Generative AI is making a significant impact on enterprise data teams, with adoption accelerating and productivity gains exceeding expectations. A new Wakefield Research survey, conducted for Prophecy, highlights how data and analytics teams are leveraging GenAI to streamline data delivery and management.
Findings: GenAI’s Rapid Adoption and Benefits
- Widespread Adoption
- 64% of data teams are already using GenAI, with all surveyed organizations planning future adoption.
- 23% have fully scaled their GenAI initiatives.
- Productivity Gains
- 41% of teams report 15%-30% growth in data delivery efficiency.
- 46% see increases of 31%-50%, with an average productivity gain of 25%.
- Top Use Cases
- Automatic data curation (58%)
- Conversational analytics (51%)
- Data testing and quality improvements (51%)
Challenges Hindering GenAI Implementation
- Data Governance and Access
- 36% cite data governance as the biggest adoption challenge.
- 24% report slow data access as a major hurdle.
- Hiring and Scaling Teams
- 53% struggle to find skilled data engineers.
- 50% face onboarding challenges with new employees.
- 53% say scaling teams to meet rising data demands is difficult.
- AI Investment and Oversight
- 25% of executives approve any AI-driven project.
- 44% support AI investment but with strategic oversight.
- 36% require company-wide reviews for AI projects, slowing innovation.
The Future of GenAI in Data Operations
- GenAI is expected to transform data management, transformation, and integration over the next few years.
- Companies must balance AI-driven efficiency with security, governance, and workforce challenges.
- Smart adoption of proven AI-driven data solutions will be key for Fortune 500 enterprises.
GenAI is revolutionizing data teams, boosting productivity, and reshaping data-driven decision-making. However, businesses must address governance, hiring, and scalability challenges to fully realize AI’s potential. Strategic AI investments will define future success in enterprise data management.
