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Organizations are spending millions building data products that get used once and forgotten - while the team down the hall builds the same things from scratch for a different project. It's a cycle that drains budgets, delays AI initiatives, and erodes trust in data.
In this insider session, Quest's Sr. Product Marketing Manager Ryan Crochet, Chief Value Officer Stephan Liozu and Principal Advisor and Industry Analyst at Radiant Advisors John O'Brien will make the case that reusability isn't just a "nice-to-have", it's the economic engine behind successful data strategy. They will explore how leading organizations are treating data products as shared, composable assets rather than disposable project artifacts and why this shift can mean the difference between a data function that scales and one that stalls.
What You'll Learn:
- The hidden costs of duplicative efforts and why most organizations drastically underestimate them
- How a "build once, use many" approach can reduce delivery costs by 30-40% and accelerate use cases
- Why most data product costs are one-time investments that most teams fail to amortize
- What a governed data marketplace looks like and how it drives adoption and trust
- How embedding governance at inception can help make data products reusable by default (not by accident)
Register Now to attend the webinar Stop Rebuilding What You Already Have: Why Data Product Reusability Is the Key to AI-Ready Data.
Don't miss this live event on Wednesday, March 25th, 11 AM PT / 2 PM ET.
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MODERATOR |
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John O'Brien
Principal Advisor and Industry Analyst
Radiant Advisors |
Ryan Crochet
Director of Product Marketing
Quest |
Stephan Liozu
Chief Value Officer
Quest |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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