What are some common challenges in implementing a data governance framework?
- Lack of organizational buy-in, Data silos, Compliance requirements, Cultural resistance
- Data duplication, Lack of data quality, Data security concerns, Rapid technological changes
- Data architecture complexity, Resource constraints, Lack of executive sponsorship, Data governance tools limitations
- Data privacy concerns, Inadequate training, Data integration difficulties, Lack of industry standards
Implementing a data governance framework can be challenging due to various factors. Common challenges include a lack of organizational buy-in, which may lead to resistance from different departments. Data silos hinder collaboration and data sharing across the organization. Compliance requirements impose additional constraints on data handling practices. Cultural resistance to change can slow down the adoption of governance policies and procedures. Addressing these challenges requires strategic planning, effective communication, and collaboration across different stakeholders.
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