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Challenges and Best Practices Associated with Data Quality and Acceptable Use of Data

In: DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders

Author

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  • Ram Kumar

Abstract

Data quality and data privacy-related issues and challenges continue to be a key topic for senior executives in organizations as they expose the organization to business risks that could materialize. The issues often lurk behind the scenes until discovered or exposed. With the maturity of data analytics and the artificial intelligence (AI) field, data quality and acceptable use of data from ethical, privacy, and legal perspectives are becoming more critical for organizations. In this chapter, we will discuss some of the best practices associated with data quality and acceptable use of data that organizations have adopted.

Suggested Citation

  • Ram Kumar, 2025. "Challenges and Best Practices Associated with Data Quality and Acceptable Use of Data," World Scientific Book Chapters, in: Wai Fong Boh & Chee Hua (Neumann) Chew & Thara Ravindran (ed.), DATA STRATEGY AND AI VALUE CREATION For Data Leaders by Data Leaders, chapter 4, pages 43-60, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789819800858_0004
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    More about this item

    Keywords

    Data Strategy; Data Governance; Data Quality; Privacy Protection; Artificial Intelligence; Generative AI; Business Value; Innovation; Digital Transformation; Regulations;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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