DATA GOVERNANCE & MANAGEMENT SERVICES

Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data. To help understand what a framework should cover, data management as a wheel, with data governance as the hub from which the following 10 data management knowledge areas radiate:

•  Data architecture: The overall structure of data and data-related resources as an integral part of the enterprise architecture
• Data modeling and design: Analysis, design, building, testing, and maintenance
• Data storage and operations: Structured physical data assets storage deployment and management
• Data security: Ensuring privacy, confidentiality, and appropriate access
• Data integration and interoperability: Acquisition, extraction, transformation, movement, delivery, replication, federation, virtualization, and operational support
• Documents and content: Storing, protecting, indexing, and enabling access to data found in unstructured sources and making this data available for integration and interoperability with structured data
• Reference and master data: Managing shared data to reduce redundancy and ensure better data quality through standardized definition and use of data values
• Data warehousing and business intelligence (BI): Managing analytical data processing and enabling access to decision support data for reporting and analysis
• Metadata: Collecting, categorizing, maintaining, integrating, controlling, managing, and delivering metadata
• Data quality: Defining, monitoring, maintaining data integrity, and improving data quality