Experience Manufacturing & Supply Chain Digital Core People Engagement Network & Spend Management Big data Non-SAP Systems Intelligent Suite
  • 47. 53 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ Why SAP Analytics Cloud? It opens up ALL data of the Intelligent Enterprise! Data Warehouse Layer EDW Semantic BI Data Layer BI Visualization Layer ▪ Data Warehouse Layer for Enterprise-wide data harmonization to establish the Corporate Memory ▪ Semantic BI Data Layer for agile, self-service mashups and blending ▪ Allows cross system view on all data X O SAP Analytics Cloud SAP Analytics Cloud/ SAP HANA Cloud Services SAP Data Warehouse Cloud Customer Experience Manufacturing & Supply Chain Digital Core People Engagement Network & Spend Management Big data Non-SAP Systems Intelligent Suite SAP Data Hub
  • 48. 54 PUBLIC © 2018 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Data Warehousing Statement of direction Establish SAP Data Warehousing as the leading data warehousing platform in order to meet future demands: ▪ Cloud-, on-premises and hybrid deployments ▪ Logical Data Warehouse for dynamically changing system landscapes ▪ Integration of any data types and Big Data technologies ▪ Scale out to high volumes and data lakes ▪ Industry data models for rapid implementation HYBRID CLOUD ON-PREMISES SAP Data Warehouse Cloud SAP Data Warehousing SAP BW/4HANA SAP SQL Data Warehousing SAP HANA
  • 49. 55 PUBLIC © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP S/4HANA Blogs What is SAP S/4HANA embedded analytics? How does it add value? http://bit.ly/2cPkeqF How do I get started with embedded analytics? http://scn.sap.com/community/s4hana/blog/2016/05/27/getting-started- with-s4-hana-embedded-analytics How does the SAP S/4HANA embedded analytics architecture look like? http://scn.sap.com/community/s4hana/blog/2016/09/27/journey- of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded- analytics-architecture SAP S/4HANA Extensibility https://blogs.sap.com/2017/03/01/scn-s4hana-extensibility-scenario- diagrams/ Embedding Predictive Analytics into SAP S/4HANA Cloud https://blogs.sap.com/2017/05/16/embedding-predictive-analytics-into- sap-s4hana/ SAP S/4HANA and SAP BW/4HANA positioning https://blogs.sap.com/2017/08/15/sap-s4hana-and-sap-bw4hana-what- to-do-where/ openSAP Extending SAP S/4HANA Cloud and SAP S/4HANA Youtube SAP S/4HANA Cloud Analysis Path Framework Fiori Apps Library https://fioriappslibrary.hana.ondemand.com/sap/fix/externalViewer/ Documentation SAP S/4HANA SAP S/4HANA Cloud
  • 50. Purchase the print or e-book at sap-press.com/4690 ➢ Configure SAP S/4HANA embedded analytics for your landscape ➢ Use embedded analytics for operational reporting and process analytics ➢ Integrate with other SAP tools for data warehousing, business intelligence, and predictive analytics Customize and use SAP S/4HANA embedded analytics! SAP S/4HANA Embedded Analytics: The Comprehensive Guide Written by: Jürgen Butsmann, Thomas Fleckenstein, Anirban Kundu 430 pages | 09/2018 | E-book: $69.99 | Print: $79.95 | Bundle: $89.99
  • 51. 57 PUBLIC © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ Seit 26.4.2019 https://www.rheinwerk-verlag.de/sap-s4hana-embedded-analytics_4853/ https://www.amazon.de/SAP-4HANA-Embedded-Analytics- Operatives/dp/3836268965/ref=sr_1_2?__mk_de_DE=%C3%85M%C3%85 %C5%BD%C3%95%C3%91&keywords=butsmann&qid=1556311051&s=gat eway&sr=8-2
  • 52. 58 PUBLIC © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP BW/4HANA Community / Product Page https://sap.com/bw4hana10 Home Page https://sap.com/bw4hana Documentation https://help.sap.com/bw4hana20 Product Roadmap https://sap.com/roadmaps Get Started Free Learning @ openSAP, Free Trial Get Help FAQ, Q&A, Community Wiki, Support, Availability Read & Learn More SAP Blogs, Community Blogs, Learning Journey Transition from SAP BW Blog, SAP Activate Roadmap, SAP Readiness Check Related Solutions SAP HANA, SAP Data Hub, SAP Analytics Cloud Share & Follow #BW4HANA, #TheFutureofDW Watch Demos & Tutorials, YouTube Channel, SAP HANA Academy Training & Certification https://training.sap.com/
  • 53. 59 PUBLIC © 2019 SAP SE or an SAP affiliate company. All rights reserved. ǀ SAP Analytics Cloud https://www.sapanalytics.cloud/
  • 54. Contact information: Jürgen Butsmann Solution Management SAP S/4HANA SAP SE Juergen.Butsmann@sap.com Thank you!
  • 55. Access the slides from 2019 ASUG Annual Conference here: http://info.asug.com/2019-ac-slides Presentation Materials
  • 56. Q&A For questions after this session, contact us at Juergen.Butsmann@sap.com.
  • 57. Let’s Be Social. Stay connected. Share your SAP experiences anytime, anywhere. Join the ASUG conversation on social media: @ASUG365 #ASUG