Infographic: Optimize Your Cloud with These Big Data Cloud Technology Insights

Big Data and Cloud Survey: Potential and Challenges in Equal Measure

The world produces 2.5 quintillion bytes of data every single day. To businesses, the value of this data lies in its potential to deliver highly actionable and timely insights. These insights can drive processes, streamline decision-making, and innovate product cycles. The surge of big data spending clearly indicates businesses priorities here. Big data revenue will increase from $189.1 billion in 2019 to $274.3 billion by the end of 2022.

As well as being swamped by unprecedented amounts of data, many businesses are now dealing with cloud challenges. Many businesses have transferred many of their applications and critical processes to the cloud, in an attempt to accelerate tasks and reduce operational expenses. More than 90% of global enterprises are scheduled to adopt hybrid cloud strategies by 2022.

How are businesses coping with this double challenge: massive amounts of data and the complexity of cloud computing? 

We surveyed 750 business enterprises to address these topics. Our key findings included:

  • 64% of enterprises are highly concerned about “cost management and containment.”
  • 1 in 3 respondents projected their cloud-related expenses to be 20% to 40% over their initial allocation
  • 1 in 12 enterprises said their cloud spending will be over budget by 40%.

Our survey reveals the truth of big data cloud computing. If applied and optimized right, big data and cloud technologies can lead to excellent results. However, shifting to the cloud has serious challenges that can shock users and impede migration success. Similarly, big data is powerful, but without the right tools it is simply daunting and confusing. Companies need frameworks and tools that can help them maximize the value of their data, and offer actionable recommendations to every business unit. 

Check out our survey results and find out more about how businesses have optimized their big data and cloud tech.

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