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Master Data Management
Pascal LaikVP Master Data Management ProductsOracle
Eva LarsonIT Data QualityZebra Technologies Corporation
The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
MDM ROI & Sample use cases
Product Announcements
Oracle MDM Solution differences
Agenda
Categories of MDM Benefits we have benchmarked from our customers implementations
GROWTHImprove CRM
performance to increase revenue and market share
EFFICIENCYOperational
efficiency across multi-functions of an
enterprise
IT AGILITYIncrease IT
resiliency in a changing business
landscape
COMPLIANCEReduce operational
risk and improve regulatory
compliance
CUSTOMERS ON AVERAGE GENERATED 2%-5% INCREASED REVENUE FROM SALES WITH MDM
EFFICIENCY OF OPERATIONS INCREASE WITH IMPROVED PROCESSES AND DATA GOVERNANCE
EFFICIENCY OF IT OPERATIONS RESULTING IN GREATER AGILITY OF BUSINESS MODELS
EFFICIENCY OF IT OPERATIONS RESULTING IN GREATER AGILITY OF BUSINESS MODELS
Growth
Why:Why:Why:
What:What:What:
So what:So what:So what:
Unified sales, customer service and self service processes
Live on single view of customers using OracleCustomer Hub to feed call center, case management and marketing application
Increased Up/X-sell by 9%Reduced marketing costs by 19%Increased call center productivity
by 24%
Diversified European Financial Institution
Enable loyalty program, drive up-sell and empower self service
Oracle Customer Hub along with Siebel CRM
Improved marketing response resulting in increased gift card order sales by 5%
Increased sales from loyalty cards customers by 1%
Large US groceryretail chain
© 2006 Oracle Corporation
Efficiency & IT Agility
Why:Why:Why:
What:What:What:
So what:So what:So what:
Streamline global supplychain and provide an acquisition platform
Live on Oracle Customer and Product Hub integrated with 11 ERP systems with no disruption
Improved inventory levels by 5%Reduced order lead times by 2%Increased order returns by 15%
Support total customer satisfactiongoals with single view of customer data for company’s mobile devices division
Centralized enterprise B2B customer master in a single instance
Reduced sales cycle time (B2B) by 3%
Reduced maintenance costs of legacy IT systems by 25%
Large telecom manufacturer
© 2006 Oracle Corporation
Efficiency and IT Agility
Why:Why:Why:
What:What:What:
So what:So what:So what:
Support growth through acquisition and solve customer and product data fragmentation
Centralized product, customer & pricing master apps
Support KPN’s business transformation from product to customer centric enterprise
Live on Oracle MDM withInformatica Power Center & DQFoundation to CRM, Billing &source of clean data for the enterprise
$1.8 million yearly savings in IT project costs
Improve customer service and operational efficiency
Time-to-market performanceStreamlined operations
© 2006 Oracle Corporation
IT Efficiency & Compliance
Why:Why:Why:
What:What:What:
So what:So what:So what:
CIS legacy inflexible and too expensive to maintain & evolve
Live on Customer Hub with 14,000 users and 400k tx /day peak operations
Anti money laundering compliance application
A large bank in Asia-Pacific region
Public Sector
Leading Companies Across Industries Use Oracle MDM for Customer Data
Communications, Media & Utilities
Financial Services High TechnologyManufacturing &Distribution
900+ Oracle MDM Customers
Retail & CPG
Belgium Post
MDM Implementation challengesWhat we hear loud and clear
• Achieve material & sustainable data quality improvements
• Effort grows exponentially with source systems / domains covered
• Clean the data (Initial load) vs. keep it clean (on-going operations)
• Raising / evolving data quality criteria
• Cost of integration• Intrusive to consuming applications• Legacy applications• Hub web services too granular
• Implement true enterprise data governance
• Agree on an enterprise model• Communicate & enforce enterprise data policies• Easily operate and monitor the hub
© 2009 Oracle Corporation
Unclean to clean data(Initial & Delta load)
Operational exchanges Hub / Apps
End-to-EndIntegration
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
MDM Aware Apps
End-to-End Data Governance
Trusted Master Data
Oracle MDM Investment & differentiation strategy Pushing the limits of MDM to achieve faster time to value
End-to-EndData Quality
SourceSystems
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
© 2009 Oracle Corporation
ApplicationIntegration
Architecture
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
MDM Aware Apps
Data Governance ManagerSource
Systems
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
Trusted Master Data
OracleData
Quality
New
Oracle MDM Investment & differentiation strategy The Product Offering
© 2009 Oracle Corporation
SourceSystems
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
Prof
ile
Stan
dard
ize
De-
Dup
Valid
ate
Add
ress
Trusted
Master Data
Oracle MDM Investment & differentiation strategy The Product Offering – End to End Data Quality
End to End Data Quality Framework
© 2009 Oracle Corporation
Rules Execution Engine(Workbench)
Rules Manager ‐ Design, Develop & Validation (IDQ)
Relational and Flat Files
Loans
Legacy
ERP
Other
CRM / MDM
Objective:Zero rejects
CandidatesErrorReport
Correction Files
Credit Card
Exception Management Process (Data Quality Assistant)ETL
MergedSinglesManualRêviez
Scorecards & Reporting(Report Viewer)
CorrectiveActions
Analyze / Profile EnrichMatch &
De-duplicateStandardize & Cleanse
OracleData
Quality
© 2009 Oracle Corporation
SiebelSiebel
EBSEBS
SAPSAP
JDEJDE
CustomCustom
MDM Aware Apps
Match
Sync
Merge
FetchTrusted
Master Data
Oracle MDM Investment & differentiation strategy The Product Offering – End to End Pre-build Integration
© 2009 Oracle Corporation
Push Mode – MDM for Customer Data
• Consolidate• Cleanse &
Enrich• Deut & build
golden record• Publish to
participating applications
• Asynchronous or Batch• Non intrusive• Fast Implementation (<3-4 months)• Does not assume the hub is the data master (Authoring is decentralized)• Out of the box integration with Siebel CRM and Oracle EBS
Customer Hub
AIA Customer Party EBO
SiebelSiebel
PFSTPFST
JDEJDE
PortalPortal
iFlexiFlex
RetekRetek
EBSEBS
SiebelSiebel
PFSTPFST
JDEJDE
PortalPortal
iFlexiFlex
RetekRetek
EBSEBS
AIA
© 2009 Oracle Corporation
Fetch Process: Once candidate selected, returns the entire profile of the customer / prospect
Match Process: returns the list of candidates to a list of selection criteria
Pull Mode – MDM for Customer Data
Sync Process: Data is entered in the application and synchronized back to the customer hub
• Real time interaction with the hub• The right data at the time of entry• Out of the box integration with Siebel CRM and Oracle EBS
1
Customer Customer HubHub
AIA Customer Party EBO
SiebelSiebel
PFSTPFST JDEJDE LegacyLegacyilexilex
RetekRetek
EBSEBS
ODSODS
SAPSAP
23
AIA
© 2009 Oracle Corporation
Push Mode: MDM for Product Data
Item BO / EBSBombed / EBSProduct
HubProductProduct
HubHub
EBSEBS
• Import & Synchronization
• Product Data Quality Management
• Catalog Administration & Security
• Syndication & Publication
• Access & Search
AgileAgile(PLM)(PLM)
SiebelSiebel
AIA
What about legacy applications?
• Easily “embeddable” in legacy / web applications
• Enables Match / Fetch / Sync processes for org and person
• Makes legacy applications “MDM aware”
• Customer still needs to build Enterprise Business Object to Legacy application
AIA AIA Customer Customer PartyPartyEBOEBO
MDM MDM HubHub
LegacyLegacy
Composite Application User Interface
url pointer
AIA
Oracle MDM Investment & differentiation strategy The Product Offering – End to End Data Governance
Define Operate Monitor Fix
Trusted Master Data
• Execute day to day hub operations (Consolidate, Cleanse, Share, Master functions)
• Manage Escalations
• Perform data steward tasks (e.g. Merge/Unmerge)
Define(and Communicate
& Enforce)
Fix data issuesMonitor hub operations
• Define enterprise Master Data (Metadata mgt)
• Define enterprise data policiesData accountability, Escalation process,…
• Administer hub
Easily
Operatehub
• Analyze Hub DQ metrics
• Track sources of bad data
• Monitor hub transaction load
• Fix import error and manage re-submission
• Proactively conduct data watch & repair tasks
• Tune Data Quality rules
End o End Data Governance Data Governance Tools Functions
Oracle New Data Governance Manager
© 2006 Oracle Corporation
Telecom
Oracle MDM: Committed to Industry specialization
SchemaWeb ServicesUser InterfaceProcesses
Trusted Master Data
Financial Services
Retail Health Sciences
Hi-Tech Mfg
Public Sector
Higher Education
Telecommunications
Broadband Wireless Charges Fixed
Internet Cable TV Broadband Discount
Broadband Plans
Wireless Plans
Wireless Discounts
Wireless Voice
Services
Wireless Data
Services
Text Messages
Mobile Content
Devices
Handsets Accessories
DSL High Speed Internet Device Installation
Services Internet Add On Services
Product/Services Classification Structure
Product Hub for CommunicationsEnable Enterprise Service Catalog to achieve across LOB bundled service offerings
Key features
• Comms attributes library (250+)• Product class & parent context specific
data handling• Improved efficiency of item induction• Optimized product change approval
process• Templates for easily creating bundles• Enable end item marketing products
using service bundles
Goal: Reduce cost of downstream/operational errors due to improved data quality
Key customers: British Telecom, LG Telecom, Verizon, Vodafone, Cricket Communication, Intuit, Cisco
MDM Partner Program – Strategic Priority #1
• Skilled and experienced in priming Oracle MDM projects
• Co-Development partnerships deliver deep expertise
• Augmentation from Oracle Consulting
• Global & Regional specialists
Critical to your success
Oracle at the MDM SummitTuesday 4:50
BEST PRACTICES: Delivering Product Hub in aFast Growing Global Enterprise
BEST PRACTICES: Managing Master Data in a “Multiprise”
Wednesday 11:00
EXPERTS PANEL: Optimizing the First Six Months
Wednesday 11:50
BEST PRACTICES: Beyond MDM Data Services
BEST PRACTICES: Introduction to an MDM Methodology
Wednesday 12:40
EXPERT TESTIMONY: Data Governance