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 Service Lines > Data Management > Methodology |
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Data management methodology
The Data Agility method has five principal components, these are detailed below.
The method is applied in the context of business challenges and data management
maturity.
Assessment
Focus on determining current state of organisational data management capability including:
- Vision
- Purpose and alignment to business goals
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- Performance
- Cost/time/quality targets and measures
- Practical execution and process rigor
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- Design
- Standards/policies
- Architecture
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- Tools
- In use, completeness of use, duplication and gaps
Coverage: modeling, profiling, meta data, data warehouse, data marts, operational data stores
Data strategy and planning
Focus on vision, direction setting and focusing capability to enable achievement of business goals
- Developing strategies and plans
- Setting standards and policies
- Modeling the needs of business
- Optimising data performance
- Selecting tools
Coverage: modeling, profiling, quality, data definition, data sources, data dictionary, archiving
policy, data velocity, meta data, single customer view
Architecture and design
Aligning architecture and design to the business goals and data management vision
- Data Architecture
- Business
- Technical
- Enterprise
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- Design
- Structures
- Databases
- Meta data
- Date Warehouse
- Data Mart
- Processes
- ETL
- Legacy data integration
- Data dependency and sequencing
- Modeling process
- Profiling process
- Data repository management process
Implementation
Services providing data management capability
Project planning and management
- Building
- Datebases
- Data warehouse
- Data marts
- Operational data stores
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- Deploying
- ETL
- Modeling tools and process
- Profiling tools and process deployment
- Meta data repositories
- Package solutions
Operations
Delivering data-driven business services
- Insight delivery e.g.
- Customer churn
- Contact centre management
- Fraud management
- Risk management
Data Management bureaux services
Enabling operational access to a data
warehouse.
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