What you will learn
This 25‑page research eBook helps you understand:
- The true cost of one‑off, manual data project delivery
- Why data products are becoming the standard for trusted analytics and AI
- How leading organizations are measuring and capturing business value from data products
- Where automation delivers the best ROI in data product delivery
- How AI‑powered automation is expected to accelerate scale, quality, and reuse of data products
"The opportunity to standardize, automate, and scale the delivery of data products represents one of the most immediate, high-impact investments an organization can make in its AI and data strategy."
Stephen Catanzano, Omdia Principal Analyst
The burden of one-off data delivery
- 54% of enterprises take 4+ months to deliver first insights
- 70% spend 500+ person-hours per project (800+ average)
- 38% of total data team effort is spent on non-reusable projects
Top reasons enterprises are adopting data products
- 42% cite faster delivery of data analytic solutions
- 38% seek improved data quality
- 36% want standard definitions and governed reuse of trusted data
- 35% are focused on AI readiness
Data products are transformational
- Nearly 60% report KPI improvements of 20% or more
- 75% have achieved faster time to insight
- 73% have improved data accuracy
- 71% have increased analyst productivity
Automation and AI amplify business impact
- 40%+ report 15% or greater business impact improvement from automating any of the “Big Three” delivery steps
- 50% expect increased scalability from AI-driven automation
- 80% expect AI-driven automation of data modeling to increase scalability by 10% or more
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