refers to the development, execution and management of architectures, policies, practices and procedures that deliver, control, protect and enhance the value of data and information assets throughout their lifecycles in an organization.
Data management
A data management plan defines the types of data that exist and how they are stored and secured.
A clearly defined Data management plan
From the time data is collected or acquired until the end of a project and even beyond, we need to have a clear understanding of how the data is being managed in order to maintain the data quality and usefulness
Implementation of Data lifecycle control
Identifying data owners and data stewards allows us to ensure that the right people are assigned to the right roles within our data management system
Identification of Data ownership and stewardship
In this digital age, data security is vital for every business, regardless of industry
This includes both infrastructure security measures as well as adhering to best management practices regarding user access and authority to access various types of data within the system
Ensuring Data security
None of the other data management principles matter if a company doesn’t maximize the use of the data it collects.
Maximizing Data usefulness
Data increasingly guides how successful companies make choices. Hence, it is critically important to guarantee decision- makers can trust the data they work with. To manage data quality, organizations should ensure that they understand stakeholders’ requirements for quality and measure data against these requirements
Ensure Data quality
