What are the Challenges of High Quality Data Management?
Despite its importance, high quality data management comes with several challenges:
- Data Silos: Data stored in isolated systems can be difficult to integrate and use effectively. - Data Volume: The sheer volume of data generated can be overwhelming and difficult to manage. - Data Variety: Managing different types of data, such as structured and unstructured data, requires specialized approaches. - Data Privacy: Ensuring compliance with data privacy regulations, such as GDPR, can be complex and resource-intensive.