A smarter, faster way to build what BI never could

Why AI outpaces static BI in data app development.

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BI can’t keep up with modern data demands.

Business intelligence platforms were built for historical reports and lagging metrics, not fast, custom analytics. Teams trying to move quickly still face drag from dashboards that report historical data instead of enabling action. Generative AI is starting to appear in these tools, but the core limitations of customization, flexibility, and enterprise scale remain.

AI-powered data app development offers a smarter, faster alternative. Instead of waiting on engineering or working around platform constraints, analysts, data scientists, and domain experts can now build production-grade tools themselves. With “code-optional” workflows and AI as a development partner, teams move from static insights to interactive apps that integrate with real systems — without trading speed for flexibility.

Download the paper to learn how AI is changing the way data professionals build, deploy, and scale analytics. What’s inside:

  • Why BI platforms can’t support the next generation of data products
  • The role of generative AI in “code-optional” app development
  • How data teams are shipping apps faster, without full-stack programming skills
  • A case study on how a telecom analytics company cut reporting time and increased growth using AI
  • Key steps for implementing AI into your data app development workflow