Why You Need to RethinkYour Data Governance
Take control of your data today.Discover frameworks and strategies forgoverning data products and improving data quality
What is data governance?
Data governance is the practice of managing an organization’s data assets to ensure they are accurate, secure, and usable. It establishes the policies, roles, processes, and tools needed to manage data effectively across its lifecycle. Think of it as the foundation for building trust and transparency within your organization’s data.
But why is data governance so important?
Data governance is essential for organizations striving to achieve better decision-making, operational efficiency, and regulatory compliance. It helps businesses meet data privacy laws like GDPR, ensuring compliance and avoiding penalties. By streamlining workflows and reducing redundancies, governance improves operational efficiency while enabling organizations to securely package and monetize their data assets. Furthermore, it fosters transparency and trust by providing a clear record of how data is used, building confidence among stakeholders and customers. For AI and analytics, robust governance ensures data quality, reduces biases, and empowers organizations to scale AI responsibly.
According to Gartner®, 70% of organizations will fail to realize the full value of AI projects by 2027 without strong governance frameworks in place.
A robust data governance framework ensures your data is:
Accurate and reliable
Secure and compliant with regulations
Accessible to authorized users
Aligned with organizational goals
Governing data products – a new approach
When treating data as a product, governance becomes integral to success. Governing data products requires combining traditional governance practices with a product management mindset.
Governance for data products focuses on:
- Data ethics and security: Protect data privacy while ensuring responsible use.
- Quality standards: Define clear metrics for accuracy, timeliness, and completeness.
- Lifecycle management: Ensure proper governance at every stage—from creation to archiving or deletion.
- Reusable value: Enable teams to reuse trusted data products across multiple projects.
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One Data: Simplify data governance
Use data contracts, access management, and lifecycle management
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the AI-powered Data Product Builder.
Frequently asked questions
A data governance framework defines how data is managed using policies, roles, and tools to ensure compliance, security, and usability across an organization.
Data contracts are agreements between data producers and consumers that outline data formats, quality standards, and access requirements. They improve trust, consistency, and collaboration in data management.
AI systems require high-quality, unbiased data to perform effectively. Governance ensures data used in AI is accurate, secure, and compliant with regulations, reducing risks of biases and ethical concerns.
One Data provides tools for managing data contracts, access control, and lifecycle governance, ensuring compliance and improving collaboration across teams.