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© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2 Public
Disclaimer
This presentation outlines our general product direction and should not be relied on in making a
purchase decision. 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 but not 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.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4 Public
SAP S/4HANA Our Next-generation Business Suite
SAP S/4HANA is SAP’s
Next-generation
Business Suite
Innovative Database
New architecture and data
models
Renewed application scope
New UI technology
Different deployment models
SAP S/4HANA is a new product line.
The classical SAP Business Suite is a separate product line and will still be available.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 5 Public
SAP S/4HANA One Codeline, Different Products
Following the “Principle of One”, SAP S/4 HANA will offer all main features* in different
deployment options
*Detailed product features may differ
in different deployment options
SAP S/4HANA
Development
SAP ERP
Selected
corrections
SAP S/4HANA On-Premise Edition
SAP S/4HANA Cloud Edition
Dev. Consolidation
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6 Public
Introducing the next generation core and lines of business solutions
for the digital economy
SAP S/4HANA
MARKETING
SAP S/4HANA
HUMAN RESOURCES SAP S/4HANA
MANUFACTURING SAP S/4HANA
SUPPLY CHAIN
SAP S/4HANA
SALES SAP S/4HANA
FINANCE
SAP S/4HANA
SERVICE
SAP S/4HANA
SOURCING &
PROCUREMENT
SAP S/4HANA
ASSET
MANAGEMENT
SAP S/4HANA
RESEARCH &
DEVELOPMENT
The D
igita
l Core
T
he D
igital C
ore
Enterprise Management
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 7 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8 Public
The new enterprise information reality Need to enable real-time insight from more and different types of data
Real-time
Insight
Big Data Social
Cloud
Mobile
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9 Public
With an enterprise information management strategy,
you can help your business run better
Maximize Operational Efficiencies
Smoother business processes
Standardized and high quality information
Reduced IT costs
Make Better Decisions
Enhanced customer service
Increased marketing effectivness
Increased revenue growth
Reduce Risk
Improved accountability
Better accuracy and consistency
Compliance with internal and external regulations
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 10 Public
What is information governance? Oversight of information to improve business value
Solution today
A discipline that includes people, processes, policies, and metrics for the oversight of enterprise
information to improve the business value
High-value information:
Optimized business processes
Smarter business analytics
Timely mergers and acquisitions
Compliance with laws and regulations
Process People
Policies and
standards
Metrics
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 11 Public
Major use scenarios to start with
Organization Accountability Policies Metrics
Master Data Management
DQ Initiative
BI + Predictive
Analytics
Data
Migration
Information
Discovery
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 12 Public
Major use cases to complete your journey
Retention and
Archiving
Process
Monitoring
and Optimization
Organization Accountability Policies Metrics
Link
Master Data to
Rich
Information
Master Data Management
DQ Initiative
BI + Predictive
Analytics Data
Migration
Point of Entry
Firewall
Information
Discovery
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 13 Public
Information Lifecycle
Management
Before After
A
C
D B
Data
Quality
Master Data
Management
Content
Management Data
Modeling
Data
Integration
GOVERN
SAP solutions for Enterprise Information Management Run better with complete and trusted information
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 14 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 15 Public
Solution today Planned innovations Future direction
Next
Generation
EIM
EIM roadmap: Solution today
Govern
Information governance
Simplicity
Cloud
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 16 Public
Solution today
SAP solutions for EIM today Market leading solutions from architect to archive
Data modeling to
help visualize,
synchronize, and
understand how
information flows
across the
organization
Data integration to help
access, move, and load
both structured or
unstructured data,
including Big Data
sources, on premise
or in the cloud
Optimize your
existing
architecture
Achieve better
business
outcomes
Ensure real-time
decision
making
Data quality and
information
stewardship to help the
business discover,
measure, and improve
data quality across all
domains and sources at
the point of entry
Improve
business process
efficiency
Know validity
of information
Master data
management and
governance to provide
reliable, consistent, and
relevant information
directly embedded into
business process
applications
Information lifecycle
management to define
data retention periods,
manage data storage
and access, and ensure
compliance with legal
and regulatory
mandates
Increase business
productivity
Enterprise content
management
integrated with SAP
Business Suite
processes to create,
access and manage
content data within
transactional
applications
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17 Public
Solutions Today: Quick to deploy with and low cost to own Preintegrated with SAP and non-SAP applications
Solution today
MDM
*Enterprise data warehouse
Cloud Analytics
(BI/EDW*)
SAP
Business
Suite
3rd Party
SAP
Analytics
Databases
SAP HANA
SAP BW
EIM
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 18 Public
Future direction Solution today Planned innovations
EIM roadmap: Planned innovations
Planned innovations
Govern
Information governance
Simplicity
Cloud
Next
Generation
EIM
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 19 Public
Information governance Planned innovations for EIM
Planned innovations
Key needs Key innovations
Data for Analytics Quick ad hoc data analysis of metadata
objections and relationships
Describe custom landscape
SAP Information Steward Metadata Management provides tools to perform custom reporting
and import custom metadata relationships
Data across
Processes
Prevention of quality problems from
entering and proliferating in business
processes
SAP Business Suite on SAP HANA leverages embedded data cleansing and matching
capabilities within SAP HANA platform, ensuring seamless data correctness at point of entry
Customer master data consolidation in SAP MDG, leveraging SAP HANA capabilities
Zero Data Loss capabilities for SAP Business Suite via synchronous replication
Trusted Data Mitigation of risks and reduced costs by
capturing and addressing problems early
Address-line assignment for emerging APJ markets (and enhance compliance with local
standards and use cases for strategic countries in LATN.
Extended geo-location coverage for Eastern Europe, APJ, and LATN.
Retention management policies for unstructured and structured data (visualization of
retention policies across SAP NetWeaver Information Lifecycle Management and SAP
Extended ECM) in SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 20 Public
SAP Solutions for EIM: Simplicity
With intuitive UIs and flexible
deployment options – Cloud or
On-Premise
Planned innovations
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 21 Public
Simplicity Planned innovations for EIM
Planned innovations
Key needs Key innovations
Unified Provide faster and sustained value from a
complete EIM portfolio through
interoperability, reuse, and integration
across EIM solutions and with the real-
time data platform
Embedded data cleansing and matching capabilities with SAP HANA are inherently
applied by SAP Business Suite on SAP HANA to ensure trust that complete and accurate
data feeds every business process and operation
Unified system decommissioning for SAP Information Lifecycle Management
Landscape simplification with IM in HANA
Intuitive Ensure successful deployment,
encourage adoption, and reduce costs by
lowering the learning curve for users.
Automated destruction worklist support for SAP Information Lifecycle Management
Enhanced content type discovery where data definitions are automatically inferred
simplifies data validations, data quality assessments and ongoing monitoring activities
Access to SAP Master Data Governance via mobile devices
Extension of master data governance for business-user simplicity and drive to deliver low-
cost deployment (total cost of ownership)
Flexible Increase industry alignment via EIM
solution content for industry value maps to
increase business agility
EIM industry solution content enables industry-specific use cases across five key industry
sectors
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 22 Public
SAP Solutions for EIM: Cloud
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 23 Public
Cloud Planned innovations for EIM
Key needs Key innovations
Rapid time to value Quickly get productive at cloud speed HANA Cloud Integration delivers prepackaged integration flows to quickly enable targeted
business scenarios between SAP Business Suite and SAP Cloud solutions
SAP HANA Cloud Integration includes a web based intuitive UI for citizen developer to build
integration tasks rapidly by point and click, drag and drop- zero coding
Additional product integrations (Ariba buyer side integration, integration with Cloud
financials)
Choice of
deployment options
Provide flexibility in deployment options SAP Master Data Governance, Data Services and Information Steward are all available in
HANA Enterprise Cloud
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 24 Public
New release strategy for SAP Data Services & Information Steward Increase the speed of innovation consumption
New innovations delivered quarterly
No waiting period or ramp-up period
SAP Data Services and Information Steward –
quarterly release of innovations in 2014
(Q2, Q3, Q4)
SAP HANA Cloud Integration (HCI) – Six
consecutive quarterly releases of innovations
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 25 Public
Planned innovations for SAP Data Services
Planned innovations
Key needs Key innovations
Support for leading market geospatial data type Geospatial data support of ESRI Shapefile
Simpler architecture and deployment configuration to support real-time
change data capture
Replication Server integration enhancement
SAP Data Services connectivity to access data support MongoDB support
Protection of critical sensitive data Data Masking support
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 26 Public
Planned innovations for SAP Information Steward
Planned innovations
Key needs Key innovations
Discovery and custom definition of additional system metadata
WebI query filter metadata
Enhancements in Metapedia term definition and import/export
Metapedia term-object relationship export
Support for Metadata Management custom reporting IS repo data model for custom reporting in Metadata Management
Impact/lineage export to Excel
Improved availability, reliability and performance Performance improvements
Support SAP CRM, SRM, APO for data insight
ASE as IS repo
Localization for Russia
Improved usability Auto rule suggestion for dependency and uniqueness
Improved “propose join” in views
Improved CPB testing
10101100110101
10101011011011
10101100110101
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 27 Public
Planned innovations for SAP HANA Cloud Integration
Planned innovations
Key needs Key innovations
High availability for the on-premise agents Clustered agent – logically group on-premise agents
Built-in version management to keep track of multiple versions, without needing
to export to files
Version Management and read-only view in production
Compliance to security standards by maintaining an audit trail on who executed
or promoted which task
Keep an audit trail for actions on production data
Improved developer experience by designing tasks with a graphical flow editor Graphical dataflow editor to create even complex tasks in a simple way
Simplified install experience Option to run the agent on a laptop (Windows 7) for development
Use latest encryption standard for data send from the agent to the HANA
based cloud applications
Improved security with TLS 1.1 / 1.2 encryption
Use HCI to get data from on-premise systems for SAP Lumira Cloud Support for SAP Lumira Cloud
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 28 Public
Planned innovations for SAP Data Quality Management,
version for SAP
Planned innovations
Key needs Key innovations
Improved reliability and availability for new demand market Support for DS 4.2.2, including new Korean address system with translated
DQM for SAP content in Korean
Support for one-to-one mapping of SAP Business Partner fields, thereby
removing the need for pre and post processing
Discrete business partner input/output field support for address cleansing
Improved usability Simplified display for address validation suggestion lists
Ability to add/remove cleansing cases and reject the changed addresses if
required
Batch match review and Batch address review reports improvements
Data Quality needs within SAP Business Suite Name and person cleansing within SAP Business Suite
Improved availability, reliability, and performance
Data Quality Management for SAP (SAP Business Suite Powered by HANA)
using EIM Powered by HANA services in SAP HANA SP9, including geo-
coding of business partner data using data quality in HANA
Performance improvements
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 29 Public
Planned innovations for SAP Information Lifecycle
Management
Planned innovations
Key needs Key innovations
Ability to destroy large data volumes in an automated fashion Automated destruction work list support for SAP Information Lifecycle
Management
Streamline process of system decommissioning to reduce project runtime and
costs
Unified System decommissioning for SAP Information Lifecycle Management
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 30 Public
Planned innovations for SAP PowerDesigner
Planned innovations
Key needs Key innovations
Support Business Process Documentation and Architecture Modeling on the
Web
HTML5-based BPMN Modeling, new Web-based modeling framework for all
other model types
Support for easy Enterprise Planning and Reporting Enterprise Architecture Dashboards with Charts & Graphs support, EA
Dashboard on the Web
Support Accurate Analytics and Planning for Analytics More metadata exchange capabilities for data movement, OLAP reporting,
integrated with EA dashboards
SAP Architecture & Modeling Tool of Choice Continuous improvement in SAP Business Suite, SAP HANA Platform, SAP
EIM Solutions integration
Support Modeling for Big Data Hadoop Hive support, new modeling techniques for other Big Data
technologies
Support latest RDBMS Vendor/Versions Update Support for Oracle, IBM, Microsoft, Teradata and more
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 31 Public
Planned innovations for SAP ECM
Planned innovations
Key needs Key innovations
Simply user interface for SAP Invoice Management Co-development with OpenText based on Fiori underway
Support for mobile access and synchronization of content across devices • Tempo integration with SAP Extended ECM offers users to sync and share
content as part of SAP business processes in a secure environment.
Enhance SharePoint collaboration and content management across SAP
landscape.
• Developing SAP Extended ECM business workspace interface with Yammer
Leverage OLTP and OLAP integration with SAP Business Suite powered by
SAP HANA and SAP HANA Analytics
• Package integration support SAP payables management for collaborative
invoice to pay with HANA Analytics and dashboard
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 32 Public
Future direction Planned innovations Solution today
EIM roadmap: Future direction
Govern
Information governance
Simplicity
Cloud
Next
Generation
EIM
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 33 Public
Extremely high-performance, open EIM platform, simplified landscape delivering the most
trusted information for all operational business processes and analytical applications:
Powered by SAP HANA – in-memory, high volumes, simplified landscape
Address all information management needs (provisioning, data quality, consolidation and governance)
Provision data – any source, shape, size or style
Provide customers choice of deployment option (Cloud / on-premise)
Democratize data access with self-service data provisioning for business user
Future direction of SAP solutions for EIM
Future direction
Next
Generation
EIM
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 34 Public
Next Generation EIM
Address all information management needs
(provisioning, data quality, consolidation,
governance)
Simplified landscape
Provide intuitive consumer grade experience
Cloud or on premise deployment
Enable consumption of Information Management in
SAP HANA services by SAP and partner
applications
SAP HANA
Information Management Services
Metadata & Semantics
Cleansing Matching
Data Discovery DQ Assessment
3rd Party Enrichment Best Record
Data Transformation
Relationship Hierarchy
Real-time Data Provisioning
On Premise and Cloud sources of data
Relational, semi-structured, and unstructured
SAP Applications Partner/Custom
Applications
Future direction
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 35 Public
EIM Roadmap Summary
Comprehensive EIM Solutions for on premise and Cloud Data in any style, shape, and delivery mode
Information governance end-to-end
Better value to the business Simplicity and tight integration with industry and application offerings
Built on our deep understanding of business processes
Innovation without disruption Leverage the power and performance of HANA
Embrace to cloud at your own pace
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 36 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 37 Public
SAP Master Data Governance Product description
SAP Master Data Governance (MDG) is a natural extension of the business processes running in SAP Business Suite, providing out-of-the-box, domain-
specific master data governance to centrally create, change and distribute master data for all of your Enterprise system landscape.
Governance for consistent data
Enables governance, compliance and transparency through
integrated staging, approval and central audit trail
Delivers consistent definition, authorization and replication of key
master data entities for SAP
Eliminates error prone manual maintenance processes for master
data in multiple systems
Integration and re-use
Native integration with SAP Business Suite
Re-use of SAP data model, UI, existing business logic and
configuration for creation and validation
Open to create governance for your own master data
Data quality
Integrates with SAP Data Services and SAP Information Steward
for quality, enrichment, and data remediation
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 38 Public
SAP Master Data Governance Customer needs and the value propositions of the product
Up-front, central creation of master data enables
high data quality and leads to significant business
improvements
Out-of-the-box, process-centric applications provide
centralized governance for master data domains such as
financial data, supplier data, customer data, and material
data
Native integration with SAP Business Suite using existing
business logic and infrastructure leads to
low TCO
SAP Master Data Governance provides flexibility,
from configurable workflows and extensible data
models, up to custom built applications
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 39 Public
SAP Master Data Governance 7.0 – Innovations Faster search, better usability, more flexible foundation
TODAY
Faster search (optionally with SAP HANA), duplicate detection, cleansing and matching
Search &
de-duplication Advanced duplicate-detection and similarity-ranked search based on SAP HANA’s fuzzy search capabilities
Find instead of search using multi-attribute drill-down selection
Cleansing Data cleansing through merging and correcting duplicate business partners
Better usability providing easy access, insight, and follow-up actions for the business
User experience SAP Fiori applications enabling business users to request new master data
Enable SAP Smart Business providing intuitive visualization of process KPIs and allow for issue resolution
Business agility Improved usability: highlighting data changes, undo / redo, dedicated Work Centers for Accounting, Controlling & Consolidation, improved user
interfaces for maintenance of Financial data and custom objects
Dedicated user interface for multiple-record processing with a first focus on material master data
Support usage of SAP ERP Document Management System for attachments to material master data
More flexible foundation for higher business efficiency and refined process control
Business efficiency Parallel change requests on different parts of the same master data object allow more agile governance
Flexible Edition Management with enhanced scheduling, intuitive access and better transparency
Improved mass data import into MDG’s “flexible mode” models, i.e. for Financial data and custom objects
Out-of-the-box
integration Continued enhancements across all master data domains, now also for generic SAP Business Partner
Enriched integration scenarios, e.g. with SAP CRM for Customer, or replication of SAP Configuration data
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 40 Public
SAP ERP SAP ERP
Master data governance in hybrid landscapes Synchronized master data across on premise and on demand
All systems always in synch
Master data creation can happen in on demand systems, on
premise systems or in SAP MDG
De-central creation triggers a process in SAP MDG
After approval, enriched high quality master data is replicated
to all relevant cloud and on premise systems
Integration out-of-the-box, yet adaptable
Can be implemented based on standard capabilities,
synchronization e.g. via extendable SOA services
Any system can be involved as source and/or target
Pre-built integration for selected SAP systems
Move to the cloud at your own speed
A master data hub (like MDG) that synchronizes
master data across on premise and on demand is a pre-
requisite for your system landscape simplification and your
move to the cloud in digestible steps
SAP ERP
On Premise Systems
SAP Master Data Governance
Pro
sp
ects
Op
po
rtun
it
ies
Cu
sto
mers
Inquiries …
Enrich Validate Approve
Key mapping
Fulfillment …
Invoicing …
Cloud
Real-life customer example: SAP MDG managing prospect
and customer data between cloud and on premise systems
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 41 Public
SAP Master Data Governance 7.0
A logical step on your path towards SAP HANA
Run SAP MDG on SAP HANA
Benefit from similarity-ranked search and duplicate-
detection, and allow analyzing master data structures
via multi-attribute drill-down
Provide easy access, insight, and follow-up actions
for the business through real-time aggregation for
smart business analytics
Your perfect SAP HANA frontrunner
In addition to the above benefits you gain directly for
SAP MDG, you can at the same time learn and better
understand the role that SAP HANA can play in your
Enterprise
A dedicated master data hub on SAP HANA can be
the first step, followed by operational business
systems, and finally towards a simplified system
landscape on SAP HANA
Your Road to SAP HANA
Fast path
Rocky road
Your Enterprise
on SAP HANA
SAP MDG
on SAP HANA
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 42 Public
Simplify the access to your master data with SAP MDG
Tailored user interfaces support your
users’ efficiency
SAP MDG user interfaces can appear differently
along the process
Every expert can get a dedicated user interface
that best fits the work intention
This can be done by configuration, no
programming or modification necessary
SAP Fiori for simplified mobile use
Simplify your master data mgmt and invite
additional people to participate directly
Efficient scenarios to request new master data or
to monitor KPIs and trends
Speed up your data provisioning and decision
making by involving people anytime and
anywhere
Requestor
Purchasing Specialist
Financial Specialist
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 43 Public
SAP MDG – Planned innovations A strong foundation for business agility along the master data lifecycle
End-to-end processes for the entire master data lifecycle, covering central governance and consolidation
Empowering business agility with HANA-based analytics and consumer-grade user experience
Strong foundation for improved business efficiency and process flexibility enabling simplification
This is the current state of planning and may be changed by SAP at any time.
Master data consolidation Load, standardize, match and calculate best records using services provided by
Information Management in SAP HANA (first focus on customer and supplier master
data)
Enabling broader usage Additional SAP Fiori approval apps for selected domains
(in addition to the request apps provided already)
Extend Smart Business by delivering HANA-based analytics including master data
object attributes and change docs
Strengthening the foundation Enhancements to the MDG application foundation for further improved usability and
process flexibility
Continued enhancements of SAP MDG’s out-of-the-box data models for standard
master data
Customer-driven optimization, simplification and round-offs, e.g. enhanced and
simplified hierarchy management
Further out-of-the-box integration, e.g. hybris PCM (products), Ariba SIPM
(suppliers), SAP ACS (address screening)
This is the current state of planning and may be changed by SAP at any time. PCM = Product Content Mgmt, SIPM = Supplier Information and Performance Management , ACS = Assurance and Compliance Suite
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 44 Public
Extending SAP MDG to master data consolidation Planned innovations detail
Master data consolidation
Load business partners from source systems and standardize them
based on normalization rules and address directories
Create match groups and calculate best records from all the source
attributes and based on survivorship rules
Based on services provided by Information Management in the SAP
HANA platform
Can extend governance or run standalone
Optionally, the consolidation process can integrate smoothly with the
central governance for business partner master data
Consolidation can also run standalone – without governance
Parts of the company that are consolidated into the central master data
repository can be put under governance over time
Governed data and consolidated data is always in synch
Easy to consume
Planned to be provided as release upgrade for SAP MDG customers or
optionally as separate new installation
This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 45 Public
SAP MDG and hybris PCM Each solution’s focus area and integration between the two
TODAY and PLANNED INNOVATIONS
SAP MDG provides central governance across
master data domains for data quality for use in
transactional and analytical systems
hybris PCM is a Product Information Mgmt
(PIM) application for product catalogs and
eCommerce support
Many customers benefit from combining the
products:
– SAP MDG feeds hybris PCM with
trusted data needed in product catalogs and
eCommerce
– External data can (optionally) feed hybris PCM
directly for further enrichment and catalog
management, if it is not needed in transactional or
analytical systems
Additional products in SAP’s EIM portfolio
support the overall landscape
SAP Master Data Governance
Governed creation / maintenance
of material data including
validation, approval and replication
hybris Product Content
Management
Product Content Management
(Simple product data maintenance)
Maintain Validate Approve
Aggregate Beautify Syndicate
Business
Applications
Mass Data
Acquisition
eCommerce
TODAY: Asynchronous integration via SAP PI
available as Rapid Deployment Solution
PLANNED INNOVATION: synchronous integration
via web services (SAP PI optional)
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 46 Public
SAP Master Data Governance Future direction
Build the foundation and support strategic trends
Complete the core master data management capabilities, covering
end-to-end processes for all your master data and the entire lifecycle incl.
consolidation, distributed or central create, and data replication.
Deliver trusted master data as the DNA of the enterprise through integration to
business processes and analytics and enable the extended value chain by leveraging
social and business networks
as well as by enrichment with third-party reference data.
Simplify and prepare for your company’s future
Enable simplified master data access for users, providing consumer-grade user
experience and efficient mobile scenarios for triggering of changes, approval,
rejection, search or to monitor KPIs and trends.
Address big data challenges and meaningful business analytics based on
harmonized, high quality master data by natively integrating SAP’s Information
Management portfolio and SAP’s in-memory technology.
Support system landscape simplification and the move to the cloud by providing
synchronized master data across on demand and on premise. This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 47 Public
Exchanging master data in the extended value chain Strategic direction, using connectivity in business networks
Connect to suppliers with ARIBA
Exchange master data between
business partners via the ARIBA
network
Manage data internally in SAP
Governed provisioning of master data
with SAP MDG, ready to be used in all
internal business applications
Provide product data via hybris
PCM
Enrich product data for use in catalog,
eCommerce and other customer-facing
channels
This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 48 Public
SAP MDG and the promises of the cloud Strategic direction: new consumption models, additional opportunities
Reality today: most master data is on premise
Criticality of enterprise master data makes many companies
reluctant to manage it in a public cloud
At the same time, the data needs to be integrated with special
purpose cloud applications
MDG can be consumed on demand, is mostly deployed on
premise today, integrates well with cloud applications
Leverage the cloud for new insight
Master data management that leverages the cloud can provide a
different level of efficiency by sharing the burden of the
maintenance, and a different quality of content when harvesting
the wisdom of the crowd
Provide master data management in the cloud
We intend to offer SAP MDG consumption via public cloud and
to open up SAP’s master data management capabilities for
consumption by other cloud applications This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 49 Public
Understand Big Data, powered by SAP MDG and HANA Meaningful business analytics based on high quality master data
Solid foundation for your Big Data
challenges
Provide harmonized, high quality master data
through central management as well as master
data consolidation approaches
Leverage SAP’s Information Management
portfolio and SAP’s in-memory technology
natively integrated into SAP MDG, for big data
and also for high volume master data
Analytics that your users understand
Information related to the same physical objects
or same business partners can be aggregated
correctly
Harmonized master data attributes allow for
correct slicing & dicing in big data analytics This is the current state of planning and may be changed by SAP at any time.
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 50 Public
Summary
SAP Master Data Governance – the efficient way to consistency
and quality of the DNA of your enterprise*
SAP MDG provides out-of-the-box, domain-specific master data applications
as well as a flexible framework for own data models and processes. This
allows you to centrally manage and distribute all of
your master data for your company’s complete system landscape.
The clean master data from SAP MDG enables you to prepare for the next
steps of your enterprise software journey. For example…
…MDG supports your system landscape simplification and move to the cloud with
synchronized master data across on premise and on demand
…Handle your big data challenges with meaningful business analytics based on high
quality master data and leveraging SAP HANA
…Mobilize your business with simplified master data access and efficient scenarios for
request, approval, or to monitor KPIs and trends
…Establish an SAP MDG hub on SAP HANA which will bring you direct benefits – at
the same time it can be a first step to better understand the role that SAP HANA can
play in your Enterprise *) Master Data = the DNA of your enterprise
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 51 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 52 Public
SAP Information Steward Product overview
Monitor
Quality
continuously
Improve
Data quality &
governance
Discover
Understand & catalog
enterprise data
Assess
Overall
data quality
Define
Rules and
ownership
IT IT can share data quality metrics with business
users and involve them in owning the data problem
Business Business users can see how their information measures
up against information governance rules and standards
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 53 Public
Information Steward
Data Services
The wheel of data quality Great complements - SAP Data Services and SAP Information Steward
Measure and analyze data through data
assessment and continuous monitoring
Cleanse and enhance customer and
operational data anywhere across the
enterprise
Match and consolidate data at multiple
levels within a single pass for individuals,
households, or corporations
Measure
Analyze
Parse
Standardize
Correct
Enhance
Match
Consolidate
Continuous
Monitoring
Your Data
Continuous Data
Quality Monitoring
Data Assessment
Match and
consolidate,
De-duplicate
Improve
Data
Cleansing
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 54 Public
Data Services foundation for Information Steward
Information Platform Services
SAP BusinessObjects BI platform
SAP Data Services
SAP Information Steward
Data Steward /
Data Analyst IT / Developer IT / Administrator
Data
Integration
Data
Profiling
Data
Quality Text
Analytics
Metadata
Management
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 55 Public
Information Steward overview
Data Profiling +
Data Quality
Assessment &
Monitoring +
Data Quality
Advisor
System landscape
and architecture
metadata cataloging
and lineage/impact
DQM
Functionality for
party and non-
party data
Cleansing
Packages
Comprehensive
Business
Taxonomy
Data Profiling
DQ Monitoring
DQ Advisor
Metadata
Analysis
Cleansing
Rules
Business
Term
Taxonomy
Activity
Tracking
Work list
management
(Match review)
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 56 Public
Data Insight
Discovery, definition and monitoring
• Gather statistical information,
analyze and identify weak
spots
• Run data validation policies
on data in the context of
business processes
• Drill down to the data for
frequency distribution,
pattern analysis
• Identify redundancy and
dependency of columns and
tables
• Share and monitor data
quality KPIs
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 57 Public
Deep profiling (column analysis) Point and click (without coding)
Profiling summary +
statistics
Drill down to values
Drill down to source records
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 58 Public
Advanced profiling
Address Profiling
Validate address data
Dependency Profiling
Identify attribute-level connections
in data. (Normalization rules
practice)
Redundancy Profiling
Identify degree of duplication
Uniqueness Profiling
Identify non-unique data
Redundancy Profiling
Drill down to
duplicate and non-
duplicate records
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 59 Public
Validation rules for business users
One Click to Create Validation
Rules
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 60 Public
Validation rules for business users
Business User friendly (no
coding)
IT friendly (provides Advanced
Editor for complex rules)
Validation Rules to enforce data
quality compliance against
business requirements
Custom Attributes for further
details, better organization and
custom DQ dimensions
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 61 Public
Central definition of data quality rules Apply same rules to static data stores & embed them into real-time + batch data flows
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 62 Public
Agenda
• SAP S/4HANA Overview
• SAP EIM Overview
• SAP EIM Roadmap
• SAP Master Data Governance
• SAP Information Steward
• SAP HANA EIM Roadmap
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 63 Public
SAP HANA smart data integration and smart data quality Use Cases
Analytics
• Virtualized access for non-critical data
• Side car scenarios for OLTP based reporting
• ETL for HANA native data marts and data warehouses
Data Migration
• Migration of data from legacy systems into SAP HANA or other external systems
Data Integration
• Batch or real time integration of external systems and SAP HANA
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 64 Public
Any Source Transform and Persist
Data
Event Streams
Data Synchronization
Data Virtualization
ODBC
Data Sources
(HANA, IQ, ASE, Hadoop, etc…)
Network Devices
– Wired / Wireless
Complex Event
Data Source
Non-SAP Data Sources
Cloud Sources
SAP Business Suite Trigger-Based
Log-Based
ETL, Batch
SAP HANA
smart data access
SAP Event Stream
Processor
SAP Data Services
SAP
Replication Server
SAP SQL Anywhere
Data Movement
Over Networks
SAP Landscape Transformation
Replication Server
SAP HANA
Virtual Tables Tables
Report on Data
SAP HANA Platform Traditional data integration solutions
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 65 Public
SAP HANA Platform Simplification through native data integration solutions
Any Source Move, Transform, and Persist Data
Data Sources
(HANA, IQ, ASE, Hadoop, etc…)
Network Devices
– Wired / Wireless
Complex Event
Data Source
Non-SAP Data Sources
Cloud Sources
SAP Business Suite
Analyze Data
SAP HANA
Virtual Tables Tables
Da
ta P
rovis
ion
ing
Event Streams
Data Synchronization
Data Virtualization
Real-time / Batch
Real-time / Batch
Real-time /Batch
Data
Dis
trib
uti
on
SAP & Non-SAP Data Sources
(HANA, ASE, File, etc…)
Distribute Data
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 66 Public
SAP HANA smart data integration
Native Integration Capabilities
• Supports all styles of data delivery
• Federation
• Batch
• Real Time (not all data sources)
• Architected for on premise, cloud or hybrid deployments
On premise or Web Based Design Tools • HANA Studio
• HANA Web-based Development Workbench
Open framework • Out of the box adapters for common sources
• Open SDK for customers and partners to build custom adapters
On
-pre
mis
e a
nd
Clo
ud
so
urc
es o
f data
Data Provisioning Agent
Ad
ap
ter
Fra
me
wo
rk
TCP/IP or HTTPS
3rd party DB Adapters
ECC, ASE, HANA
HIVE adapter
Twitter, Flat file..
RDBMS
SAP HANA Virtual Tables
Tables
Data Provisioning
Server
Tables
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 67 Public
SAP HANA smart data integration – Architecture TCP/IP (SSL)
SAP HANA
Sources
Data Provisioning
Server
C++ Adapters
SAP HANA XS
Monitoring
Index Server Source
protocol
Data Provisioning
Agent
Java Adapters
Configuration
Tool
Source
protocol
Sources
TCP/IP (SSL)
Port: 5050
The data provisioning server and data provisioning agent are
components of SAP HANA smart data integration
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