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Customer

I@W Geberit

Overview EIM

© 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

Print

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.

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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

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Agenda

• SAP S/4HANA Overview

• SAP EIM Overview

• SAP EIM Roadmap

• SAP Master Data Governance

• SAP Information Steward

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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

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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

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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)

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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

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Deep profiling (column analysis) Point and click (without coding)

Profiling summary +

statistics

Drill down to values

Drill down to source records

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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

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Validation rules for business users

One Click to Create Validation

Rules

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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

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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

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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

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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

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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

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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