Build best-in-class data intelligence in the cloud
In this knowledge brief you’ll learn:
- Common challenges and missteps that come up with data cloud migrations
- How to build a foundation to get the most out of cloud-based data today and in the future
As businesses look to improve their agility and innovation by adopting cloud and hybrid cloud infrastructures, they quickly realize that migrating data to the cloud isn’t as simple as it sounds. Without the proper insights and preparation, they can encounter needless hurdles and additional pain points that limit their ability to get the most out of their data. However, Aberdeen Strategy & Research has found that leading organizations utilize solutions that give them the necessary insights and tools to ensure that a cloud migration is fast, reliable and ensures data quality.
This document shines a light on the challenges that CDOs face when executing a cloud data migration project, and how Best-in-Class organizations overcome those obstacles to reap the benefits of having intelligent data in the cloud.
CDOs and IT leaders across the globe have more data at their fingertips than they know what to do with, and they're constantly under pressure to maximize its value, access, and quality. One way these leaders are addressing this is by replacing legacy, on-prem infrastructure with processing solutions in the cloud.
The following sections reveal the challenges and complexities organizations face when optimizing for data intelligence in the cloud, then delve into how the adoption of powerful data systems enables businesses to be more innovative and efficient.