mdm workshop jayant prabhu and amit kumar jha, wipro
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MDM Workshop Jayant Prabhu and Amit Kumar Jha, Wipro http://informationexcellence.wordpress.com/2011/10/28/infovision2011-presentations/TRANSCRIPT
MDM Workshop- Infovision 2011
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Quiz time
Hotel in Warsaw, Poland
Bank in Russia
Meter Data Management
Rock Band in USA –Modern Digital Militia
Mobile Device Management
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What is Master Data
Master Data: A consistent & uniform set of identifiers and attributes that describethe core entities of the enterprise & are used across multiple business processes
- Gartner
Customer Supplier
Employee
Material Asset
Product
Location Chart of Accounts
Object Master Data
Party Master Data
Place master Data
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Technology enabled discipline in which IT and business work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official , shared master data assets
- Gartner
What is Master Data Management
"A system of business processes and technology components that ensures information about business objects, such as materials, products, employees, customers, suppliers, and assets, is current, consistent, and accurate wherever they are used inside or exchanged outside the enterprise.”
AMR Research
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Finding Success with MDM initiatives – Some best practices
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1 MDM Strategy: Business case with ROI
1. Revenue lift through new or enhanced Business Capabilities• X-Sell, -Sell, Self Service, Customer,
Product Strategies• Channel Effectiveness
2. Operational Efficiency• Process Efficiencies (Cycle time reduction
in NPI)• Cost reduction
3. Risk & Compliance• Regulatory requirements (LEI, FATCA,
Sunshine Act)• Fraud detection
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1. MDM Strategy- Determining the start point & aligning priorities
Business ApplicationsImproved Business Processes Enabling growth & complianceSeamless integration across enterprise and cloud based applications
AnalyticsBetter quality of business decision makingBetter reporting & analytics
Enterprise ArchitectureBetter consistency of information Scalable architecture for better agility
EDWReduced effort of data integrationLower cost of maintenance of dimensional data
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• Participation from All Stakeholders– Pain Areas and Priorities of One LOB might not be shared by others– Incentive to participate not equal
• Drive Business Involvement– A specific initiative run & driven by IT that needs Business QA– An add-on responsibility to an existing ‘resource’
• Management Buy-in– Tactical view of the effort instead of viewing as a ‘Continuous’ improvement
initiative– Views as a diversion of Executive time
• Overcoming the “Governance Block”– IT thinks Business should drive, Business sees no reason to – Inability to identify all the right stakeholders and setting the right Agenda for
the councils
2 Governance Process: Critical to Success
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3 MDM Architecture- Key considerations
Assess the organization needs and finalize Build Vs Buy option Evaluate the products and architecture to be implemented Upgrade solutions incrementally from consolidation to centralization to lower
disruption
Architecture drivers Minimize disruptions Deliver quick-wins Build a solid platform that
is extensible
Architecture constraints
Type of master data Appetite for change Maturity of data mgmt
processes
Architecture options
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3. MDM Architecture: MDM Tool vendor landscape: Evolving & Maturing
Source: Gartner
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3.2 MDM Architecture: Implementation styles
CRITERIA CONSOLIDATION HARMONIZATION CENTRALIZATION
Data latencies High Medium Low
Scope Enterprise Business unit Business process
Organizational readiness for data governance
Low Medium High
Knowledge of current IM processes
Low Medium High
Aligned changes to source systems
Not required Incremental Extensive
Aligned changes to business processes
Not required Incremental Extensive
Overall IT landscape Dynamic Stable Stable
Number of sources/entity High Medium Low
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4. MDM solution deployment
Solution DeploymentSolution Deployment Think “big” & start “Small” Tie each implementation cycle to
measurable business benefit Do not boil the ocean Do not under-estimate cost of
data migration
Solution DeploymentSolution Deployment Think “big” & start “Small” Tie each implementation cycle to
measurable business benefit Do not boil the ocean Do not under-estimate cost of
data migration
RolloutsRollouts• Build global templates – overlay
local requirements• Adopt a “Roll-in” instead of a
“Roll-out” strategy • Establish DQ baselines & measure
improvements• Communicate, Communicate &
Communicate
RolloutsRollouts• Build global templates – overlay
local requirements• Adopt a “Roll-in” instead of a
“Roll-out” strategy • Establish DQ baselines & measure
improvements• Communicate, Communicate &
Communicate