INTRODUCTION
TDWI research consistently shows that data governance remains a top priority for data management, and with the rise of generative AI, organizations are increasingly recognizing the need for robust analytics and AI governance as well.
This 10-minute survey asks questions about your data governance, analytics governance, and AI governance practices. Consultants, please answer with your last client in mind. In appreciation for you completing this survey, you will be eligible for the incentives outlined in our email to you.
DEFINITIONS:
We define responsible governance as a proactive approach for identifying and mitigating risks—business, legal, and ethical—associated with building, training, development, and use of data, analytics, and/or AI. It encompasses all policies, procedures, controls, and responsibilities necessary for ensuring that organizations manage these resources in alignment and compliance with all relevant ethical, societal, and legal mandates and sensitivities.
For the purposes of this survey, analytics refers to the process of exploring, interpreting, and communicating data through tools such as reports, dashboards, and visualizations to support business decision-making—distinct from advanced techniques such as AI or machine learning.
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