The emergence of business models driven by data and the evolution of modern analytics and cloud capabilities have increased the interest in data management multifold. As a result, enterprises are breaking down data siloes, transforming their data architectures, and democratizing access to data tools to accelerate decision-making. But the journey to the data-driven enterprise remains challenging, riddled with roadblocks, from budgeting issues to buy-in difficulties. Sound data governance practices can’t be given short shrift in the rush to unlock hidden insights from data.
Building a Robust Data Governance Framework for Effective Data Management
With all that, in addition to privacy and compliance laws continually evolving across the globe, the chief data officer role has become a highly challenging—and enterprise-critical—balancing act. A solid data management framework and effective data risk management strategies are now essential for organizations to stay competitive. Implementing a data management framework enables businesses to address complexities while minimizing risks.
Certified Data Management Professionals (CDMP) play a vital role in ensuring that best practices are followed in data management and governance, ensuring secure, scalable, and compliant data handling. With growing concerns about data breaches and privacy issues, these professionals help implement data risk management processes, safeguarding enterprise data while enabling innovation.
To learn more about how data leaders embrace the challenge, CIO.com met Tejasvi Addagada, chief data officer at HDFC Bank, to discuss the various aspects of data impacting enterprises today. His insights highlight the importance of having a well-structured data management framework to drive enterprise success.
The complete interview is available for further reading below - Data leader Tejasvi Addagada on the value of data governance
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