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DataOps Is Maturing

DataOps as a practice is maturing, according to a survey from Unravel Data.

This year, more than 44% of respondents reported they are actively employing DataOps methodologies, compared to just less than a quarter (21%) of respondents in 2022, representing a 110% increase from the year prior.

Further demonstrating the maturing DataOps practice, only 20% of respondents in this year's survey said they were at the beginning stage compared to 41% last year.

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Jump to infographic below

Additional survey findings include:

Cloud spending is now a critical KPI for majority of data teams

More than two-thirds of data teams surveyed said that cloud spending has become a KPI of high strategic importance. When responses were broken down by role, almost 80% of business stakeholders said cloud spending was a critical KPI while just over half (55%) of data practitioners indicated the same.

Cloud resources are underutilized

In addition to cloud spending being elevated as a top KPI, almost half (44%) of all respondents in this year's survey also believe they are leaving money on the table when it comes to their public cloud utilization.

Almost a quarter of respondents (23%) said they were unable to even estimate what percentage of their cloud resources went unused.

FinOps interest is high yet adoption lags

Despite the fact that data teams have reported a lack of visibility into cloud spending, the adoption of mature FinOps practice was not viewed as an immediate priority among respondents with just over 20% reporting that their data teams have an established FinOps practice, while a third of data teams are still in the early planning phase of implementing FinOps.

Data reliability emerges as the top challenge

This year when participants were asked what they viewed as the top challenge with operating their data stack, 41% of respondents cited the lack of data quality as their most significant obstacle while 35% noted that the lack of visibility across their environments was the second biggest obstacle to managing their data stack.


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DataOps Is Maturing

DataOps as a practice is maturing, according to a survey from Unravel Data.

This year, more than 44% of respondents reported they are actively employing DataOps methodologies, compared to just less than a quarter (21%) of respondents in 2022, representing a 110% increase from the year prior.

Further demonstrating the maturing DataOps practice, only 20% of respondents in this year's survey said they were at the beginning stage compared to 41% last year.

Image removed.

Jump to infographic below

Additional survey findings include:

Cloud spending is now a critical KPI for majority of data teams

More than two-thirds of data teams surveyed said that cloud spending has become a KPI of high strategic importance. When responses were broken down by role, almost 80% of business stakeholders said cloud spending was a critical KPI while just over half (55%) of data practitioners indicated the same.

Cloud resources are underutilized

In addition to cloud spending being elevated as a top KPI, almost half (44%) of all respondents in this year's survey also believe they are leaving money on the table when it comes to their public cloud utilization.

Almost a quarter of respondents (23%) said they were unable to even estimate what percentage of their cloud resources went unused.

FinOps interest is high yet adoption lags

Despite the fact that data teams have reported a lack of visibility into cloud spending, the adoption of mature FinOps practice was not viewed as an immediate priority among respondents with just over 20% reporting that their data teams have an established FinOps practice, while a third of data teams are still in the early planning phase of implementing FinOps.

Data reliability emerges as the top challenge

This year when participants were asked what they viewed as the top challenge with operating their data stack, 41% of respondents cited the lack of data quality as their most significant obstacle while 35% noted that the lack of visibility across their environments was the second biggest obstacle to managing their data stack.


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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...