How to realize value from cloud analytics faster — and with less cost and risk
The migration of analytics and AI workloads to the cloud can be complex and challenging. This white paper explores why companies struggle to realise value from cloud analytics, including unexpected costs, long time-to-value, and excessive time spent rewriting code.
The paper outlines a three-phase framework to understand these challenges and offers expert insights on overcoming them. Key recommendations include:
- Using an enterprise-grade analytics platform to de-risk and accelerate cloud journeys
- Allowing developers freedom of choice in tools with centralised governance
- Democratising analytics with no-code/low-code tools
Read on now to learn how a modern data and AI platform can streamline your cloud journey.