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Companies Experiencing Performance Problems Every 5 Days

IT Complexity and Performance Challenges are Killing Digital Transformation Initiatives
John Van Siclen

Organizations are encountering user, revenue or customer-impacting digital performance problems once every five days, according a new study by Dynatrace.

Furthermore, the study entitled Global Digital Performance and Transformation Audit reveals that individuals across business and IT functions are losing a quarter of their working lives battling to address these problems.

The study found that 75 percent of respondents had low levels of confidence in their ability to resolve digital performance problems. Equally concerning is that 48 percent of these respondents stated digital performance challenges were directly hindering the success of digital transformation strategies in their organizations. When asked what was causing these performance challenges, respondents most frequently pointed to the increasing complexity of their technology environments.

A business' reliance on technology to remain competitive and succeed in a modern world has accelerated more in the last 3 years than during the last 30. While today's technology is extremely powerful, the result is a hyperscale, hypercomplex corporate IT environment, which can create a very real barrier to succeeding at digital performance. If you don't master this complexity challenge, at the end of the day your customers, employees and bottom line will suffer.

The research also uncovered that a combination of the above issues is directly contributing to individuals across multiple business functions wasting hundreds of hours each year dealing with digital performance issues that impact customers and revenue.

Average time each business and IT professional loses battling digital performance problems:

■ IT operations professionals lose 522 hours per year or over 2 hours every business day.

■ Software developers lose 548 hours per year or over 2 hours every business day.

■ E-commerce professionals lose 652 hours per year or over 2.5 hours every business day.

■ Marketing professionals lose 470 hours per year or nearly 2 hours every business day.
.
■ Customer service professionals lose 496 hours per year or 2 hours every business day.

If they could reclaim this time business and IT professionals' productivity would improve:

■ 32 percent of IT operations professionals would spend more time researching and deploying new systems/technologies.

■ 36 percent of app and web developers would spend more time on research, development and deploying new technologies.

■ 36 percent of e-Commerce specialists would focus on optimizing revenue and engagement.

■ 31 percent of digital marketing and communications professionals would spend more time on strategy and planning.

■ 30 percent of customer experience and support professionals would spend more time engaging with customers and building advocacy programs.

To differentiate and stay ahead of changing consumer expectations, businesses must make sure they're able to instantly pinpoint problems in the IT environment that are impacting digital performance. The key is to identify degradations that affect users immediately, pinpoint root cause precisely and fix before users are affected.

Given the hyper-complexity of today's application environments and the tech stacks they run on, an all-in-one monitoring approach powered by artificial intelligence has emerged as a new requirement. It's no longer humanly possible to drill into multiple dashboards, research a variety of alerts and search through thousands of log files to discover root cause in the few minutes you have between initial degradation and severe user impact.

Methodology: Research Now conducted the survey on behalf of Dynatrace. Survey respondents were 1,239 IT and business professionals from enterprises in the USA, UK, France, Germany and Australia.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Companies Experiencing Performance Problems Every 5 Days

IT Complexity and Performance Challenges are Killing Digital Transformation Initiatives
John Van Siclen

Organizations are encountering user, revenue or customer-impacting digital performance problems once every five days, according a new study by Dynatrace.

Furthermore, the study entitled Global Digital Performance and Transformation Audit reveals that individuals across business and IT functions are losing a quarter of their working lives battling to address these problems.

The study found that 75 percent of respondents had low levels of confidence in their ability to resolve digital performance problems. Equally concerning is that 48 percent of these respondents stated digital performance challenges were directly hindering the success of digital transformation strategies in their organizations. When asked what was causing these performance challenges, respondents most frequently pointed to the increasing complexity of their technology environments.

A business' reliance on technology to remain competitive and succeed in a modern world has accelerated more in the last 3 years than during the last 30. While today's technology is extremely powerful, the result is a hyperscale, hypercomplex corporate IT environment, which can create a very real barrier to succeeding at digital performance. If you don't master this complexity challenge, at the end of the day your customers, employees and bottom line will suffer.

The research also uncovered that a combination of the above issues is directly contributing to individuals across multiple business functions wasting hundreds of hours each year dealing with digital performance issues that impact customers and revenue.

Average time each business and IT professional loses battling digital performance problems:

■ IT operations professionals lose 522 hours per year or over 2 hours every business day.

■ Software developers lose 548 hours per year or over 2 hours every business day.

■ E-commerce professionals lose 652 hours per year or over 2.5 hours every business day.

■ Marketing professionals lose 470 hours per year or nearly 2 hours every business day.
.
■ Customer service professionals lose 496 hours per year or 2 hours every business day.

If they could reclaim this time business and IT professionals' productivity would improve:

■ 32 percent of IT operations professionals would spend more time researching and deploying new systems/technologies.

■ 36 percent of app and web developers would spend more time on research, development and deploying new technologies.

■ 36 percent of e-Commerce specialists would focus on optimizing revenue and engagement.

■ 31 percent of digital marketing and communications professionals would spend more time on strategy and planning.

■ 30 percent of customer experience and support professionals would spend more time engaging with customers and building advocacy programs.

To differentiate and stay ahead of changing consumer expectations, businesses must make sure they're able to instantly pinpoint problems in the IT environment that are impacting digital performance. The key is to identify degradations that affect users immediately, pinpoint root cause precisely and fix before users are affected.

Given the hyper-complexity of today's application environments and the tech stacks they run on, an all-in-one monitoring approach powered by artificial intelligence has emerged as a new requirement. It's no longer humanly possible to drill into multiple dashboards, research a variety of alerts and search through thousands of log files to discover root cause in the few minutes you have between initial degradation and severe user impact.

Methodology: Research Now conducted the survey on behalf of Dynatrace. Survey respondents were 1,239 IT and business professionals from enterprises in the USA, UK, France, Germany and Australia.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...