Nimble Storage, the predictive flash storage provider, has released global survey* results around the impact application performance delays have on company performance.
The Mind the Gap report, which Nimble Storage produced in collaboration with Oxford Economics, found that delays in propagating and refreshing application data – the app-data gap – can cause significant productivity drains and economic losses through customer dissatisfaction and damage to a company’s overall speed of business and reputation.
Based on a calculation derived from the survey results, more than half (57%) of workers believe that more than 10% of their workday is wasted waiting on technology to deliver the information they need.
IT professionals may not realise the magnitude of the problems residing within their own companies, allowing the small delays from the app-data gap to add up to big headaches. While half of Southeast Asian business users say they avoid using some software applications at work because they run too slowly, only 18% of IT professionals think their users are either unsatisfied or very unsatisfied with the way software systems work at their companies.
A corresponding report, Can Machine Learning Prevent Application Downtime?, analyses data collected by Nimble Storage and points to the most pertinent hurdles impacting the speed at which companies access the data that powers applications.
Key findings for Mind the Gap: How Application Delays Affect Company Performance:
Respondents from Southeast Asia are one of the most demanding regions, with 73% agreeing that the speed of applications they use significantly affects their ability to perform their best.
Fifty-seven percent of Southeast Asian respondents say they lose more than 10% of their workday waiting on technology to deliver the information they need, compared with 42% in the UK, 39% in Australia, and 30% in Germany.
43% of Southeast Asian respondents say they waste more than 10 minutes each workday waiting for a software application to respond.
Half of respondents avoid using certain applications at work because they run too slowly.
Close to nine in 10 (88%) of respondents said they are less tolerant of delays than they were five years ago.
Millennials impacted the most
Nearly eight in 10 (77%) of Millennials say that suboptimal application performance affects their ability to achieve their personal best, compared with just half of Baby Boomers and
72% of Gen Xers.
Half of Millennials surveyed say they’ve stopped using an application because it runs too slowly — significantly more than users in other age cohorts
Over three-fourths of Millennials say they occasionally or constantly experience delays when accessing or inputting information with business software, compared with 60% of Baby Boomers.
“It’s no mystery why business users expect access to data to be immediate and continuous. The conundrum facing IT decision makers is how to predict and prevent performance bottlenecks before users perceive a slowdown in responsiveness,” said Suresh Vasudevan, CEO, Nimble Storage.
“The performance bottleneck between the data and the application, which we call the ‘app-data gap’, negatively impacts employee work time and ultimately impairs business performance. We believe that by bypassing reactive approaches for root cause analysis that typically take days or weeks, IT departments can harness data sciences and machine learning to predict and prevent barriers to data velocity while fully empowering employees to achieve their best.”
Machine learning to prevent application downtime?
While it’s easy and commonplace to point to data storage as the primary culprit for the app-data gap, the factors leading to application slowdowns come from a range of issues across the infrastructure stack. According to a Nimble Storage Predictive Analytics Report, which analysed more than 12,000
cases documenting examples of app-data gap-related issues across the Nimble installed base of
more than 7,500 customers, 54% of all issues have nothing to do with storage.
The majority of issues arise from challenges with configuration (28%), interoperability (11%), non-
storage best practices impacting performance (8%) and host, compute or virtual machine-related issues (7%). Of the 46% of storage issues detected, hardware and software problems, software update assistance and performance setbacks are most common.
These findings debunk the IT professionals’ first instinct that storage infrastructure is the primary
cause of application performance issues. This presumption leads IT professionals to implement
fast flash-based storage technologies to accelerate performance but flash alone does not address
the 54% of unrelated storage issues. To close the app-data gap, Nimble Storage says that IT organisations need to leverage predictive analytics that incorporates both data science and machine learning to optimise the performance and availability of applications.
Interested?
Download the Mind the Gap report
Download the Machine Learning report
*The report surveyed nearly 3,000 IT professionals and business application users based in the US, Germany, UK, Australia, and Southeast Asia. Nearly two-thirds of all respondents and 75% of Southeast Asian respondents reported that the speed of applications they use significantly impacts their ability to perform their best in the workplace.
The Mind the Gap report, which Nimble Storage produced in collaboration with Oxford Economics, found that delays in propagating and refreshing application data – the app-data gap – can cause significant productivity drains and economic losses through customer dissatisfaction and damage to a company’s overall speed of business and reputation.
Based on a calculation derived from the survey results, more than half (57%) of workers believe that more than 10% of their workday is wasted waiting on technology to deliver the information they need.
IT professionals may not realise the magnitude of the problems residing within their own companies, allowing the small delays from the app-data gap to add up to big headaches. While half of Southeast Asian business users say they avoid using some software applications at work because they run too slowly, only 18% of IT professionals think their users are either unsatisfied or very unsatisfied with the way software systems work at their companies.
A corresponding report, Can Machine Learning Prevent Application Downtime?, analyses data collected by Nimble Storage and points to the most pertinent hurdles impacting the speed at which companies access the data that powers applications.
Key findings for Mind the Gap: How Application Delays Affect Company Performance:
Respondents from Southeast Asia are one of the most demanding regions, with 73% agreeing that the speed of applications they use significantly affects their ability to perform their best.
Fifty-seven percent of Southeast Asian respondents say they lose more than 10% of their workday waiting on technology to deliver the information they need, compared with 42% in the UK, 39% in Australia, and 30% in Germany.
43% of Southeast Asian respondents say they waste more than 10 minutes each workday waiting for a software application to respond.
Half of respondents avoid using certain applications at work because they run too slowly.
Close to nine in 10 (88%) of respondents said they are less tolerant of delays than they were five years ago.
Millennials impacted the most
Nearly eight in 10 (77%) of Millennials say that suboptimal application performance affects their ability to achieve their personal best, compared with just half of Baby Boomers and
72% of Gen Xers.
Half of Millennials surveyed say they’ve stopped using an application because it runs too slowly — significantly more than users in other age cohorts
Over three-fourths of Millennials say they occasionally or constantly experience delays when accessing or inputting information with business software, compared with 60% of Baby Boomers.
“It’s no mystery why business users expect access to data to be immediate and continuous. The conundrum facing IT decision makers is how to predict and prevent performance bottlenecks before users perceive a slowdown in responsiveness,” said Suresh Vasudevan, CEO, Nimble Storage.
“The performance bottleneck between the data and the application, which we call the ‘app-data gap’, negatively impacts employee work time and ultimately impairs business performance. We believe that by bypassing reactive approaches for root cause analysis that typically take days or weeks, IT departments can harness data sciences and machine learning to predict and prevent barriers to data velocity while fully empowering employees to achieve their best.”
Machine learning to prevent application downtime?
While it’s easy and commonplace to point to data storage as the primary culprit for the app-data gap, the factors leading to application slowdowns come from a range of issues across the infrastructure stack. According to a Nimble Storage Predictive Analytics Report, which analysed more than 12,000
cases documenting examples of app-data gap-related issues across the Nimble installed base of
more than 7,500 customers, 54% of all issues have nothing to do with storage.
The majority of issues arise from challenges with configuration (28%), interoperability (11%), non-
storage best practices impacting performance (8%) and host, compute or virtual machine-related issues (7%). Of the 46% of storage issues detected, hardware and software problems, software update assistance and performance setbacks are most common.
These findings debunk the IT professionals’ first instinct that storage infrastructure is the primary
cause of application performance issues. This presumption leads IT professionals to implement
fast flash-based storage technologies to accelerate performance but flash alone does not address
the 54% of unrelated storage issues. To close the app-data gap, Nimble Storage says that IT organisations need to leverage predictive analytics that incorporates both data science and machine learning to optimise the performance and availability of applications.
Interested?
Download the Mind the Gap report
Download the Machine Learning report
*The report surveyed nearly 3,000 IT professionals and business application users based in the US, Germany, UK, Australia, and Southeast Asia. Nearly two-thirds of all respondents and 75% of Southeast Asian respondents reported that the speed of applications they use significantly impacts their ability to perform their best in the workplace.
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