How an Adaptive Analytics Fabric Helps Conquer the Top 5 Cloud Migration Pitfalls

Moving to the cloud can mean lower operating costs, the flexibility and scalability companies need to grow, and the agility to adapt to changing business landscapes.

But migrating your enterprise data to the cloud can be challenging. The cloud is a different operating environment, with new integrations, pricing models, security controls and optimization tactics.

This paper outlines five common pitfalls that organizations encounter while undergoing a cloud migration and how an adaptive analytics fabric can help avoid them.

You’ll learn what to look out for during and after a cloud migration, and how to use an adaptive analytics fabric to:

  • Make cloud operating costs more predictable
  • Minimize the impact of disparate data
  • Avoid the impact of cloud migration on reports and applications
  • Orchestrate security policies
  • Make cloud migration seamless for BI users

Whether you’re considering a migration to a cloud or hybrid-cloud environment, in the midst of a migration, or have already made the transition, an adaptive analytics fabric provides the confidence you need to move data from legacy systems, avoid disruptions in operations and unexpected costs, integrate all of your data into a single view, keep using your preferred BI tools, and ensure all of your existing security solutions and policies governing your data remain in place.


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