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Ignore Big Data in 2013 At Your Own Peril

Pete Goldin
Editor and Publisher
APMdigest

In the Inc. special report on How (and Where) to Make Money in 2013 (and Beyond), author Erik Sherman places Big Data on the list of 5 Trends to Ignore in 2013. In contrast, I suggest that ignoring Big Data is not a business savvy move in 2013.

Sherman says: "Everyone needs big data, if you read the business and technology magazines. But the term has become an amorphous catch phrase that covers everything. Real big data involves millions or even billions of data points. We're talking complicated tasks like predicting the weather, or Google looking for trends among all the search queries it sees day in, day out."

"That level of data analysis is probably nowhere near what you need for your business," he adds. "Most decisions are built on small data: dozens or hundreds or maybe thousands of data points. If you don't have systems in place that let you regularly and predictably make effective use of the data you already have, then looking at big data is like saying you want to jump into the ocean to avoid getting damp from a summer shower."

Application Performance Management is the perfect example of why Sherman is wrong. IT monitoring can produce millions and even billions of metrics. And the technology is out there to crunch those metrics and analyze them, and help improve application performance.

In an article about a Big Data survey, I said: With the growth of IT infrastructure, as well as the growth of applications and their complexity, comes an increase in performance metrics. In fact, 83% of respondents agreed with Gartner’s estimate that metric collection has increased 300% or more in the last four years. And one respondent from a large corporation has seen the IT estate grow tenfold, to the point where they now collect over a billion metrics daily.

Several respondents also confirmed that APM tools are part of the huge explosion in metric collection, generating thousands of KPIs per application.

Today, analytics technologies are emerging that can make sense out of this Big Data. This technology has a starring role in APMdigest's APM Predictions for 2013.

“There’s no question that Big Data has become a driver for Advanced Performance Analytics (APA), where capabilities for processing tens of millions of KPIs or data points in real time or near real time is becoming more and more common,” said Dennis Drogseth, VP, Application and Business Services at EMA, in an APMdigest article.

In an APMdigest blog Graham Gillen of Netuitive says: "The results are well documented with one global telco reporting that it is using Behavior Learning technology and predictive analytics to analyze more than a million metrics simultaneously allowing it to eliminate 3,480 hours annually in service degradation representing a business savings of $18 million."

APM is just one example of why businesses should be paying attention to Big Data in 2013.

I would say that ignoring Big Data in business in 2013 is like ignoring a locomotive while standing on the tracks.

Pete Goldin is Editor and Publisher of APMdigest

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Ignore Big Data in 2013 At Your Own Peril

Pete Goldin
Editor and Publisher
APMdigest

In the Inc. special report on How (and Where) to Make Money in 2013 (and Beyond), author Erik Sherman places Big Data on the list of 5 Trends to Ignore in 2013. In contrast, I suggest that ignoring Big Data is not a business savvy move in 2013.

Sherman says: "Everyone needs big data, if you read the business and technology magazines. But the term has become an amorphous catch phrase that covers everything. Real big data involves millions or even billions of data points. We're talking complicated tasks like predicting the weather, or Google looking for trends among all the search queries it sees day in, day out."

"That level of data analysis is probably nowhere near what you need for your business," he adds. "Most decisions are built on small data: dozens or hundreds or maybe thousands of data points. If you don't have systems in place that let you regularly and predictably make effective use of the data you already have, then looking at big data is like saying you want to jump into the ocean to avoid getting damp from a summer shower."

Application Performance Management is the perfect example of why Sherman is wrong. IT monitoring can produce millions and even billions of metrics. And the technology is out there to crunch those metrics and analyze them, and help improve application performance.

In an article about a Big Data survey, I said: With the growth of IT infrastructure, as well as the growth of applications and their complexity, comes an increase in performance metrics. In fact, 83% of respondents agreed with Gartner’s estimate that metric collection has increased 300% or more in the last four years. And one respondent from a large corporation has seen the IT estate grow tenfold, to the point where they now collect over a billion metrics daily.

Several respondents also confirmed that APM tools are part of the huge explosion in metric collection, generating thousands of KPIs per application.

Today, analytics technologies are emerging that can make sense out of this Big Data. This technology has a starring role in APMdigest's APM Predictions for 2013.

“There’s no question that Big Data has become a driver for Advanced Performance Analytics (APA), where capabilities for processing tens of millions of KPIs or data points in real time or near real time is becoming more and more common,” said Dennis Drogseth, VP, Application and Business Services at EMA, in an APMdigest article.

In an APMdigest blog Graham Gillen of Netuitive says: "The results are well documented with one global telco reporting that it is using Behavior Learning technology and predictive analytics to analyze more than a million metrics simultaneously allowing it to eliminate 3,480 hours annually in service degradation representing a business savings of $18 million."

APM is just one example of why businesses should be paying attention to Big Data in 2013.

I would say that ignoring Big Data in business in 2013 is like ignoring a locomotive while standing on the tracks.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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