keys to master data management
TRANSCRIPT
Keys to Master Data Management (MDM)
Effectiveness in the Federal Government Sector
April 23, 2015
Copyright © 2015 Deloitte Development LLC. All rights reserved.1
Copyright © 2015 Deloitte Development LLC. All rights reserved.2
Building a path to business value
¡Focus on solving the business problem not the data problem
¡A top down approach to sustain change and measure benefits
¡Establish dependency of specific business processes on high quality data
¡Business functions own data quality to drive business transformation
¡Business assumes ownership over the data ‘Business Case’
¡ IT’s role is one of an enabler of capabilities - not an owner of data
¡A large majority of the root cause of data issues are NOT related to technology
¡Data processes should be standardized to sustain data quality
¡Data standards and definitions are jointly established by functional and technical teams
¡All-encompassing enterprise data projects are difficult to sustain
¡Many effective dataprojects are embedded in largerbusiness transformation efforts
¡Establish a foundation of data capabilities and efficiently apply to multiple domains
1. Solve business problems
2. Establish business ownership
3. Technology is not the cure 4. Deploy in phases
Copyright © 2015 Deloitte Development LLC. All rights reserved.3
Information and Data Management
Business drivers for MDM in Federal Government sector
Provide official, timely and accurate information about defense operations
Provide the American public with trusted,affordable, universal serviceImprove access to healthcare and provide exceptional patient experience
Maintain stability and public confidence in the nation's financial system
Protect the public health by assuring the safety of food and drugs
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Employee• Workforce distribution,
planning, and retention• Benefits administration• Learning, training, and
development
Examples
• Employee ID• Employee names• Addresses• Skills and Experiences
Master data domains critical to mission effectiveness
Product/Service• Supply Chain• Product Spend• Go-to-Market Strategy• Inventory Management• Product Life Cycle
Customer Supplier• Customer 360• Customer Retention• Upsell/Cross-sell• Customer Behavioral
Patterns
• Global Supplier Base• Contracts and Policies• Master Service
Agreements• Managing Supplier
Spend
Example Example Example
• Product/Service ID• Description• Physical Attributes• Suppliers
• Customer Names• Addresses• Contact Information
• Supplier Names• Addresses• Global Identifiers• Tax ID
Location• Retail/Wholesale
Locations• Manufacturing Sites• Distribution Network• Merchandising Traits
Example
• Addresses• Square Footage• Geographical Hierarchies
Copyright © 2015 Deloitte Development LLC. All rights reserved.5
Master Data Management (MDM) is a discipline focused on effective management of the fundamental data building blocks, shared across multiple business units.
Master Data Management
Data Quality Management
Deloitte’s business driven approach to MDM
View Information as a Strategic Asset
Driven by
Business Value
Linked toStrategic
Objectives
Enabled with Change Leadership
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How to get started on the MDM effectiveness?
Measure Business Impact
MDM Model Envisioning
Confirm Enterprise Priorities
Confirm Current Capabilities
Gaps Issue ID
Quick Win Hit ListM
DM
Val
ue A
ppro
ach
Define Strategic Priorities
Rationalize Against
Enterprise Plans
MDM Priority and Roadmap
Align on MDM Capabilities Prioritize MDM Roadmap
Engage Business Stakeholders Map to Data Gaps
RoadmapStrategy
Quick wins
Document Business Impact
Pursue the Low Hanging Opportunities
Identify Key Stakeholders
Where should the focus be for the data
strategy?
What are the measures of maturity for each capability?
What business processes are being
impacted?
What business pain points are critical to
solve?
What is the sequencing of MDM
projects?
What business stakeholders should
have a voice in setting priorities?
What data capability gaps are the root cause of business impacts?
What improvements can be made to the data
management processes, standards?
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• Realistic scope and timeline
• Measurable goals
• Consistent use of methodology and approach
• Documented lessons learned
• Relevant data management tools and accelerators
• Relentless focus on value
• Alignment with strategic priorities of the business
• Business ownership and executive sponsorship
• Appropriate training, communication and stakeholder engagement
Competencies for Effectiveness
1. What should be done first?
2. How to balance foundational activities vs. critical business requirements?
3. Where will business engagement and participation come from?
4. What hurdles could impact effectiveness?
Action Plan Items
Day 1 planning for implementation
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Copyright © 2015 Deloitte Development LLC. All rights reserved.36 USC 220506Member of Deloitte Touche Tohmatsu Limited
Greg Jones, Director Deloitte Consulting LLPBusiness Intelligence and Data Warehouse Capability Lead
[email protected] | +1 571 882 7625
Rahul Chande, Specialist Leader Deloitte Consulting LLPEnterprise Data Management
[email protected] | +1 703 251 4182