Data governance is the main component of data management strategy. To be more efficiency, it is important to centralized control mechanisms within the bounds of policy and regulation. It composes the collection of general data management that includes these processes:

  • Collecting
  • Validating
  • Storing
  • Protecting (Data security)
  • Efficiently
  • Cost-effectively

These processes and technologies can protect the organization’s data assets to ensure the data can be understandable, correct, complete, trustworthy, secure and discoverable.

The topics covered by data governance are:

  • Data architecture
  • Data modeling& design data storage & operations
  • Data security
  • Data integration & interoperability
  • Documents & content
  • Reference & master data
  • Data warehousing & business intelligence
  • Meta-data
  • Data quality

To cover the topics of data governance, it is necessary to establish methods with clear responsibilities and processes to standardize, integrate, protect and store corporate data. The targets are to:

  • Minimize risks
  • Establish internal rules for data use
  • Implement compliance requirements
  • Improve internal and external communication
  • Increase the value of data
  • Facilitate the administration of the above reduce costs
  • Reduce costs
  • Ensure the sustainable of the company through risk management and optimization

The programs can affect the strategic, tactical and operational levels in organizations. Data governance is a prerequisite for tasks or projects and has many benefits:

  • Offer better and more comprehensive decision support
  • Increase the scalability of the IT landscape
  • Offer potential to optimize the cost of data management
  • Increased process efficiency through the use of synergies
  • Higher confidence in data through quality-assured and certified data
  • Security for internal and external data
  • Clear and transparent communication through standardization