Lack of Network History Costs Large Enterprises Millions of Dollars Each Year, Survey Says
November 14, 2012
Share this

Large organizations have estimated the cost of network downtime ranges from hundreds of thousands to millions of dollars per hour, according to Endace's 2012 Network Visibility Survey.

The survey findings highlight the operational challenges being faced by IT teams as they come to terms with the latest high-speed, network-centric technologies such as cloud, unified communications and VDI.

Highlights from the survey, which is based on more than 100 interviews with senior network IT professionals from organizations with 5,000 to 200,000 employees, include the following about the current state of operational effectiveness:

- 23 percent of organizations experience serious service-affecting problems on a daily basis

- An additional 25 percent admit to experiencing serious network issues each month

- Organizations’ hardest network problems can take up to 30 days or more to rectify, making MAX-TTR (maximum time-to-resolution) an expensive issue for large, resource-constrained organizations

- Organizations can have up to 250 performance-related trouble tickets open at any given time, with half of respondents reporting that at least 50 percent of their trouble tickets stay open for more than 24 hours

- Nearly 40 percent of respondents noted that they do not know which applications are in use on their network, while 53 percent admit that employees use applications that violate IT policies

- Despite an abundance of monitoring tools, nearly 30 percent of organizations do not have a clear understanding of bandwidth utilization, which makes troubleshooting end-user issues extremely challenging

For obvious reasons, minimizing Time-to-Resolution on all types of service-affecting issues has become a top priority for organizations, putting IT operational teams squarely in the spotlight.

Comments from survey respondents confirmed that processes for diagnosing and remediating difficult issues are often ad-hoc.

“Most IT shops have invested heavily in detection technologies that alert on issues and correlation technologies that attempt to filter and triage the most important issues. But what we’ve learned from this study is that many shops still face long resolution times far too often,” said Spencer Greene, senior vice president of marketing and product management at Endace.

Share this

The Latest

May 21, 2024

IT service outages are more than a minor inconvenience. They can cost businesses millions while simultaneously leading to customer dissatisfaction and reputational damage. Moreover, the constant pressure of dealing with fire drills and escalations day and night can take a heavy toll on ITOps teams, leading to increased stress, human error, and burnout ...

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...

May 07, 2024

As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...