Roadmap von SAP BW auf HANA und SAP S/4HANA

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1 Roadmap von SAP BW auf und SAP S/ Atos - For internal use

2 99,5% Die Menge an Daten die aktuell in Organisationen nicht genutzt werden Quelle: Bain & Co, February 2015

3 Entwicklung von Unternehmen die Daten nutzbringend einzusetzen Was passierte in der Vergangenheit? Warum passierte es? Was wird passieren? Was machen wir? Desriptive Diagnostic Predictive Prescriptive

4 Die Treiber werden analytische Services. Analytische Auswertungen Analytische Auswertungen Business Apps Business Apps Business Applikationen Analytische Auswertungen Analytische Auswertungen Analytische Auswertungen Business Apps Business Apps Aktuelle Situation Zukünftige Situation

5 apps SAP Schlagwörter BW on Live FIORI 7

Business Warehouse None Any DB Wählen Sie die Richtung A B D None Any DB SAP ERP D C B + + Keine Migration nötig - Keine neuen Innovationen von SAP - Langzeit Instandhaltung?

6 Business Warehouse None Any DB Wählen Sie die Richtung A B D None Any DB SAP ERP D C B + + Keine Migration nötig - Keine neuen Innovationen von SAP - Langzeit Instandhaltung? - Performanceprobleme bleiben A B C + Neue Big-Data Integration + Performance-Boost + Wiederverwendung von existierenden Investitionen + Erster Schritt zu + In-memory Performance für ERP & DWH + Wiederverwendung von existierenden Investitionen + Lastausgleich im ERP/DWH - Keine Konsolidierung der IT-Landschaft B + + Embedded BW: Leistung & Funktionen + Konsolidierung der IT-Landschaft - Migration von BW in ERP + Konsolidierung der IT-Landschaft + Echtzeit Operational-Reporting - Keine DWH Funktionalitäten - Analytische Anwendungen bspw. Planung müssen migriert werden 8

7 Roadmap zu Szenario A: BW auf Any DB A 9

Optimization Gate 4 Live on SAP BW on Step 1 Step 2 Step 3 Step 4 Tasks: Pre-Requisite Checks eg.

8 BW zu Migration Service Packet Turn your business challenges into business opportunities. If you can measure your business you can improve it Migration Workshop with Customer Gate 1 BW- Housekeeping with general checks and preparation of Migration Gate 2 Technical Migration Gate 3 Optimization Gate 4 Live on SAP BW on Step 1 Step 2 Step 3 Step 4 Tasks: Pre-Requisite Checks eg. Migration Checklist Coding Report Sizing Report Creation of Migration plan Output: Define migration strategy Define testing strategy Fixprice-Offer for Step2 (Housekeeping) and Step 3 (technical Migration) Optional: Consultancy HW-configuration Consultancy HW-Purchasing and SW-Licensing Tasks: defined Housekeeping activities at FP re-run Sizing Report Output: System Cleanup Data Reduction Decrease Sizing complete Migration at FP Migration from relational DB to Coding adjustment based on coding report Testing Output: all BW functionalities run as before migration faster performance on Dataloading and reporting Conversion to optimized dataflow based on T&M Initial workshop incl. strategy and migration plan in fixed price Offering. 10

9 Migrations Möglichkeiten Greenfield: Aufbau von neuen Strukturen und BW Architekturen In Place Migration: Niedriger Migrationsaufwand, aber höheren Risiken Copy, Upgrade & Migrate: Niedrige Migrationsrisiken mit hohen Kosten und langer Migrationsdauer 11

10 BW on Data Model Optimization InfoCubes sind notwendig Nicht unterbrechbare Migration von BW auf Nicht kumulative Kennzahlen Komplexe Geschäftslogik BW Integiererte Planung Echtzeit Reporting on DOSs 12

BI Virtualisierung: Der Ansatz von SAP BI Architektur wird sich stark vereinfachen und eliminiert Redundanz Verringerung der Reporting Latenz Vereinfachung des

11 BI Virtualisierung: Der Ansatz von SAP BI Architektur wird sich stark vereinfachen und eliminiert Redundanz Verringerung der Reporting Latenz Vereinfachung des Datenflusses, direkte Kalkulationen in Erweiterungen: Neue Algorithmen bspw. für Predictive Analytics Zwei Optionen dieser Strategie mit Business Warehouse und direkt auf der DB 13

12 Roadmap von Szenario C: ERP, kein BW C 14

13 SAP BO ERP, kein BW FIORI Launchpad Analytical Frontend Crystal Reports Design Studio Analysis WebIntelligence Lumira Built-In BI Applications Multidimensional Reports Query Browser KPI Modeler dependent on ERP release Analytical Apps XS Engine (Web Resources and odata Services) Analytical Backend (virtual tables) SAP Query Views Customer Views Reuse Views Customer Views Private Views Operational Systems NON- SAP any DB SLT (physical tables new data models ACDOCA MATDOC) SAP ERP 15

SAP virtuelles Datenmodell Virtual Data Model wird direkt auf der DB erstellt und konfiguriert Direkter Zugriff auf physische und virtuelle Tabellen Einsetzbarkeit zusätzlicher Applikationen wie SAP

14 SAP virtuelles Datenmodell Virtual Data Model wird direkt auf der DB erstellt und konfiguriert Direkter Zugriff auf physische und virtuelle Tabellen Einsetzbarkeit zusätzlicher Applikationen wie SAP BO Data Services als EDWL Tool Modellierung im SQL Standard, eigenes Transport- & Berechtigungswesen Restriktionen in der Nutzung bekannter SAP BI Funktionalitäten (bspw. Planung, Stammdatenmodellierung, ) 16

15 Roadmap zu Scenario B: ERP und BW auf Any DB A B

16 SAP BO BW auf und ERP auf FIORI Launchpad Analytical Frontend Crystal Reports Design Studio Analysis WebIntelligence Lumira Built-In BI Applications Multidimensional Reports Query Browser KPI Modeler dependent on ERP release Analytical Apps Business Warehouse Analytical Backend Business Query Virtual Provider Smart Data Acess (virtual tables) CDS Views Native Data Mart Operational Systems NON- SAP any DB EDWL Core Operational Data Store SAP ERP (physical tables new data models ACDOCA MATDOC) 18

Virtualisierung von den Datenmodellen SAP BW

Nutzung von neuen SAP BI Objekten (SAP BW 7.

17 Virtualisierung von den Datenmodellen SAP BW verbleibt als zentraler Reporting Zugang Virtualisierung der ERP Datenmodelle für das Echtzeit Reporting Externe Datenfluss verbleibt Nutzung von neuen SAP BI Objekten (SAP BW 7.4 SP8) Modellierung von Composite Provider in SAP Studio: 19

18 Roadmap von Szenario B+: Embedded BW All-in One Any DB a) A B B + 20

System Backend Embedded BW Analytical Backend Business Query Virtual Provider (virtual tables) CDS Views Native Data

19 SAP BO Big Picture Architektur FIORI Launchpad Analytical Frontend Crystal Reports Design Studio Analysis WebIntelligence Lumira Built-In BI Applications Multidimensional Reports Query Browser KPI Modeler Analytical Apps System Backend Embedded BW Analytical Backend Business Query Virtual Provider (virtual tables) CDS Views Native Data Mart Operational Systems NON- SAP any DB EDWL Core Operational Data Store SAP ERP (physical tables new data models ACDOCA MATDOC) 21

ThyssenKrupp Accelerated and integrated finance reporting with SAP BW on Business Challenge Solution Improvement of the final preparations easy and transparent Handling of group-wide relevant

20 ThyssenKrupp Accelerated and integrated finance reporting with SAP BW on Business Challenge Solution Improvement of the final preparations easy and transparent Handling of group-wide relevant financial and controlling data within a central system for data processing and reporting Provisioning of near real-time data for total records and single documents in full detail Comprehensive reporting on the basis of large amount of data for complex analysis Implementation of an Enterprise Data Warehouse based on the innovative inmemory technology SAP for evaluation of group-wide financial and controlling data SAP optimized data flows for ad-hoc data update out of the previous systems One cockpit as a front-end for the entire data processing control ThyssenKrupp AG is a German multinational conglomerate corporation based in Duisburg and Essen, Germany. The corporation consists of 670 companies worldwide. While ThyssenKrupp is one of the world's largest steel producers, the company also provides components and systems for the automotive industry, elevators, escalators, material trading and industrial services. Benefits High-performance multidimensional analysis of group-wide data based on all relevant corporate dimensions down to the level of individual documents (e.g. management structure, countries, customers, ) Independent processing of the data by company users using a central front-end for automated loading, registering, reposting and validating Complete transparency about the specific company status during the entire final preparations The innovative character of this in-memory solution enables the administration and the usage of mass data (Big Data) and additionally builds the basis for the use of future-oriented technologies 22

Open Grid Europe SAP BW on Proof of Concept (PoC) Business challenges Higher requirements towards the current SAP Business Intelligence (BI) architecture of Open Grid Europe (OGE) Optimization of

largest transportation network that is approx. 12,000 km in length. The customer s staff of around 1,800 combine decades of experience in technology, operation and marketing.

Modeling of selected scenarios, with regard to a performance optimization through technology, on Atos internal systems (SAP BW on and SAP BW reference system with relational database) Measurement and

21 Open Grid Europe SAP BW on Proof of Concept (PoC) Business challenges Higher requirements towards the current SAP Business Intelligence (BI) architecture of Open Grid Europe (OGE) Optimization of data loading process and reduction of loading times to fulfill regulatory framework conditions and prevent increasing data volume Open Grid Europe, with its head office in Essen, operates Germany's largest transportation network that is approx. 12,000 km in length. The customer s staff of around 1,800 combine decades of experience in technology, operation and marketing. Solution Evaluation of possible fields of application of a SAP BW on system within the SAP BI landscape of OGE Support with the identification, composition and description of suitable scenarios Modeling of selected scenarios, with regard to a performance optimization through technology, on Atos internal systems (SAP BW on and SAP BW reference system with relational database) Measurement and analysis of processing speed on both systems Presentation of the resulting validations and recommendations in a PoC-document (e. g. technical properties of as well as comparison and interpretation of measurements) Execution of a sizing analysis Benefits Decision reliability based on a Proof of Concept Presentation of value and assessment of advantages of SAP BW on within the enterprise Ensuring major flexibility, better performance and higher processing speed by using 23

22 Danke Atos, the Atos logo, Atos Consulting, Atos Worldgrid, Worldline, BlueKiwi, Bull, Canopy the Open Cloud Company, Yunano, Zero , Zero Certified and The Zero Company are registered trademarks of the Atos group. May Atos. Confidential information owned by Atos, to be used by the recipient only. This document, or any part of it, may not be reproduced, copied, circulated and/or distributed nor quoted without prior written approval from Atos Atos - For internal use

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