The journey from data science notebooks to data products
How data science teams are transforming notebook explorations into production data apps.
Data science notebooks are the starting point for exploration and experimentation. However, when analytical workflows become more complex, dynamic data products and apps are bridging the gap between experimentation and production.
Data products, alongside AI technology, are changing how businesses use data to move beyond traditional business intelligence for deeper, interactive insights. Data products enable cross-functional decisions, often through self-service applications. Plotly’s App Studio exemplifies this shift, transforming notebooks into powerful data apps.
Download this white paper to learn:
- What data products are and how they differ from traditional reporting tools
- The benefits of evolving notebooks into production-grade data products
- How AI is accelerating the growth and capabilities of data science teams
- Real-life examples of companies utilizing data products for decision-making
- How Plotly’s App Studio can help you create custom, collaborative data applications
