Cloud complexity causes data disjoint

New research from Cloudera provides insights into the struggles of IT leaders across EMEA as they strive to get more value from their data.  There is lots of change happening within EMEA enterprises, indicating IT decision makers (ITDMs) must be agile and prepared for change. For instance, the study has revealed the complexities of operating in the cloud: nine-in-ten ITDMs surveyed (92%) plan to migrate more data to the cloud over the next three years, while 76% plan to repatriate data back on premises in the next 36 months. Data and compliance concerns (55%), cloud lock-in fears (54%) and non-compliance related cybersecurity concerns (52%) are cited as the main reasons for organizations not moving more of their data to the cloud.

The survey polled 850 ITDMs across the EMEA region regarding their organization’s cloud and data management practices, and the challenges they face in making all their data actionable. The results of the Evolve Data Study were published at the data conference, Evolve London, on June 21.

More than two-thirds (68%) of organizations currently store data in a hybrid environment, meaning they utilize both on-premises/private cloud and the public cloud. Additionally, seven out of ten respondents (72%) work in organizations that currently have a multi-cloud model, and are working with two or more hyperscalers.

“With data sitting across a mosaic of hybrid cloud environments, many organizations are finding it difficult to fully extract value from their data assets,” says Romain Picard, Senior Vice President EMEA at Cloudera. “Organizations need the capability to securely extract value from their data, regardless of where it resides. But with the emergence of modern data architectures, organizations can drive more value from their data and optimize their cloud costs at the same time.”

To extract more value from their data, organizations are increasingly embracing data analytics. But almost three quarters (72%) of respondents agree that having data sitting across different cloud and on-premises environments makes it complex to extract value from all the data in their organization. ITDMs currently estimate they are not using a third (33%) of their data effectively.

“At a time when most enterprises are looking for benefits from Artificial Intelligence, they need to stay ahead of the curve by using modern data architectures,” continues Romain Picard. “This approach enables all of their data to be ‘in play’ to deliver benefits to the organization while maintaining needed governance and security.”