1	ARTS Update ARTS Standards – Building Blocks for: SOA MDM E-commerce
2	Agenda Welcome and Introductions Richard Mader - ARTS ARTS 2006 Accomplishments Master Data Management Cathy Mullis - Shell (Selecting and Implementing) SOA and Standards SAP Perspective Tim Hood – SAP Oracle Perspective Jerry Rightmer - Oracle Comparison Shopping Engines Steven Roth - Channel Intelligence Plans for 2007 Richard Mader - ARTS Q&A
3	Membership Members 184 Total 46 New in 2006 41 Cancelled 112 Vendors 72 Retailers 42% International
4	2006 Accomplishments ARTS XML (formerly IXRetail) Comparison Shopping Engine (CSE) Product Content Management (PCM) Notification Event Architecture for Retail (NEAR) POSlog 2.2 Announcing Today POSlog for Foodservices
5	2006 Accomplishments Requests for Proposal (RFPs) Master Data Management (MDM) Fully related to the Data Model Key to SOA and Data Syncronization Major Update to POS BIG Ideas Session (Tues. 11am EXPO HALL, 3D-05)
6	What New in POS and Selecting the “Right” Solution 4^th Annual RIS – IHL POS Survey Joe Skorupa and Greg Buzek Updated NRF-ARTS POS Request for Proposal Ann McCool and Richard Halter “How to” operate effective RFP Projects Dan Gray and Dennis Driscoll
7	2006 Accomplishments Data Model Release 5.1 New Modification tracking software “Gemini” Standard Data Warehouse project launch
8	2006 Accomplishments UnifiedPOS Release 1.11 RAPOS – defined WAMPOS WSPOS XMLPOS
9	2006 Accomplishments Supporting Events: SOA Boot Camp – January 31, 2007 Orlando Fl. USA/Japan Leadership Forum Technology Summit – London
10	ARTS Standards Pavilion Booth 2115
11	Master Data Management Cathy Mullis - Retail Data Architect, Shell
12	Master Data Master Data describes objects that drive the business, such as products, vendors/suppliers, stores, distribution centers, customers supports operational data, which documents activities or transactions that are created while doing business Master Data Management Is the process of creating and updating information according to rules and procedures, ensuring quality standards Is supported by an accurate, timely “system of record” for the core master data elements
13	Key Elements of MDM A business process that documents who, when, where and how data is managed Quality standards to which the data can be held
14	Key Elements of MDM - IT An MDM application or suite of applications that is dedicated to managing master data A scorecard that measures the execution of business process, the effectiveness of the organization and the quality of data A data architecture or integration strategy that ensures “data synch” or data consistency across all applications
15	Benefits of MDM Tool Business benefits Enables automated, scheduled data synchronization Reduced effort to reconcile different versions of similar data Consolidation after mergers and acquisitions Ability to audit the process and data IT benefits Reduced effort to consolidate information Reduced effort to synchronize various copies Less complicated IT landscape
16	ARTS RFP As mentioned earlier, ARTS offers several standard Requests For Proposal. The ARTS RFPs provide a range of standard requirements for a particular subject area. The user can tailor the RFP by adding or removing requirements as needed.
17	MDM RFP Includes requirements to provide standard and allow customized functionality that: enforce data quality rules perform data cleansing perform import / export of data support integration and synchronization with other applications support workflow, e.g. multiple steps and players in the process of managing data provide robust reporting
18	SOA and Standards Tim Hood – VP Solutions Management, SAP Jerry Rightmer – VP Store Solutions, Oracle
19	SOA and Standards SAP Perspective Tim Hood Vice President, Solution Management Store & Multi Channel SAP AG
20	What Is a Service Oriented Architecture (SOA)? Enablement: Application Systems expose their functionality as services based on open standards Consumption: A process, application, or program that is designed to make one or more service calls to execute functionality exposed as web services (as opposed to hard coded interfaces calls) Business value and ROI: Flexibility and rapid development through standardization and reuse – frees up IT resources Ease of adapting existing processes to utilize new services – rapid response to market forces and continuous process improvement
21	Service Oriented Architecture SOA is essential but missing business semantics
22	Enterprise SOA A head start with your business process platform
23
24	Flexibly Compose Processes Technology platform enriched with application functionality
25	Platform for Co-Innovation A community of partners built around the platform
26	ARTS XML Adoption by Scenario
27	SOA and Standards Oracle Retail Jerry Rightmer Vice President, Store Solutions
28	Retailer business processes have evolved…
29	Services Simply the Enterprise Reusable business logic Reduce maintenance costs Provide consistency Enable alternate delivery of information Fits within larger process Application transparency Process Improvement
30	The Oracle SOA Platform
31	SOA Value
32	Leading SOA and EDA for Retail
33	Oracle Standards Participation
34	Facilitating E-Commerce with CSE Standards Steven Roth Vice President of Product Management Channel Intelligence, Inc.
35	Channel Intelligence
36	Channel Intelligence
37	Comparison Shopping Engines CSEs are product search engines used to drive traffic to retailer sites General Audience: Shopping.com, Kelkoo, PriceGrabber, Shopzilla, NexTag, Yahoo! Shopping, MSN Shopping, Ciao Targeted Audience: Gifts.com, CNET Shopper, HealthPricer One in three Internet shoppers visits a CSE in a typical month About 100 CSEs exist in the U.S. and Europe Most use a cost-per-click (CPC) pricing model
38	Comparison Shopping Engines The Problem: 54% of online retailers do not use CSEs, up from 26% the previous year Retailers that use CSEs frequently experience data and/or performance issues Data exchange is complex due to differences in the requirements for each CSE Effective data feed management is expensive The ROI is difficult to measure
39	Data Sources for CSEs
40	The ARTS CSE Standard Introduced in Q3 2006 to facilitate the data exchange between online retailers and comparison shopping engines (CSEs) 3 XML-based standards Delivery of product data to CSEs Error reporting from CSEs to retailers Click cost reporting from CSEs to retailers
41	CSE Domain Model
42	Benefits to Retailers Improved ROI Click cost reporting will create transparency ROI can be measured and controlled Reduced IT expenses A single product feed could be used to advertise on dozens of CSEs Less time spent troubleshooting data feed errors Extensible structure for custom data requirements
43	Benefits to CSEs Increased revenue More retailers will use CSEs because of the ability to measure and control the ROI Reduced IT expenses Data feeds from retailers will use a consistent format Retailers will be respond faster to data errors due to the improved communication of these data issues
44	Benefits to Third Parties Increased revenue Data standards allows third parties to focus on new value-added services More retailers will outsource data services to third parties for these value-added services Profitability analytics tools Automated bid management Real-time data delivery
45	Benefits to Third Parties <?xml version="1.0" encoding="UTF-8"?> <CSE xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.nrf-arts.org/IXRetail/namespace/ ../Schema/CSEV1.0.0.xsd" xmlns="http://www.nrf-arts.org/IXRetail/namespace/" FixVersion="0" MajorVersion="1" MessageType="Response" MinorVersion="0" ActionCode="Replace" SuccessfulReadFlag="true"> <MessageID>1</MessageID> <DateTime>2006-09-29T09:30:47.0Z</DateTime> <Response ResponseCode="OK"> <RequestID>2</RequestID> <ResponderID>9999</ResponderID> </Response> </CSE>
46	Next Steps Adoption of the standard by CSEs and retailers Refinement of the standard to address any weaknesses identified by widespread use Expansion of the standard to include: Support for online marketplaces like Amazon Integration of product orders and order status between online marketplaces and order processing systems CSEs that drive consumers to brick-and-mortar stores
47	Plans for 2007 Data Model Data Warehouse Release 5.2 Enumerations RFPs CRM WFM – Update, Thanks to C-Core Your request's)
48	Plans for 2007 ARTS XML New Schemas Vendor Scale Management ProCon Existing Schema Clean-up Common Data Data Model Synchronization Logical Grouping (Message Sets)
49	Plans for 2007 Special Projects SOA Blueprint for Retail Standard Services for Retail SOA Consolidated Meta Data Dictionary Data Model ARTS XML RFPs
50	2007 Events Continues SOA and RFP Education sessions Technology Summit, Europe USA-Japan Leadership Forum Network Dinners European Technology Council
51	Up Coming Meetings UnifiedPOS – Feb. 6 – 8 host BearingPoint Atlanta, GA May 22 – 24 host NRF Washington DC August host Epson Long Beach CA November host IBM Raleigh NC ARTS XML and Data Model Feb. 19 - 21 host SAP Phoenix AZ May TBD August host NRF Washington DC October TBD November TBD
52	WWW.NRF-ARTS.ORG Download Data Model ARTS XML Schemas RFPs Learn Meeting/Event schedule and registration What’s New Articles Newsletters
53	Q & A