This project seeks to learn how next-generation data practices can drive organizational growth, efficiency, and resilience. The research will investigate the impact of advances such as AI-driven data curation, automated data governance, decentralized and federated data processing, and privacy-enhancing technologies. We will assess how these innovations address challenges in emergent data management requirements, such as managing unstructured data, right-time analytics, and agentic data sharing. Beyond technology, the research will consider what leadership models, skills, and investment priorities are required when data management must enable phenomena like AI, robotics, and quantum computing.
This study will rely on a combination of literature review and interviews with expert academics and partitioners to identify the trends, risks, and opportunities shaping the future of data management.
We will focus on the following research questions:
- In the decade ahead, what novel problems must data management address?
- What current technological advancements should leaders keep in mind when remediating emergent data management problems?
- What new considerations are important for leaders making data management investments?
SEEKING: We are seeking participation in the research by data leaders who are actively investing in data management practices that solve novel and challenging problems.
CONTACT: Barbara H. Wixom
