Data Management and Governance

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.