Your organization may be spending millions building data products that get used once and forgotten while other teams build the same thing from scratch for a different project. This duplicate work can drain your budget, delay your AI initiatives, and erode trust in your data. And most organizations drastically underestimate the costs.
In this insider session, Quest Software’s Ryan Crochet and Stephan Liozu, along with industry analyst John O’Brien, will show how data product reusability is the economic engine behind successful data strategy.
See how leading organizations treat data products as shared, composable assets rather than disposable project artifacts, and why this shift means the difference between a data function that scales and one that stalls.
You’ll learn how to:
- Stop wasting time on duplicate data product creation
- Reduce data product delivery costs by 30 to 40 percent
- Accelerate use cases with a “build once, use many” approach
- Embed data product governance at inception to increase data product reuse by default
- Drive data product trust, sharing, collaboration, and reusability through a governed data marketplace
See why organizations winning with AI shifted their focus from building more data products to building more data product reuse and value.
Speakers:
Ryan Crochet, Sr. Product Marketing Manager, Quest Software
Stephan Liozu, Chief Value Officer, Quest Software
John O’Brien, Principal Advisor & Industry Analyst, Radiant Advisors
Stephen Faig, Research Director, Unisphere Research and DBTA