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Andy Hazelwood – Data Management Solutions
Establishing a Federal Model for
Data Quality Management
• Experienced data quality practitioner with 10 years background in:
• Data governance
• Master Data Management
• Data quality management
• Financial Services
Andy Hazelwood
Introduction
Top down vs. bottom up
Organisational model
Centre of excellence
The role of data governance
Vision and Strategy
Funding
Resource allocation
Sponsorship
Design the DQM Programme of Work
Identify Business Needs
Increase revenue
Reduce costs
Lost business
Mitigate risk
Customer, supplier or partner satisfaction
IS/IT needs
Choose the Organisational Model
• High level of control
• Need to manage risk closely Centralised
• Silo’d organisation
• Firmly/widely established processes Decentralised
• Geographically dispersed operations
• Global and local regulations/laws/policies Federated
• Define the business need
• Analyse the information environment
DEFINE
• Assess data quality
• Assess business impact
MEASURE • Identify root
causes
• Develop improvement plans
ANALYSE
• Prevent future data errors
• Correct current data errors
IMPROVE • Implement
controls
CONTROL
Develop the DQM Processes
McGilvray’s 10 Step Process
Communicate actions and results
People
• Establish current capabilities
• Define the training plan
• Deliver framework for short-/medium-term development
Process
• Understand current vs. future process gaps
• Define transition plan
Technology
• Build technology 'packaged solution'
Design the Supporting Framework
• Define analyst role-types
• Establish a knowledge network
• Pull/push best practice
• Train the trainer
• Consider the wider organisation
• Define a communication plan
• Review period/frequency
Implement the Centre of Excellence
Top down and/or bottom up
Holistic DQM framework
Consider wider DG framework
Summary
