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.
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.
The Latest
The edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure ...
While IT leaders are preparing organizations for accelerated generative AI (GenAI) adoption, C-suite executives' confidence in their IT team's ability to deliver basic services is declining, according to a study conducted by the IBM Institute for Business Value ...
The consequences of outages have become a pressing issue as the largest IT outage in history continues to rock the world with severe ramifications ... According to the Catchpoint Internet Resilience Report, these types of disruptions, internet outages in particular, can have severe financial and reputational impacts and enterprises should strongly consider their resilience ...
Everyday AI and digital employee experience (DEX) are projected to reach mainstream adoption in less than two years according to the Gartner, Inc. Hype Cycle for Digital Workplace Applications, 2024 ...
When an IT issue is not handled correctly, not only is innovation stifled, but stakeholder trust can also be impacted (such as when there's an IT outage or slowdowns in performance). When you add new technology investments and innovations into the mix, you have a recipe for disaster ...
To get a better understanding of the top issues facing IT teams in financial services, Auvik recently released its 2024 Financial Services IT Trends Report ... Not surprisingly, the experience of FinServ IT teams is significantly impacted by the onslaught of cyberattacks facing financial services organizations as well as the complex regulatory environment of this industry ...
The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures ...
When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution ...
The rapid rise of creative "right-brain" generative AI (GenAI) has opened the door to greater adoption of the more analytical "left-brain" AI decisioning solutions by global businesses, according to new research from Pegasystems ...
