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In this guide, you will learn how to:
- How to scale self-service analytics securely with AI
- Proven strategies from leading enterprises to drive faster, smarter decisions
- A practical framework for collaborative, impactful analytics
Put trusted insights into the hands of those who need them most—securely, at scale, and with the power of AI.
The days of waiting weeks for reports are over. In today’s data-driven world, success hinges on how quickly business teams can access and act on insights—independently. Self-Service Analytics has become the new standard for modern enterprises, enabling faster decisions and reducing reliance on IT.
Now, with the rise of Generative AI, Self-Service Analytics is evolving even further—bringing automation, intelligence, and agility to business workflows like never before.
What’s Inside the Guide:
- How Self-Service Analytics unlocks AI-powered, real-time insights for business users
- A practical framework to scale Self-Service securely and responsibly
- Strategies to integrate structured and unstructured data across modern ELT pipelines
- Governance practices to ensure trusted, compliant, and high-quality insights
Inside, you’ll find actionable examples—how Air Canada used Gen AI to transform marketing workflows, how Standard Chartered built a structured self-service reporting model, and how Bankers’ Bank eliminated manual reporting with Dataiku.
This practical guide from Infocepts and Dataiku equips data and analytics leaders with the tools to modernize their Self-Service programs, overcome scaling challenges, and build a governed, collaborative, and AI-augmented analytics ecosystem.
Download the guide now to discover how leading enterprises are transforming decision-making with self-service analytics—powered by Gen AI.