SAP BusinessObjecrss Business Analytics Solutions for Retail

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1 리얼타임리테일분석을위한빅데이터분석및활용방안 박경도 (BI/D&T) Jun 26, 2012

2 성공적인리테일회사들은 독특하고차별화된제품과서비스를고객에게제공함으로써수익성보장을통한지속적인성장을가능하게함 실천 : 다양하고동적인고객의요구사항을이해하고예측 운영비용을감소 올바른의사결정을통한원가비용관리 결과 : 고객만족향상및교차판매비중증대 운영프로세스및기능의향상 재고투자에대한총마진수익 (ROI) 을극대화 2012 SAP AG. All rights reserved. 2

3 실시간데이터분석방식을통한비즈니스활성화 이해 결정 실행 언제어디서나제품및고객정보에대한접근성확보 판매, 재고, 판촉및인건비정보를실시간으로통합 예외사항에대하여신속하게근본원인을식별 계획과성과목표에대한측정항목정의 비즈니스에미치는영향, 모델을이해하고미래의방향을예측 능동적으로위험과기회에대한균등분배 매출증대를위한프로모션이벤트를즉시활용 결정된행동에벤더들이적극적으로동참하도록벤더와협업 모범사례를적용하고지속적으로향상할수있도록매장상품을분류 2012 SAP AG. All rights reserved. 3

4 유연한리테일시장을접근을위한 SAP 의 Business Analytics Solution Industry & LoB Packaged Analytic Applications Embedded Analytics Custom Analytic Applications 베스트프렉틱스및이를기반으로확장, 최적화가유연하게이루어질수있게통합기능을제공하여신속한구현이가능 빠른비즈니스의사결정을위하여트랜젝션리포팅과의통합 각산업의고유한요구를충족하는비즈니스분석플랫폼 2012 SAP AG. All rights reserved. 4

리테일시장에대한 Business Analytics Application 전략 판매 공급망마케팅매장관리재무 Improve Performance Operate Efficiently Promote Effectively Increase Sales Manage Risk 리테일시장에대한영업분석

5 리테일시장에대한 Business Analytics Application 전략 판매 공급망마케팅매장관리재무 Improve Performance Operate Efficiently Promote Effectively Increase Sales Manage Risk 리테일시장에대한영업분석 공급망성과관리 이벤트인사이트 매장관리및인력계획 경영계획및통합 GTS (Global Trade Services) 운송원가관리 프로모션및상품분석 마진분석 리스크관리 인포메이션스튜워드 수익성및비용관리 펄스 (Pulse) 분석 지속가능성과관리 전략관리 2012 SAP AG. All rights reserved. 5

6 2012 SAP Business Analytics 주요전략 1 빅데이터시대대응전략 기업환경의대용량데이터대응 정형 / 비정형등다양한형태의빅데이터에대한기업정보차원의대응 의사결정및프로세스속도향상으로비즈니스생산성향상 2 Mobile BI BI 환경의접근성극대화 모바일의특성을활용한시간적 / 공간적제약을극복하는 BI 사용환경구축 빠른조회및의사결정으로인한프로세스속도향상 3 Predictive Analysis 예측 Insight 제공 오픈소스적용으로기업내다양한영역에서예측경영환경구성 빅데이터와연계된예측가능 2012 SAP AG. All rights reserved. 6

7 Big Data Analytics 의필요성 IT 기술의발전과모바일환경확대로새로창출되거나소비되는정보의양이폭발적증가 인터넷으로대표되는디지털공간의활동의일상화 스마트폰을위시한모바일기기의보급확대로인하여정보의확산과축적이가속화 이에따라기아급수적으로늘어나는경영관련정보를분석하기위해서는기존의방식으로불가능 데이터크기 大 Big Data 분석 기존의경영정보는대부분기업활동과관련된내부정보에집중 Big Data 에는기존분석환경으로는파악하기어려운잠재적인정보들이내포 小低 기존분석 高 구조화수준 2012 SAP AG. All rights reserved. 7

8 Big Data Analytics In-database/memory Analytics R engine + PAL(Predictive Analysis Library) on HANA Predictive Analysis on HANA Industry / LOB apps adopt analytics ERP embedded BusinessObjects CRM with Netbase OEM Product Predictive Workbench Palantir Netbase 2012 SAP AG. All rights reserved. 8

Big Data Analytics 실시간분석에기반한실행 최적의비즈니스실행결정

9 Big Data Analytics 실시간분석에기반한실행 최적의비즈니스실행결정 실시간비즈니스통찰과의사결정지원으로급변하는시장상황에대응 SAP 의인메모리를통해실제운영데이터의실시간분석가능 의사결정을보조하기위한통찰제공 결합 : 구조화된분석 & 행동분석및패턴분석 기존의업무환경에빅데이터의장점통합 기존대시보드, 리포트및 BI 와 OLAP 과통용 빅데이터전용 LOB 어플리케이션프로세스통합 모바일등디바이스대응 2012 SAP AG. All rights reserved. 9

10 Big Data Analytics SAP Big Data Processing Framework SAP 는빅데이터처리를위한각단계별로솔루션을제공합니다. 1) 데이터의가치부가 : 속도민감성, 소요자원 ( 저장 vs. 분석 ) 및동시성요구사항에따른옵션제공 2) 비즈니스속도의극적인향상 : 데이터쿼리속도뿐아니라데이터마이닝, 예측분석, 계획최적화의가속및운영계성능극대화 3) 비즈니스지연감소 : 데이터이동과변환에있어서리얼타임 / 배치처리의옵션제공 SAP Big Data Processing Framework SAP Mobile Applicatoin, Sybase Unwired Platform 표현 SAP BusinessObjects BI 솔루션 SAP 어플리케이션 (ERP, CRM, SCM,...), SAP DW 처리 Sybase ESP 스트림 & 이벤트처리 Sybase ASE 트랜잭션처리 SAP HANA 인메모리컴퓨팅엔진 Sybase IQ 분석엔진 Hadoop MapReduce Batch Compute Framework 저장 DB 엔진 DB 엔진 DB 엔진 Hive/HDFS 수집 Sybase ESP 스트림 & 이벤트 모니터링 / 필터링 Sybase Replication Server, SAP BusinessObjects 데이터서비스 (Integrate / synchronize data across deployment options) 반정형데이터정형데이터비정형데이터 2012 SAP AG. All rights reserved. 10

Mobile Analytics Mobile BI Value Simple & Speed

능동적인참여개방형 BI 제공 - 경영현황조회에서상황파악및관련지시까지 사용자중심의 BI

- 기존 BI 기술활용, 모바일환경활성화 모바일 BI 고려사항 1 2 3 4 5 전사

12 Mobile Analytics Mobile BI Value Simple & Speed Real-Time Enterprise 의실현 - 장소, 시간에구애받지않는실시간의사결정지원 능동적인참여개방형 BI 제공 - 경영현황조회에서상황파악및관련지시까지 사용자중심의 BI 환경제공 - 사용사선호기기에서 BI 정보액세스 빠른가치실현이가능한 Quick-Win 과제 - 기존 BI 기술활용, 모바일환경활성화 모바일 BI 고려사항 전사 Mobile 전략과연계된 Mobile BI 고려 Mobie BI 구성의용이성 ( 기존 BI 환경과의연계 ) 경영관리를포함하는 BI 확장영역의모바일화업무영역모바일로의확장성전사모바일어플리케이션및기기관리통합 2012 SAP AG. All rights reserved. 12

13 Mobile Analytics 의주요기능 비즈니스분석컨텐츠에대한셀프 - 서비스를즉시활용 스마트검색과탐색 Streamwork 를통한관련담당자들과협업 Sybase Unwired Platform 과 Afaria 의연계 증강현실및위치기반의분석환경제공 (Google maps) Explorer 를통한빅데이터활용 운영환경에서시간에민감한비즈니스상황에대한검토및승인 2012 SAP AG. All rights reserved. 13

COMPETIVE ADVANTAGE Predictive Analysis Big Data 처리기술과표준툴의등장으로재조명 예측분석은전문벤더를중심으로일부영역에적용되었으나기술적 / 대중적제약으로확장되지못하였으나최근 Big Data 처리기술의발달과예측분석을위한표준툴의등장으로다시각광받고있는영역 Sense & Respond Raw Data Generic

What is the best that could happen? What will happen? 과거 Predictive Analysis 한계 SPSS, SAS 등 Vendor 종속적인 Tool (No Industry Standard) 일부전문가에의한구현과고가의유지보수비용 대량데이터에대한처리의한계 ( 저장및분석처리시간시간 ) 일부영역에만적용.

15 COMPETIVE ADVANTAGE Predictive Analysis Big Data 처리기술과표준툴의등장으로재조명 예측분석은전문벤더를중심으로일부영역에적용되었으나기술적 / 대중적제약으로확장되지못하였으나최근 Big Data 처리기술의발달과예측분석을위한표준툴의등장으로다시각광받고있는영역 Sense & Respond Raw Data Generic Predictive Ad Hoc Analytics Reports Standard & Cleaned Reports OLAP Data ANALYTICS MATURITY Predictive Modeling What happened? Predict & Act Optimization Why did it happen? What is the best that could happen? What will happen? 과거 Predictive Analysis 한계 SPSS, SAS 등 Vendor 종속적인 Tool (No Industry Standard) 일부전문가에의한구현과고가의유지보수비용 대량데이터에대한처리의한계 ( 저장및분석처리시간시간 ) 일부영역에만적용. 확산및대중화실패 Big Data Technology Industry Standard 최근 Predictive Analysis 경향 R 등 Open Source 중심의업계표준확산 SAP, IBM, Oracle 등 Major Vendor 의 R 수용및상용화 Hadoop, In-memory 등대량데이터 (Big Data) 에대한처리기술의발달 ( 저장및분석처리시간 ) 예측분석시장재편성. 다양한영역으로확산및대중화 2012 SAP AG. All rights reserved. 15

Predictive Analysis SAP Predictive Analysis Framework 1) HANA DB와 SAP BO Predictive

Predictive Analysis는 HANA 및 R을지원하여다양한 Algorithm 적용및 Data Visualization 을구현 BI 서버 (SAP

Predictive Analysis) Data Mining Data Visualizatio n Data Warehouse R Engine ( 통계 & Mining 엔진 )

16 Predictive Analysis SAP Predictive Analysis Framework 1) HANA DB와 SAP BO Predictive Analysis를중심으로예측분석을위한솔루션으로구성 2) HANA안에는 R과의연동및내장된 Predictive 함수를이용하여 Big Data에대한매우빠른 분석이가능 3) Predictive Analysis는 HANA 및 R을지원하여다양한 Algorithm 적용및 Data Visualization 을구현 BI 서버 (SAP BusinessObjects) 다차원분석정형리포팅대쉬보드 Office 기반고급분석 인메모리 Adhoc Mobile HANA Appliance 분석엔진 (SAP Predictive Analysis) Data Mining Data Visualizatio n Data Warehouse R Engine ( 통계 & Mining 엔진 ) Expert Knowledge Management Hybrid Model ETL (SAP Data Services) 연동모듈 Legacy ERP 및기타 Legacy Parameter 2012 SAP AG. All rights reserved. 16

18 Critical Moments of Engagement Mobility Data In ERP Systems of Record CRM PLM Processes Collaboration Analytics Systems of BI Engagement DW Planning Data Out Transactional Database ETL Data Warehouse Hana Data Mart Social Hadoop

19 SAP BusinessObjects BI 4 의이노베이션 Critical Moments of Engagement Systems of Record Mobility Collaboration Systems of Engagement 모바일 Explorer, Crystal Reports, Webi 빅데이터 Hadoop Hive and Hana 운영 BI SAP ERP 를이용 협업 SAP StreamWork 데이터탐색 Explorer, Visual Intelligence Transactional Database SAP HANA Social Hadoop 소셜미디어 SAP Social Media Analytics 2012 SAP AG. All rights reserved. 19

6C 이상필요 SAP Crystal Reports SAP BusinessObjects Dashboards SAP BusinessObjects

20 운영 BI SAP ERP 로부터 BI 구현 DW없이신속하고다양한리포팅환경제공 모든클라이언트툴을지원하는새로운유니버스 SAP ERP InfoSets, InfoSet 쿼리, ABAP 함수사용가능 SAP ERP R/3 4.6C 이상필요 SAP Crystal Reports SAP BusinessObjects Dashboards SAP BusinessObjects Explorer SAP BusinessObjects Web Intelligence 유니버스 ABAP 프로그램 InfoSet InfoSet 쿼리 2012 SAP AG. All rights reserved. 20

23 SAP Social Media Analytics by NetBase Listen to Facebook, Twitter, Blogs 감정의정확한실시간이해 프로모션및실행추적 경쟁력있는인텔리전스 브랜드및위험관리 서비스향상 250M Tweets / day 900M Users 100M Reviews 2012 SAP AG. All rights reserved. 23

26 Thank You!

27 2012 SAP AG. All rights reserved No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP AG. The information contained herein may be changed without prior notice. Some software products marketed by SAP AG and its distributors contain proprietary software components of other software vendors. Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Microsoft Corporation. IBM, DB2, DB2 Universal Database, System i, System i5, System p, System p5, System x, System z, System z10, System z9, z10, z9, iseries, pseries, xseries, zseries, eserver, z/vm, z/os, i5/os, S/390, OS/390, OS/400, AS/400, S/390 Parallel Enterprise Server, PowerVM, Power Architecture, POWER6+, POWER6, POWER5+, POWER5, POWER, OpenPower, PowerPC, BatchPipes, BladeCenter, System Storage, GPFS, HACMP, RETAIN, DB2 Connect, RACF, Redbooks, OS/2, Parallel Sysplex, MVS/ESA, AIX, Intelligent Miner, WebSphere, Netfinity, Tivoli and Informix are trademarks or registered trademarks of IBM Corporation. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Adobe, the Adobe logo, Acrobat, PostScript, and Reader are either trademarks or registered trademarks of Adobe Systems Incorporated in the United States and/or other countries. Oracle is a registered trademark of Oracle Corporation. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. Citrix, ICA, Program Neighborhood, MetaFrame, WinFrame, VideoFrame, and MultiWin are trademarks or registered trademarks of Citrix Systems, Inc. HTML, XML, XHTML and W3C are trademarks or registered trademarks of W3C, World Wide Web Consortium, Massachusetts Institute of Technology. Java is a registered trademark of Sun Microsystems, Inc. JavaScript is a registered trademark of Sun Microsystems, Inc., used under license for technology invented and implemented by Netscape. SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects Explorer, StreamWork, and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in Germany and other countries. Business Objects and the Business Objects logo, BusinessObjects, Crystal Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business Objects products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Business Objects Software Ltd. Business Objects is an SAP company. Sybase and Adaptive Server, ianywhere, Sybase 365, SQL Anywhere, and other Sybase products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of Sybase, Inc. Sybase is an SAP company. All other product and service names mentioned are the trademarks of their respective companies. Data contained in this document serves informational purposes only. National product specifications may vary. The information in this document is proprietary to SAP. No part of this document may be reproduced, copied, or transmitted in any form or for any purpose without the express prior written permission of SAP AG. This document is a preliminary version and not subject to your license agreement or any other agreement with SAP. This document contains only intended strategies, developments, and functionalities of the SAP product and is not intended to be binding upon SAP to any particular course of business, product strategy, and/or development. Please note that this document is subject to change and may be changed by SAP at any time without notice. SAP assumes no responsibility for errors or omissions in this document. SAP does not warrant the accuracy or completeness of the information, text, graphics, links, or other items contained within this material. 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 shall have no liability for damages of any kind including without limitation direct, special, indirect, or consequential damages that may result from the use of these materials. This limitation shall not apply in cases of intent or gross negligence. The statutory liability for personal injury and defective products is not affected. SAP has no control over the information that you may access through the use of hot links contained in these materials and does not endorse your use of third-party Web pages nor provide any warranty whatsoever relating to third-party Web pages SAP AG. All rights reserved. 27

Omni Channel Commerce 동향 및 사례

Omni Channel Commerce 동향 및 사례 옴니채널실현을위한 전자상거래플랫폼 (hybris) 전략 SAP 서비스사업부김태훈이사 목 차 I. 전자상거래시장현황 상거래시장에서전자상거래시장으로의변천전자상거래시장의진화 : 옴니채널전자상거래시장의인프라구축현실 II. SAP 의협업을위한제안 SAP hybris : 플랫폼베이스의전자상거래목표시장 SAP hybris : 전자상거래협업을비즈니스모델 III. 왜 SAP