Data Management

Data Management is the development and execution of architectures, policies, practices, and procedures that properly manage the full data lifecycle needs of an enterprise. It compliments BI initiatives by tackling root—cause problems associated with poor data quality. By instilling a rigorous data management program, organizations can be confident sharing enterprise information across departments. Rapidiant provides services for the following types of data management activities:

  • Master Data Management
  • Data Quality and Data Profiling
  • Metadata Management
  • Data Governance

Rapidiant services allow organizations to improve their information foundation via the following solutions:

Master Data Management — We deliver solutions that allow clients to capture, manage, and utilize data from a unified view by:

  • Defining master data strategy and goals
  • Integrating master data with both operational and analytical systems
  • Creating data stewardship practices

Data Quality and Data Profiling — Rapidiant focuses on the following core areas in promoting Data Quality:

  • Monitoring, analyzing, and reporting on the quality of information
  • Developing standards and tools for maintaining data quality
  • Adhering to data modeling and database design best practices

Metadata Management — Our professionals help shape the context of data within an organization by:

  • Developing metadata strategies
  • Defining architecture and design
  • Implementing solutions to consolidate, integrate, and audit metadata

Data Governance — We promote the processes and procedures that encourage a consistent, enterprise view of an organization’s data by:

  • Creating programs consisting of a governing council, personnel, procedures, and plans to execute those policies
  • Designing standards, processes, and procedures
  • Defining controls and audits