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8/6/2019 Driving Business Value With MDM
http://slidepdf.com/reader/full/driving-business-value-with-mdm 1/38
Driv ing Business Valuew i t h MDM
Jolene Jonas
MDM Data Architect/Product Manager
Intel Corporation
Nimish Mehta
Senior Vice President, EIM
SAP Labs LLC.
8/6/2019 Driving Business Value With MDM
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Driv ing Business ValueWi t h Dat a Unif i c a t ion
Nimish MehtaSVP, EIM
SAP LABS LLC.
8/6/2019 Driving Business Value With MDM
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Data Unification with SAP NetWeaver
Customer Success Stories
The Data Problem
Data Unification withSAP NetWeaver
Best Practices and Getting Started
8/6/2019 Driving Business Value With MDM
http://slidepdf.com/reader/full/driving-business-value-with-mdm 4/38© SAP AG 2006, Data Unification / 4
The New In t egrat ion Chal lengeDispara t e t ec hno log ies do no t suppor t p rocess innovat ion
Inflexible, slows process change “Hardwired” process
IT silos can’t meet LOB needs
IT silos prevent delivering
composites
Costly to maintain, ties up budget
Exponential # of integrations
No cohesive master data
Appl ica t ionServer
PortalBusiness
In te l l igence
Messaging
Secur i ty
Mas ter Data
Mgmt
Enterpr iseIn tegra t ion
CRM
SRM
ERP
8/6/2019 Driving Business Value With MDM
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Bad Master Dat a h inders proc ess innovat ions ince every depart m ent has a d i f fe rent vers ion o f i t
Master data isdata about yourcustomers,products,suppliers etc.
M & A’s areworsening theproblem
CallCenter
Jane Smith
4418 N. Str.Chicago, IL
60611Part: 2574
SRM
Part: 8975
VENDOR:ABC123
Logistics
VENDOR:XYZ456
YOUR VALUE CHAIN
ERP
Jane Peters199, 3rd StreetPalo Alto, CA
Part: B7521
8/6/2019 Driving Business Value With MDM
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Costs and Com plex i t y inc rease over t im eAs bus iness events c on t inue to impac t t he dat a
57% of marketing contentwork was to mitigate
errors
40 % orders gettingblocked due to masterdata problems
$6 billion Maytag merger
DataQuality
Time
Wit hout Mast er Dat a Management
Doing business is expen sive
DataWarehousing
One-off
cleansing
M & A
Outsourcing
New productlaunch
8/6/2019 Driving Business Value With MDM
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ConsolidationEnsure consistent masterdata across systems
HarmonizationCleanse and distributeacross entire landscape
Central ManagementCreate consistent master datafrom the start, centrally
Managing Mast er Dat a Ac t ive lyI s Impera t i ve to ensur ing op t im a l p roc ess innovat ion
DataQuality
Time
New ProductLaunch
Mast er Dat a ManagementImprove da ta qua l i t y in s teps
M&A
Outsourcing
Consolidation
Harmonization
CentralMDM
DataQuality
Time
Without Consol idat ionDoing bus iness is expens ive
8/6/2019 Driving Business Value With MDM
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Data Unification with SAP NetWeaver
Customer Success Stories
The Data Problem
Data Unification withSAP NetWeaver
Best Practices and Getting Started
8/6/2019 Driving Business Value With MDM
http://slidepdf.com/reader/full/driving-business-value-with-mdm 9/38© SAP AG 2006, Data Unification / 9
SAP Net Weaver – A St rat eg ic Plat form for Ent erpr ise SOAMaster Data i s an in tegra ted c apab i li t y o f t he Pla t form
SOA Provis ioni ng
Stable, scalable core
Open, standards-based Service-enabling
processes, information, events
Com posi t ion Env i ronment Fast paced “edge” of the business
Don’t just code – compose!
Lean consumption
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© SAP AG 2006, Data Unification / 10
Master Dat a Managem entw i t h SAP Net Weaver
Compose cross applicationprocesses in SOA withconsistent master data
Infinitely configurableschema options
Support consolidation,harmonization, centralmgmt
Pre-packaged IT and
business scenarios
500+ customers
Manage Any Master Data
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© SAP AG 2006, Data Unification / 11
Benefits: Complex product and
relationship management
Print/web publishing including
layout and production
GEAR
Parts1038-GID
Example: Product information is
consolidated and enriched and
published internally or externally
A124K
Parts
GEAR
Ric h Produc t Cont ent Managem entOne v iew o f p roduc t in fo rmat ion anyt im e anyw here
Publish
GearsBR-2K
SPIDERGEAR
C
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© SAP AG 2006, Data Unification / 12
Jane Smith
4418 N. Str.Chicago, IL60611
Extensive matching framework
Provides web services tocustomer data access
SAP & Non-SAP integration
Cust om er Dat a In t egrat ionOne view o f cus t omer i n fo rmat ion anyt ime anyw here
Analysis
Jane Peters
199, 3rd StreetPalo Alto, CA94304
Jane PetersSmith
4418 North St.Chicago, IL
60610
I d B i I t l l i
8/6/2019 Driving Business Value With MDM
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© SAP AG 2006, Data Unification / 13
Understand your most profitableproducts, best customers andcheapest/reliable vendors
Gain insights by integrating
transactional data fromheterogeneous systems withmaster data for analysis
Im proved Business In t e l l igenc eDel iver un ique ins igh ts w i th an in tegra ted p la t fo rm
+
TRANSACTIONAL
DATA
MASTER
DATA
=
BUSINESS INSIGHT
CO SO G S S
8/6/2019 Driving Business Value With MDM
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© SAP AG 2006, Data Unification / 14
CONSOLIDATING HAS NEVER BEEN EASIERConsol idate, harmonize and cent ra l ly manage mast er data
Instance Consolidation from R/3 and other sources
Direct ODBC System Access, extract flat files, 3rd partyapplication data, XML sources, many more..
Single pass data transformation, Auto-mapping, Validation
Rules, Exception handling
Business Users can define matching rules, complex matchingstrategies, conduct data profiling, enrich data
Data Enrichment Controller to use 3rd party sources likeTrillium, D & B and other partners for address completion,company validation and enriching data
Search and compare records, identify sub-attributes forconsolidation in sub-second response times
Merge Records seamlessly, tracking source systems with built
in key mappings
Leverage out of box data models for consolidated data
CONSOLIDATING HAS NEVER BEEN EASIER
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© SAP AG 2006, Data Unification / 15
CONSOLIDATING HAS NEVER BEEN EASIERConsol idate, harmonize and cent ra l ly manage mast er data
Leverage built in workflow to manage compliance process,ensure administrators can validate imported records
Enforce data governance through user roles, security,workflow, audits to prevent future data problem
Syndicate master data in XML or to any SAP or non-SAP
applications
Works with SAP and non-SAP distribution technologies foreasy fit in heterogeneous environments
Centrally manage master data
Leverage validation rules to enforce data integrity
Manage rich content set and relationships associated withmaster data record
Wh C st om ers are c hoosing SAP ?
8/6/2019 Driving Business Value With MDM
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© SAP AG 2006, Data Unification / 16
IDENTIFY SUPPLIER MANAGE CUSTOMERVERIFY AVAILABILITYTAKE ORDER
Why Cust om ers are c hoosing SAP ?One so lu t ion for ALL mast er da ta in your indust ry spec i f i c p roc ess
SAP NetWeaverOne master data solution for all business processes
Who is mycustomer?
Do I have theright product?
Who is my bestvendor?
Which employeeshould we assign to?
Firs t s t ep t o ent erpr ise SOA
8/6/2019 Driving Business Value With MDM
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© SAP AG 2006, Data Unification / 17
Firs t s t ep t o ent erpr ise SOAAcc e lera te new business processes w i th acc urat e mas te r dat a
Unify any data
Unify customer, product, employee, supplier and user defined data
with one solution to build robust business processes
Industry insights
Supports 1Sync (UCCnet, Transora), configurable forother industries
Easy deployment
Pre-built data models, mappings and iViews
8/6/2019 Driving Business Value With MDM
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Mast er Dat a Managem ent a t In t e l
Jolene JonasSAP MDM Product Manager
SAP Data Architect
8/6/2019 Driving Business Value With MDM
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
8/6/2019 Driving Business Value With MDM
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
C B k d
8/6/2019 Driving Business Value With MDM
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© SAP AG 2006, Data Unification / 21
Intel is the world's largest chip maker, and a leading manufacturer ofcomputer, networking and communications products.
Founded in 1968, first microprocessor shipped 1971
Worldwide Presence
124 Offices in 57 countries
97,000 employees + 39,000 Contingent workers
Over 450 products & services
2005 revenues $39 billion
Information Technology Group – 6,469 Employees + 2,254 Contingent workers
– 79 IT Sites in 27 countries
– 26 data centers all running Intel® architecture-based servers
SAP* since 1996, key of our ERP implementation – Centrally-located infrastructure
– Distributed implementation by business functions
– Future: Replatforming SAP and moving to SOA*
* SOA – Service Oriented Architecture
Com pany Bac k ground
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
F l i i D t Q l i t
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© SAP AG 2006, Data Unification / 23
Form al izing Dat a Qual i t y
Effort began in 2001
Elevated awareness corporate wide
Data is an asset
– Systems are temporary but Data lasts forever
Quantified impact of poor data, the pain of poor Master Data
– Per Data Quality Experts - assume 10% error rate due to poor quality
– High TCO*
- 25+ Customer Apps all doing same work
- No single place where Customer is created
- Lack of an integrated view
Formed an Information Quality Organization Message given tops down
Targeted training classes
– Management and detail level
TCO – Total Cost of Ownership
Form al izing Dat a Qual i t y
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© SAP AG 2006, Data Unification / 24
Form al izing Dat a Qual i t y
Defined data quality goals: Single terms/definitions - One language
Single Record of Origin for Configuration and Master Data
Increase reuse
Monitors & audits to track improvement
Streamline business processes
Standards & Governance:
Data Architects
– Lead Data Architect per subject area- Finance, Location, HR, Customer, Supplier, Item
– Owns standards, governance, project deliverables
– Defined a Data Model driven approach for development
Business gatekeepers
– Focused Change Control Boards
8/6/2019 Driving Business Value With MDM
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
Fi rs t What is Mast e r Dat a?
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© SAP AG 2006, Data Unification / 26
Fi rs t - What i s Mast e r Da t a?
Includes Master Data & Config
Persistent (lifecycle outside a single business process)
Has a CRUD* process outside of the business processes where consumed
Definition independent of other data – i.e. Item is Master Data, BOM is not as it is dependent on Item
Highly reused – (Used in more than one business process)
Primarily created for use in other processes
* Create, Read, Update, Delete
8/6/2019 Driving Business Value With MDM
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
Tops Dow n Approac h t o Dat a
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© SAP AG 2006, Data Unification / 28
Tops Dow n Approac h t o Dat a
First - Define the conceptual layer Sets the foundation, the business framework
Brings Intel to one data dictionary – Single terms and definitions
Second – Seed the logical layer from the conceptual
Reuses approved conceptual entities
Adds all the facts/attributes, business data rule
Grows as new needs are identified Acts as blueprint for physical design
Services being designed based on the model
Third - Use logical model to “seed” the physical models
Ensures reuse of approved entities and attributes Physical representation of the applications
Why? – Links application speak to Intel speak
– Roadmap for enhancements/integration/reuse
– Impact analysis
Pre- Ent erpr ise Com m odit y Dat a Mode l
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© SAP AG 2006, Data Unification / 29
Pre Ent erpr ise Com m odit y Dat a Mode l
Reporting
SAP CRS
Material Master (CIM)
Material Group = Commodity
Tax Man
Spends
Analyst
SpendsManager
MaterialPlanner
Summarize by taxable area
Planning Categories
Summarized Grouping
Lowest Detail
One Term, Many Definitions
Ent erpr ise Dr iven Com m odi t y Dat a Model
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© SAP AG 2006, Data Unification / 30
Ent erpr ise Dr iven Com m odi t y Dat a Model
Reporting
SAP CRSMaterial Master(CIM)
Material Group= Commodity Detail
New Commodity Hierarchy
Tax Man
SpendsAnalyst
SpendsManager
MaterialPlanner
Summarize by taxable area
Summarized Grouping
Commodity plusHierarchy
Detail CommodityReport
CommodityGatekeeper
Controlled Entry
Single Definition per Term
Ent erprise I t em Conc ept ua l Model
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© SAP AG 2006, Data Unification / 31
Ent erprise I t em Conc ept ua l Model
Item
Product
Subassembly
Material
Finished Good
Kit
Service
Direct Material Indirect Material
Manufacturing Indirect Material
BOM
Intangible Product
Subject Area
Product
Subject Area
Material
Subject Area
Item
8/6/2019 Driving Business Value With MDM
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Company Background
Formalizing Data QualityWhat is Master Data?
Data Modeling Approach – Tops Down
Physical ImplementationSummary/Q&A
In t e l Mast er Dat a Di rec t ion
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© SAP AG 2006, Data Unification / 33
In t e l Mast er Dat a Di rec t ion
Finance data
Currently using SAP R/3 as single Record of Origin
– Minimal gaps – Meets business need
Therefore – move to SAP ECC^
Location data
SAP R/3 works well
– But has data gaps- Effective dating, status codes, type codes
Therefore – move to SAP ECC
Build out SAP NetWeaver MDM to close data gaps
– Utilize SOA to glue them together
ECC – Enterprise Central ComponentMDM – Master Data Management
Determining Best Fit for Record of Origin
In t e l Mast er Dat a Di rec t ion
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© SAP AG 2006, Data Unification / 34
In t e l Mast er Dat a Di rec t ion
Item (Material Master) & Commodity
Currently use R/3 as authorized Record of Origin
Large gaps in data & business rules
Therefore, targeting Record of Origin as SAP NetWeaver MDM
Customer/ Supplier
Currently use R/3 for Direct Customer and Supplier
– Indirect Customers in many other apps
Building out mySAP CRM and SRM in 2007
Long term goal is SAP NetWeaver MDM as Record of Origin
Integrated SAP Netweaver BI
Distribution from authorized Record of Origin only
– Requires controlled distribution attribute by attribute
Requires strict control of Master Data number ranges
Determining Best Fit for Record of Origin
*ROO – Record of Origin – Single point of create for unique identifier
SAP Net Weaver MDM w i l l run on In t e l®Arch i tec tu re
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© SAP AG 2006, Data Unification / 35
Arch i tec tu re
Certified on 64-bit Intel® Xeon® processor
Benefits
Premier performance, scalability, and the highest reliability at a fraction of the
cost of proprietary systems
Integrated, advanced RAS features for highest standards of system availabilityand uptime
Greater range of optimized solutions than proprietary platforms support, at a
lower cost
Optimized SAP solutions to run best Intel architecture via massive Intel and SAPengineering investment
SAP NW MDM Live at In t e l s inc e Nov 2006
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© SAP AG 2006, Data Unification / 36
Started with our logical data models
Built our own physical data model due to Intel specific needs
MDM plugged into existing infrastructure
– Redundant applications will be phased out over time as in-house expertise isgained with new application
– Allows us to identify gaps and work with SAP for closure
1.8m Materials, 180K Suppliers = ~$10-15Bn spend, 6m Customers
2007/2008 will see further rollout of MDM to business applications
Collaborating with SAP on a Master Data Service/xApp
Get Supplier, Search Supplier
Leverages MDM Web Services delivered in latest release – 6 week effort
OOB – Out Of Box
Lessons Learned
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© SAP AG 2006, Data Unification / 37
Being an early adopter has benefits
Strong influence on SAP strategy for central maintenance
– Customer champion on the Influence Council
Many product enhancements at Intel request
Alignment with SAP SOA team on a Master Data Service
Very strong support from SAP enabling our success
Go with SAP data model
More complete integration back to core SAP
Extend what is delivered
Sum m ary: ROI sav ings est im at ed at $10-18m
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© SAP AG 2006, Data Unification / 38
y g $
Benefits of a Data Model Driven Approach Grounds Intel on common language
Ensures fully integrated, reusable design
Provides consistent blueprint to development community
Reduces Total Cost of Ownership (TCO) through Record of Origin
– Cost Avoidance - reduction in applications (infrastructure and headcount)
Delivers better data quality
Must have management buy-in to succeed
SAP NetWeaver MDM has a key role in Master Data Management
Both as an Record of Origin and Record of Reference