Geberit Overview EIM. Customer

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Amice Summers
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1 Geberit Overview EIM Customer

2 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 SAP SE or an SAP affiliate company. All rights reserved. Public 2

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

4 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 SAP SE or an SAP affiliate company. All rights reserved. Public 4

5 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 Development SAP S/4HANA On-Premise Edition SAP S/4HANA Dev. Consolidation SAP S/4HANA Cloud Edition Selected corrections SAP ERP *Detailed product features may differ in different deployment options 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 5

6 The Digital Core 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 ASSET MANAGEMENT Enterprise Management The Digital Core SAP S/4HANA SALES SAP S/4HANA FINANCE SAP S/4HANA SERVICE SAP S/4HANA SOURCING & PROCUREMENT SAP S/4HANA RESEARCH & DEVELOPMENT 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 6

8 The new enterprise information reality Need to enable real-time insight from more and different types of data Mobile Big Data Social Real-time Insight Cloud 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 8

With an enterprise information management strategy, you can

Smoother business processes Standardized and high quality

customer service Increased marketing effectivness Increased

accuracy and consistency Compliance with internal and external

9 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. Public 9

people, processes, policies, and metrics for the oversight of enterprise information

business processes Smarter business analytics Timely mergers and acquisitions

10 What is information governance? Oversight of information to improve business value A discipline that includes people, processes, policies, and metrics for the oversight of enterprise information to improve the business value People Process High-value information: Optimized business processes Smarter business analytics Timely mergers and acquisitions Compliance with laws and regulations Policies and standards Metrics Solution today 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 10

11 Major use scenarios to start with Master Data Management DQ Initiative Information Discovery BI + Predictive Analytics Data Migration Organization Accountability Policies Metrics 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 11

12 Major use cases to complete your journey Master Data Management Link Master Data to Rich Information Retention and Archiving DQ Initiative Point of Entry Firewall Process Monitoring and Optimization Data Migration Information Discovery BI + Predictive Analytics Organization Accountability Policies Metrics 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 12

13 SAP solutions for Enterprise Information Management Run better with complete and trusted information Before Data Quality After D A B C Data Integration GOVERN Master Data Management Data Modeling Content Management Information Lifecycle Management 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 13

15 EIM roadmap: Solution today Govern Information governance Simplicity Cloud Next Generation EIM Solution today Planned innovations Future direction 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 15

SAP solutions for EIM today Market leading solutions from architect to archive Optimize your existing architecture Achieve better business outcomes

quality and Data integration to help Master data Enterprise content Information lifecycle help visualize, information access, move, and load management

periods, understand how business discover, unstructured data, reliable, consistent, and Business Suite manage data storage information flows measure, and

directly embedded into access and manage compliance with legal organization domains and sources at or in the cloud business process content data within

16 SAP solutions for EIM today Market leading solutions from architect to archive Optimize your existing architecture Achieve better business outcomes Ensure real-time decision making Improve business process efficiency Increase business productivity Know validity of information Data modeling to Data quality and Data integration to help Master data Enterprise content Information lifecycle help visualize, information access, move, and load management and management management to define synchronize, and stewardship to help the both structured or governance to provide integrated with SAP data retention periods, understand how business discover, unstructured data, reliable, consistent, and Business Suite manage data storage information flows measure, and improve including Big Data relevant information processes to create, and access, and ensure across the data quality across all sources, on premise directly embedded into access and manage compliance with legal organization domains and sources at or in the cloud business process content data within and regulatory the point of entry applications transactional mandates applications Solution today 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 16

17 Solutions Today: Quick to deploy with and low cost to own Preintegrated with SAP and non-sap applications Databases MDM Cloud Analytics (BI/EDW*) SAP HANA EIM 3 rd Party *Enterprise data warehouse SAP Analytics SAP Business Suite SAP BW Solution today 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 17

18 EIM roadmap: Planned innovations Govern Information governance Simplicity Cloud Next Generation EIM Solution today Planned innovations Future direction Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 18

Information governance Planned innovations for EIM Data for Analytics Key needs Quick ad hoc data analysis of metadata objections and relationships Describe custom landscape Key innovations SAP

19 Information governance Planned innovations for EIM Data for Analytics Key needs Quick ad hoc data analysis of metadata objections and relationships Describe custom landscape Key innovations 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 Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 19

SAP Solutions for EIM: Simplicity With intuitive UIs and flexible deployment options Cloud or

21 Simplicity Planned innovations for EIM Unified Key needs Provide faster and sustained value from a complete EIM portfolio through interoperability, reuse, and integration across EIM solutions and with the realtime data platform Key innovations 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 lowcost 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 Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 21

SAP Solutions for EIM: Cloud 2015 SAP SE or an

23 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. Public 23

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

24 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. Public 24

25 Planned innovations for SAP Data Services Key needs Support for leading market geospatial data type Simpler architecture and deployment configuration to support real-time change data capture SAP Data Services connectivity to access data support Protection of critical sensitive data Key innovations Geospatial data support of ESRI Shapefile Replication Server integration enhancement MongoDB support Data Masking support Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 25

26 Planned innovations for SAP Information Steward Key needs Discovery and custom definition of additional system metadata Key innovations 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 Improved usability Performance improvements Support SAP CRM, SRM, APO for data insight ASE as IS repo Localization for Russia Auto rule suggestion for dependency and uniqueness Improved propose join in views Improved CPB testing Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 26

27 Planned innovations for SAP HANA Cloud Integration Key needs High availability for the on-premise agents Built-in version management to keep track of multiple versions, without needing to export to files Compliance to security standards by maintaining an audit trail on who executed or promoted which task Improved developer experience by designing tasks with a graphical flow editor Key innovations Clustered agent logically group on-premise agents Version Management and read-only view in production Keep an audit trail for actions on production data 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 Use HCI to get data from on-premise systems for SAP Lumira Cloud Improved security with TLS 1.1 / 1.2 encryption Support for SAP Lumira Cloud Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 27

28 Planned innovations for SAP Data Quality Management, version for SAP Key needs Improved reliability and availability for new demand market Support for one-to-one mapping of SAP Business Partner fields, thereby removing the need for pre and post processing Key innovations Support for DS 4.2.2, including new Korean address system with translated DQM for SAP content in Korean Discrete business partner input/output field support for address cleansing Improved usability Ability to add/remove cleansing cases and reject the changed addresses if required Data Quality needs within SAP Business Suite Improved availability, reliability, and performance Simplified display for address validation suggestion lists Batch match review and Batch address review reports improvements Name and person cleansing within SAP Business Suite Data Quality Management for SAP (SAP Business Suite Powered by HANA) using EIM Powered by HANA services in SAP HANA SP9, including geocoding of business partner data using data quality in HANA Performance improvements Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 28

29 Planned innovations for SAP Information Lifecycle Management Key needs Ability to destroy large data volumes in an automated fashion Streamline process of system decommissioning to reduce project runtime and costs Key innovations Automated destruction work list support for SAP Information Lifecycle Management Unified System decommissioning for SAP Information Lifecycle Management Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 29

30 Planned innovations for SAP PowerDesigner Key needs Support Business Process Documentation and Architecture Modeling on the Web Support for easy Enterprise Planning and Reporting Support Accurate Analytics and Planning for Analytics SAP Architecture & Modeling Tool of Choice Support Modeling for Big Data Support latest RDBMS Vendor/Versions Key innovations HTML5-based BPMN Modeling, new Web-based modeling framework for all other model types Enterprise Architecture Dashboards with Charts & Graphs support, EA Dashboard on the Web More metadata exchange capabilities for data movement, OLAP reporting, integrated with EA dashboards Continuous improvement in SAP Business Suite, SAP HANA Platform, SAP EIM Solutions integration Hadoop Hive support, new modeling techniques for other Big Data technologies Update Support for Oracle, IBM, Microsoft, Teradata and more Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 30

Planned innovations for SAP ECM Key needs Simply user interface for SAP Invoice Management Key innovations Co-development with OpenText based on Fiori underway Support for mobile access and

31 Planned innovations for SAP ECM Key needs Simply user interface for SAP Invoice Management Key innovations 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. Leverage OLTP and OLAP integration with SAP Business Suite powered by SAP HANA and SAP HANA Analytics Developing SAP Extended ECM business workspace interface with Yammer Package integration support SAP payables management for collaborative invoice to pay with HANA Analytics and dashboard Planned innovations 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 31

32 EIM roadmap: Future direction Govern Information governance Simplicity Cloud Next Generation EIM Solution today Planned innovations Future direction 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 32

33 Future direction of SAP solutions for EIM 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 Next Generation EIM Future direction 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 33

Next Generation EIM Address all information management needs (provisioning, data quality, consolidation, governance) Simplified landscape SAP Applications SAP HANA Information Management Services

34 Next Generation EIM Address all information management needs (provisioning, data quality, consolidation, governance) Simplified landscape SAP Applications SAP HANA Information Management Services Data Discovery Partner/Custom Applications DQ Assessment Provide intuitive consumer grade experience Cloud or on premise deployment Metadata & Semantics Cleansing Best Record Hierarchy Data Transformation Matching 3 rd Party Enrichment Relationship Enable consumption of Information Management in SAP HANA services by SAP and partner applications Real-time Data Provisioning On Premise and Cloud sources of data Relational, semi-structured, and unstructured Future direction 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 34

governance end-to-end Better value to the business Simplicity and tight integration with industry and application

35 EIM Roadmap Summary Innovation without disruption Leverage the power and performance of HANA Embrace to cloud at your own pace 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 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 35

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,

37 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, domainspecific 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. Public 37

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

38 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. Public 38

39 SAP Master Data Governance 7.0 Innovations Faster search, better usability, more flexible foundation Faster search (optionally with SAP HANA), duplicate detection, cleansing and matching Search & de-duplication Cleansing 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 Data cleansing through merging and correcting duplicate business partners Better usability providing easy access, insight, and follow-up actions for the business User experience Business agility 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 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 Out-of-the-box integration 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 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 TODAY 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 39

Master data governance in hybrid landscapes Synchronized master data across on premise and on demand All systems always

triggers a process in SAP MDG After approval, enriched high quality master data is replicated to all relevant cloud and

via extendable SOA services Any system can be involved as source and/or target Pre-built integration for selected SAP

SAP ERP Inquiries SAP ERP Fulfillment Invoicing Move to the cloud at your own speed A master data hub (like MDG) that

40 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 Real-life customer example: SAP MDG managing prospect and customer data between 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 Customers Prospects Enrich Validate Approve SAP Master Data Governance Opportunit ies Key mapping Cloud SAP ERP SAP ERP Inquiries SAP ERP Fulfillment Invoicing 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 prerequisite for your system landscape simplification and your move to the cloud in digestible steps On Premise Systems 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 40

41 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 duplicatedetection, 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 Enterprise on SAP HANA SAP MDG on SAP HANA Your Road to SAP HANA Fast path Rocky road 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 41

Simplify the access to your master data with SAP MDG Tailored user interfaces support your

expert can get a dedicated user interface that best fits the work intention This can be done

use Simplify your master data mgmt and invite additional people to participate directly

data provisioning and decision making by involving people anytime and anywhere Requestor

42 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. Public 42

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

simplification 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

analytics including master data object attributes and change docs Strengthening the foundation Enhancements to the MDG application foundation for further improved usability and process

enhanced and simplified hierarchy manage

43 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 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) PCM = Product Content Mgmt, SIPM = Supplier Information and Performance Management, ACS = Assurance and Compliance Suite This is the current state of planning and may be changed by SAP at any time SAP SE or an SAP affiliate company. All rights reserved. Public 43

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

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

44 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 SAP SE or an SAP affiliate company. All rights reserved. Public 44

SAP MDG and hybris PCM Each solution s focus area and integration between the two SAP MDG provides central governance across

(PIM) application for product catalogs and ecommerce support SAP Master Data Governance Governed creation / maintenance of

from combining the products: SAP MDG feeds hybris PCM with trusted data needed in product catalogs and ecommerce External data

or analytical systems Additional products in SAP s EIM portfolio support the overall landscape Business Applications TODAY:

services (SAP PI optional) TODAY and PLANNED INNOVATIONS hybris Product Content Management Product Content Management (Simple

45 SAP MDG and hybris PCM Each solution s focus area and integration between the two 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 SAP Master Data Governance Governed creation / maintenance of material data including validation, approval and replication Maintain Validate Approve ecommerce Print 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 Business Applications TODAY: Asynchronous integration via SAP PI available as Rapid Deployment Solution PLANNED INNOVATION: synchronous integration via web services (SAP PI optional) TODAY and PLANNED INNOVATIONS hybris Product Content Management Product Content Management (Simple product data maintenance) Aggregate Beautify Syndicate Mass Data Acquisition 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 45

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

46 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 SAP SE or an SAP affiliate company. All rights reserved. Public 46

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

47 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 SAP SE or an SAP affiliate company. All rights reserved. Public 47

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

48 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 SAP SE or an SAP affiliate company. All rights reserved. Public 48

Understand Big Data, powered by SAP MDG and HANA Meaningful business analytics

Provide harmonized, high quality master data through central management as well as

portfolio and SAP s in-memory technology natively integrated into SAP MDG, for big

Information related to the same physical objects or same business partners can be

dicing in big data analytics This is the current state of planning and may be

49 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 SAP SE or an SAP affiliate company. All rights reserved. Public 49

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

The clean master data from SAP MDG enables you to prepare for the next steps of your enterprise software journey.

50 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. Public 50

SAP Information Steward Product overview Discover

catalog enterprise data Rules and ownership

quality & governance Business Business users can

information governance rules and standards IT IT

users and involve them in owning the data problem

52 SAP Information Steward Product overview Discover Define Assess Monitor Improve Understand & catalog enterprise data Rules and ownership Overall data quality Quality continuously Data quality & governance Business Business users can see how their information measures up against information governance rules and standards IT IT can share data quality metrics with business users and involve them in owning the data problem 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 52

53 The wheel of data quality Great complements - SAP Data Services and SAP Information Steward Measure and analyze data through data assessment and continuous monitoring Continuous Data Quality Monitoring Information Steward Cleanse and enhance customer and operational data anywhere across the enterprise Continuous Monitoring Measure Data Assessment Match and consolidate data at multiple levels within a single pass for individuals, households, or corporations Match and consolidate, De-duplicate Consolidate Your Data Analyze Match Parse Improve Data Services Enhance Correct Standardize Data Cleansing 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 53

Data Services foundation for Information Steward Data

Information Steward Data Profiling Metadata Management Data

Information Platform Services SAP BusinessObjects BI

54 Data Services foundation for Information Steward Data Steward / Data Analyst IT / Developer IT / Administrator SAP Information Steward Data Profiling Metadata Management Data Quality SAP Data Services Data Integration Text Analytics Information Platform Services SAP BusinessObjects BI platform 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 54

55 Information Steward overview Data Profiling DQ Monitoring DQ Advisor Metadata Analysis Business Term Taxonomy Cleansing Rules Activity Tracking Data Profiling + Data Quality Assessment & Monitoring + Data Quality Advisor System landscape and architecture metadata cataloging and lineage/impact Comprehensive Business Taxonomy DQM Functionality for party and nonparty data Cleansing Packages Work list management (Match review) 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 55

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

56 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. Public 56

57 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. Public 57

Advanced profiling Redundancy Profiling Address Profiling Validate address data Dependency Profiling Identify attribute-level connections in data.

58 Advanced profiling Redundancy 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 Drill down to duplicate and nonduplicate records 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 58

Validation rules for business users One Click to Create Validation

Validation rules for business users Custom

compliance against business requirements

60 Validation rules for business users Custom Attributes for further details, better organization and custom DQ dimensions Validation Rules to enforce data quality compliance against business requirements Business User friendly (no coding) IT friendly (provides Advanced Editor for complex rules) 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 60

61 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. Public 61

62 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. Public 62

63 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. Public 63

SAP HANA Platform Traditional data integration solutions Any Source Data Movement Over Networks Transform and Persist Data Report on Data SAP Business Suite

Data Services Tables Virtual Tables Complex Event Data Source Event Streams SAP Event Stream Processor Network Devices Wired / Wireless Data Synchronization SAP

64 SAP HANA Platform Traditional data integration solutions Any Source Data Movement Over Networks Transform and Persist Data Report on Data SAP Business Suite Trigger-Based SAP Landscape Transformation Replication Server ODBC Non-SAP Data Sources Log-Based SAP Replication Server SAP HANA Cloud Sources ETL, Batch SAP Data Services Tables Virtual Tables Complex Event Data Source Event Streams SAP Event Stream Processor Network Devices Wired / Wireless Data Synchronization SAP SQL Anywhere Data Sources (HANA, IQ, ASE, Hadoop, etc ) Data Virtualization SAP HANA smart data access 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 64

Data Distribution SAP HANA Platform Simplification through native data integration solutions Any Source Move, Transform, and Persist Data Analyze Data SAP Business Suite Real-time / Batch Non-SAP

65 Data Distribution SAP HANA Platform Simplification through native data integration solutions Any Source Move, Transform, and Persist Data Analyze Data SAP Business Suite Real-time / Batch Non-SAP Data Sources Real-time / Batch SAP HANA Cloud Sources Complex Event Data Source Network Devices Wired / Wireless Real-time /Batch Event Streams Data Synchronization Data Provisioning Tables Virtual Tables Distribute Data Data Sources (HANA, IQ, ASE, Hadoop, etc ) Data Virtualization SAP & Non-SAP Data Sources (HANA, ASE, File, etc ) 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 65

Adapter Framework SAP HANA smart data integration Tables Native Integration Capabilities Supports all styles of data delivery SAP HANA Federation Tables Virtual Tables Batch Real

Development Workbench Data Provisioning Agent TCP/IP or HTTPS Open framework Out of the box adapters for common sources Open SDK for customers and partners to build custom

66 Adapter Framework SAP HANA smart data integration Tables Native Integration Capabilities Supports all styles of data delivery SAP HANA Federation Tables Virtual Tables Batch Real Time (not all data sources) Architected for on premise, cloud or hybrid deployments Data Provisioning Server On premise or Web Based Design Tools HANA Studio HANA Web-based Development Workbench Data Provisioning Agent TCP/IP or HTTPS Open framework Out of the box adapters for common sources Open SDK for customers and partners to build custom adapters ECC, ASE, HANA 3 rd party DB Adapters HIVE adapter Twitter, Flat file.. RDBMS On-premise and Cloud sources of data 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 66

67 SAP HANA smart data integration Architecture TCP/IP (SSL) The data provisioning server and data provisioning agent are components of SAP HANA smart data integration SAP HANA Sources Source protocol TCP/IP (SSL) Port: 5050 Data Provisioning Server C++ Adapters Index Server SAP HANA XS Sources Source protocol Data Provisioning Agent Java Adapters Monitoring Configuration Tool 2015 SAP SE or an SAP affiliate company. All rights reserved. Public 67

SAP Master Data Governance Overview. May 2014 including SAP Master Data Governance 7.0 SP02 (Feature Pack)

SAP Master Data Governance Overview May 2014 including SAP Master Data Governance 7.0 SP02 (Feature Pack) Master Data Challenges Materialize Across the Organization Reduced Sales Effectiveness Lack of