AAG offers a proven methodology for building a data management program that is easily customized to meet the needs of our clients.
Data Governance
- Define and implement multi-tiered enterprise data governance function inclusive of roles, responsibilities, and processes.
- Data policy, standards, and principles definition.
- Training classes to educate enterprise on data management practices.
Information Life-cycle Management
- Identify technologies and processes for your enterprise to enable the management of data across its complete lifecycle – from creation and use to archiving and disposal.
- Develop/implement/monitor service level agreements for producers and consumers of data.
Data Quality
- Proven data quality methodology/framework.
- Establish data quality dashboards.
- Definition of data quality control architecture.
- Design and implementation of Audit, Balance & Control framework.
Meta Data
- Define core metadata requirements, processes, design principles, and architecture that is required to achieve your organizations metadata vision and strategy.
- Evaluate metadata vendor tools, recommend best match for requirements, and implement tool.