Cloud data management challenges

2023-06-01 17:00:53

Difficulties in exploiting data stored in different corporate cloud environments

The study reveals that nearly three out of five French decision makers say they use a hybrid environment, combining private cloud and public cloud solutions. However, more than three-quarters of them recognize that it is difficult to fully leverage the value of data stored in different cloud and on-premises environments for their business.

Nine in ten IT decision makers surveyed plan to migrate more data to the cloud over the next three years, citing cost reduction, storage optimization and improved data accessibility as the top three drivers of this transformation. Only 6% have repatriated on-premises data in the past 12 months, but 71% said they plan to do so within the next three years due to growing concerns over vendor lockout, security and privacy. performance issues when processing large datasets in real time.

Concerns regarding the proliferation of analytics tools and data silos

In an effort to get the most out of their data, organizations are increasingly using analytics solutions, primarily used by IT departments, followed closely by marketing, sales, finance, operations and resources. human. However, 63% of IT decision makers are concerned regarding the proliferation of analytics tools within their organization; 5 in number on average.

Additionally, two-thirds of IT decision makers consider data silos to be a major barrier that prevents their organization from making real-time decisions. The same proportion of respondents report that this situation leads to a financial loss.

Growing concerns over vendor lock-in, security and cybersecurity

The study also shed light on growing enterprise concerns around vendor lock-in, security and cybersecurity. The results indicate that some companies are hesitant to move more of their data to the cloud because of these overriding concerns.

These concerns are mostly related to vendor lock-in fears, data governance and privacy concerns, performance issues when processing large real-time datasets, and cybersecurity concerns. related to non-compliance.

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