Introducing the Performance Analytics and Decision Support (PADS) Framework - Part One
April 08, 2014

Gabriel Lowy
TechTonics

Share this

A new Performance Analytics and Decision Support (PADS) framework linking advanced performance management and big data analytics technologies will emerge in 2014. The PADS framework enables organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex IT systems across the entire application delivery chain.

PADS establishes best practices for assuring user experience, reducing risk and improving operational decision making in a more efficient, secure and timely fashion. A more holistic approach that breaks down data silos across different IT teams and departments is the path to assuring service delivery, gaining deeper systems and customer insights, and improving operational efficiency.

The Big Data Challenge

As IT groups acquired discrete tools that focused on a particular hardware, network or software issue, many organizations have ended up with a patchwork quilt of point solutions that do not work well together. And while each tool might be indicating that performance of a particular segment or component is “normal”, outages persist and the actual user experience continues to disappoint.

New distributed computing architectures and approaches to agile application development have made computing far more scalable and dynamic than ever before. But cloud, mobile and social megatrends have also resulted in unprecedented levels of complexity. As a result, more components of the application delivery chain are obscured from IT and line of business owners.

Despite the wealth of data and content available today, most business users continue to struggle to access information they need to gain deeper insights into the business for better and faster decision making. Traditional performance monitoring solutions for application, network, infrastructure and business transactions have become overwhelmed by the scale of data required to comprehensively manage application performance.

The proliferation of server virtualization and the tools needed to monitor and manage virtualized dynamic infrastructures and highly distributed application architectures only expand the data points and metrics that need to be analyzed.

Consequently, vital information is often overlooked, resulting in missed opportunities to uncover hidden patterns, relationships and dependencies. Additionally, whatever data is gathered is not normalized or time synchronized, making analysis and rapid problem resolution impossible. Yet pouring more data into obsolete analytics tools only compounds the problem.

Making Performance a Priority

Performance visibility and greater operational intelligence should be paramount to all organizations amid rising systems complexity and unabated data growth. Numerous surveys have shown high availability of applications as the top priority of business users, customers and CIOs. But the more business processes come to depend on multiple applications and the underlying infrastructure, the more susceptible they are to performance degradation.

The common components of ROI – reduced operating costs, enhanced business productivity, and incremental revenue generation – are closely associated with application performance. Service outages can be quite costly. Depending on the industry sector, slow responsiveness or complete outage (brownouts or downtime) of a company's most business critical application can cost between $100,000 and $1 million per hour. The fallout from poor transaction performance can be a loss of customers, regulatory fines and damage to firm reputation.

Nothing shines a light on an IT team's success or failure as application performance and availability. With uptime as their priority, they need to adapt a more holistic approach to performance management and decision analytics. Through best practices, they can help their companies leverage IT investments to discover, interpret and respond to the myriad events that impact their operations, security, compliance and competitiveness.

A New Generation of Performance Analytics Techniques

More enterprises have recognized the need for a new generation of performance analytics techniques that go beyond the scope of traditional monitoring tools, which were designed for smaller and more static environments.

These new performance analytics techniques must help the enterprise in three ways:

First, enterprises need to understand what levels of performance (i.e. speed and availability) are needed from their increasingly cloud-based and mobile applications in order to deliver fast, reliable and highly satisfying end-user experiences. To better understand the properties of the components and their place in the overall application delivery chain requires a higher-level assessment of the relationships to each other as well as to the wider system and environment. A comprehensive performance analytics platform provides visibility across the entire application delivery chain – from behind the firewall and out to the Web, including third-party cloud providers.

Second, the “point of delivery”, which is where the user accesses a composite application, is the only perspective from which user experience should be addressed. As such, the most relevant metric for any IT organization is not about infrastructure utilization. Instead, it is at what point of utilization the user experience begins to degrade. Enterprises need to measure the true experiences of their most important end-user segments, including those that are remote and mobile.

Third, to provide insights that line of business users can understand and value, IT must establish an effective link between performance management and analytics.

The PADS Framework, for Performance Analytics and Decision Support, represents a more holistic approach to adaptive, proactive and predictive operational data management and analysis. The framework links advanced performance management and big data analytics technologies to enable organizations to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex virtualized and mobile systems across the entire application delivery chain.

Find out more about PADS: Introducing the Performance Analytics and Decision Support (PADS) Framework- Part Two

Gabriel Lowy is the founder of TechTonics Advisors, a research-first investor relations consultancy that helps technology companies maximize value for all stakeholders by bridging vision, strategy, product portfolio and markets with analysts and investors
Share this

The Latest

June 25, 2019

Employees at British businesses rate computer downtime as the most significant irritant at their current workplace (41 percent) when asked to pick their top three ...

June 24, 2019

The modern enterprise network is an entirely different beast today than the network environments IT and ops teams were tasked with managing just a few years ago. With the rise of SaaS, widespread cloud migration across industries and the trend of enterprise decentralization all playing a part, the challenges IT faces in adapting their management and monitoring techniques continue to mount ...

June 20, 2019

Almost two-thirds (63%) of organizations now allow technology to be managed outside the IT department, a shift that brings both significant business advantages and increased privacy and security risks, according to the 2019 Harvey Nash/KPMG CIO Survey ...

June 19, 2019

In a post-apocalyptic world, shopping carts filled with items sit motionless in aisles, left abandoned by the humans who have mysteriously disappeared. At least that’s the cliche scene depicted by sci-fi filmmakers over the past two decades. The audience is left to wonder what happened to force people to stop what they were doing and leave everything behind. If this past weekend was any indication, Armageddon begins when Target's cash registers shut down ...

June 18, 2019

Three-quarters of organizations surveyed by Gartner increased customer experience (CX) technology investments in 2018 ...

June 17, 2019

Users today expect a more consumer-like experience and many self-service web sites are too focused on automating the submission of tickets and presenting long, technically written knowledge articles with little to no focus on UX. Understanding the need for a more modern experience, a newer concept called "self-help" now dominates the conversation in its ability to provide a more deliberate knowledge experience approach that better engages the user and dramatically improves the odds of them finding an answer ...

June 13, 2019

Establishing a digital business is top-of-mind, even more so than last year, as 91% of organizations have adopted or have plans to adopt a digital-first strategy, according to IDG Communications Digital Business Research ...

June 12, 2019

If digital transformation is to succeed at the pace enterprises demand, IT teams, the CIOs who lead them, and the boardroom must forge a far greater alignment than presently exists. That is the over-arching sentiment expressed by IT professionals in a recent survey on the state of IT infrastructure and roadblocks to digital success ...

June 11, 2019

Given the incredible amount of traffic traversing corporate WANs, it's not surprising that businesses are seeing performance issues. If anything, it's amazing applications work as well as they do ...

June 10, 2019

Are your business applications sluggish? Choppy? Prone to getting hung up or crashing at the most inopportune times? If these symptoms sound familiar, you might be suffering from the heartache of … poor application performance. Stop me if any of this sounds familiar ...