TDWI Best Practices Report | Innovation Using Data, Analytics, and AI
November 3, 2025
Innovation with data, analytics, and AI is redefining how enterprises create value, compete, and operate. Enterprises that succeed use their data, analytics, and AI to drive differentiating innovations in products, services, experiences, and ways of doing business.
Innovation comes in many forms, from new products and business models to new processes, organizational structures, and ways of delivering value. Today, when most people think about innovation, they think about generative and agentic AI and their role in driving digital transformation, and these are certainly important. But innovation has always been multidimensional.
This TDWI Best Practices Report explores how organizations are innovating across the data and AI life cycle, spanning modern data architectures, embedded analytics, and generative and agentic AI. It explores the types of innovations being implemented, the technologies and organizational structures enabling them, and the maturity of the processes used to scale and sustain innovation. It also examines the characteristics of those companies that are succeeding with various kinds of innovations.
What you’ll find inside:
- Common types of innovation and innovative use cases being implemented today
- A continuum of innovation that reflects how enterprises apply these technologies to create value
- Correlations between the maturity of innovation strategy and positive business outcomes
- The roles and technologies being used to support innovation
- Recommended best practices for encouraging innovation in your enterprise