Enterprises are utilizing data in innovative ways and fast realizing the importance of making it accessible, reliable, and secure. Cloud-based systems enable organizations to share and consume data at scale, which reduces the time to gather meaningful insights and drives better decision-making. In recent years, cloud adoption has gained significant ground with hyperscalers investing in end-to-end Data and Analytics (D&A) services to augment their cloud infrastructure capabilities. However, a single cloud vendor can no longer meet all enterprise requirements, which is compelling enterprises to adopt a multi-cloud approach, with most enterprises having two or more clouds in their ecosystems.

The multi-cloud ecosystem allows enterprises to move between different clouds, leverage best-of-breed solutions, avoid vendor lock-ins, optimize costs, increase the availability of applications and data, and ensure regulatory compliance and governance of data. However, multi-cloud environments present certain data-related challenges due to their associated complexities.

In this report, we examine the emergence of multi-cloud and its associated data challenges and recommend possible ways to tackle these challenges.

Scope

All industries and geographies

Contents

This report looks at:

• Rise in cloud adoption
• Emergence of hybrid and multi-cloud ecosystems
• Key reasons for multi-cloud adoption
• Common data challenges that enterprises face when adopting a multi-cloud architecture
• Methods to address the data challenges

Membership(s)

Data & Analytics

Sourcing and Vendor Management