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For years, TDWI Research has covered such responsible data and analytics topics as data compliance, quality, privacy, security, protection, and bias mitigation. In order to manage data and analytics responsibly, enterprises often leverage platforms, tools, skills, and techniques that have proven useful in data compliance, data governance, and other established practices. At the same time, organizations are finding they need to evolve and extend these practices in order to serve a different set of stakeholders and use cases.
To stay ahead of the curve, data professionals have begun to address such topics as ethics, equity, fairness, safety, and sustainability in their strategic planning and operational practices.
This TDWI Best Practices Report examines where organizations are today in terms of responsible data and analytics and what work they still need to do. It also addresses organizational imperatives and technologies to help organizations become more responsible.
What Is Responsible Data and Analytics and What Are the Key Drivers?