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Future Trends in Data Governance: Preparing for Tomorrow

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Data Governance

Abstract

This chapter explores the evolving landscape of data governance and anticipates the changes and innovations that are expected to shape its future. This chapter serves as a forward-looking guide, preparing organizations to adapt to the rapid advancements in technology and shifts in the regulatory and business environments.

The chapter opens by emphasizing the dynamic nature of data governance, driven by the relentless pace of technological advancements and the exponential growth of data volumes. It stresses the importance of foresight and adaptability in data governance practices, urging organizations to not only address current challenges but also to prepare proactively for future developments.

One of the key discussions in the chapter is the rise of artificial intelligence (AI) and machine learning (ML), highlighting their transformative impact on data governance. AI and ML are expected to revolutionize data processing and analysis, enhance data quality, and enable predictive analytics, thereby automating and improving data governance tasks.

The chapter also delves into the increasing importance of data ethics, emphasizing the need for ethical data handling practices as data becomes a more valuable and pervasive resource. Topics such as data privacy, transparency, and accountability are explored in depth, alongside the need to address bias and ensure fairness in data-driven decisions.

Big Data and the Internet of Things (IoT) are discussed as significant factors impacting data governance, with their ability to generate immense volumes of data that pose new challenges and opportunities for data integration, quality management, and security.

Cloud governance is identified as another crucial area for future focus, with an increasing number of organizations moving their operations to the cloud. The chapter outlines best practices for managing cloud resources, ensuring security and compliance, and optimizing costs in a cloud environment.

Moreover, the evolving regulatory landscape is examined, highlighting the need for organizations to stay informed and compliant with new and changing data protection laws and industry-specific regulations.

A strong emphasis is placed on the importance of data literacy across all levels of an organization, promoting a culture where data-driven decision-making is the norm. Enhancing data literacy is portrayed as essential for empowering employees and fostering an environment where data is recognized as a strategic asset.

Lastly, the chapter explores the implications of emerging technologies such as blockchain and decentralization in data governance, discussing their potential to enhance data security, transparency, and control.

In conclusion, this chapter provides a comprehensive overview of the trends and challenges that will shape the future of data governance. It encourages organizations to adopt a proactive and strategic approach, leveraging new technologies and evolving with the changing landscape to ensure effective and future-proof data governance practices.

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  1. National Technical University of Athens, Marousi, Greece

    Dimitrios Sargiotis

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  1. Dimitrios Sargiotis
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Correspondence to Dimitrios Sargiotis .

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Sargiotis, D. (2024). Future Trends in Data Governance: Preparing for Tomorrow. In: Data Governance. Springer, Cham. https://doi.org/10.1007/978-3-031-67268-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-67268-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-67267-5

  • Online ISBN: 978-3-031-67268-2

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