Driving Your Business Decisions Using Predictive Analytics
February 09, 2011
Mark Lynd
Share this

Did you have trouble getting a good rate on your home mortgage? Are you happy with your FICO score? Well, whether you know it or not, you are the victor or victim of predictive analytics. Predictive analytics evaluates the current and past and makes predictions about the future. It is made up of numerous methods utilizing game theory, neural networks, statistics, time series analysis, to name a few. It is the hidden decision engine that drives many innovative businesses today.

In fact, predictive analytics is now part of our everyday lives and the decisions we make. For example, your medical prescriptions are tested using predictive analytics; underwriting the risk in your insurance policy uses predictive analytics and even identifying fraud against your credit card utilizes one or all of these methods. By building and employing models that depict the relationships among numerous variables such as credit card charges and location of those charges, then applying one of the predictive methods against it, inferences can be made as to future events or occurrences such as a potential fraudulent transaction. Predictive analytics’ use will continue to grow as more and more data is collected in nearly every walk of life.

Importance of Predicting IT Operations

One very important use of predictive analytics is in the information technology arena, specifically IT Operations. Historically, IT Operations has lagged behind the rest of the business in using predictive analysis to fuel innovation and further the business. That is changing slowly and many businesses are starting to harness predictive technologies to help fuel their growth.

The credit card transactions and FICO score described above are analyzed and calculated in the IT Operations area of the given financial service firms that provide this information. The systems used to collect the data and then provide back the inferred information is provided via services from the originating organization in the examples used earlier. These services are critical to these businesses and can have a huge financial impact on them.

What if the same methodologies for predictive business models could be turned inward to the supporting infrastructure to help IT get ahead of growing demand and performance of the other critical services they deliver, such as email, CRM, etc. The monitoring and management of these critical services in many leading organizations is accomplished using a Business Service Management product. A limited number of BSM vendors include predictive analytics in their offerings, which is a natural evolution of the BSM concept. Whereas traditionally BSM focuses on how well IT is supporting the business today, BSM+Predictive Analytics takes the next logical step to encompass how IT will support the business 3, 6, 12 or more months from now.

Many of these critical services are provided using numerous technologies such as wide-area networks, e-commerce, cloud computing, virtualization, virtual storage and others. And it seems like another new, more innovative technology is always around the corner. This rapid evolution of technologies and the criticality of the provided services are fundamentally changing how organizations are thinking about IT and IT projects.

We used to think in terms of technology projects with 12+ month lifecycles and long procurement processes. Capacity analysis for example took place once a year, usually in conjunction with the budgeting process, but not anymore. Now innovative businesses utilizing cutting-edge technology components have their resources allocated on-demand as business needs are identified.

Being able to predict outcomes and resource requirements provides a significant competitive advantage. If a company’s IT operations staff is able to predict when they will be running low on storage; identify bottlenecks in the WAN; identify potential performance enhancements; and reduce potential issues by not over-stressing resources using predictive analytics, then it can dramatically increase the scalability and agility of its business and allow it to take on more customers or provide more services.

From a cost perspective, accurate knowledge of future resource requirements, particularly storage and power, enable IT to make the right purchase at the right market conditions and maximize the return on every dollar spent. These kinds of capabilities are no longer optional for thriving concerns, instead they are critical to competing in the 21st century.

Predictive Analytics in the Future

As predictive analytics becomes more prevalent and more businesses open up to the idea of using it to help drive their growth, it will become imperative that predictive analysis becomes aligned with the company’s goals.

Businesses that provide on-demand services will increasingly tax IT Operations’ ability to provide the critical services in a scalable and highly available manner. Entire business models and supporting operations will be transformed overnight to adapt to changing business conditions and timelines will continue to shrink. Therefore, using predictive analytics will become critical to determining innovative ways to define and drive success not only in IT, but also for the entire business.

About Mark Lynd

In addition to his role as President and COO of Firescope, Mark Lynd is the chief architect of all FireScope solutions. Lynd previously served as Global CTO at Lone Star Funds\Hudson Advisors, a multi-billion dollar global private equity firm. He served six years as CEO of Vectrix, a venture-backed company and has served in various executive, senior and technical management roles with Metromedia, Perot Systems, Amerada Hess, DC Systems and GTE, with more than 23 years of experience in IT, information security, media and ITSM. Mark holds a Bachelor's degree from the University of Tulsa, along with industry certifications such as the CISSP, ISSAP, ISSMP, PMP and CEH. He was named an Ernst & Young's "Entrepreneur of Year - SW Region" Finalist. Mark has served and serves on several corporate boards including FireScope, SMU's Cox School of Business, Vectrix and others. Mark served honorably in the United States Army's 3rd Ranger Battalion, and the 82d Airborne Division.

Share this

The Latest

June 20, 2024

The total cost of downtime for Global 2000 companies is $400 billion annually — or 9% of profits — when digital environments fail unexpectedly, according to The Hidden Costs of Downtime, a new report from Splunk ...

June 18, 2024

With the rise of digital transformation and the increasing reliance on applications for business operations, the need for application performance management (APM) has become more critical ... This blog explains what APM is all about, its significance and key features ...

June 17, 2024

Generative AI (GenAI) has captured significant attention by redefining content creation and automation processes. Despite this surge in GenAI's popularity, it's crucial to highlight the continuous, vital role of machine learning (ML) in underpinning crucial business functions. This era is not about GenAI replacing ML; rather, it's about these technologies collaborating to supercharge intelligent automation across industries ...

June 13, 2024

As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...

June 12, 2024

In May, New Relic published the State of Observability for IT and Telecommunications Report to share insights, statistics, and analysis on the adoption and business value of observability for the IT and telecommunications industries. Here are five key takeaways from the report ...

June 11, 2024
Over the past decade, the pace of technological progress has reached unprecedented levels, where fads both quickly rise and shrink in popularity. From AI and composability to augmented reality and quantum computing, the toolkit of emerging technologies is continuing to expand, creating a complex set of opportunities and challenges for businesses to address. In order to keep pace with competitors, avoiding new models and ideas is not an option. It's critical for organizations to determine whether an idea has transformative properties or is just a flash in the pan — a challenge tackled in Endava's new 2024 Emerging Tech Unpacked Report ...
June 10, 2024

The rapidly evolving nature of the industry, particularly with the recent surge in generative AI, can catch firms off-guard, leaving them scrambling to adapt to new trends without the necessary funds ... This blog will discuss effective strategies for optimizing cloud expenses to free up funds for emerging AI technologies, ensuring companies can adapt and thrive without financial strain ...

June 06, 2024

Software developers are spending more than 57% of their time being dragged into "war rooms" to solve application performance issues, rather than investing their time developing new, cutting-edge software applications as part of their organization's innovation strategy, according to a new report from Cisco ...

June 05, 2024

Generative Artificial Intelligence (GenAI) is continuing to see massive adoption and expanding use cases, despite some ongoing concerns related to bias and performance. This is clear from the results of Applause's 2024 GenAI Survey, which examined how digital quality professionals use and experience GenAI technology ... Here's what we found ...

June 04, 2024

Many times customers want to know why their measured performance doesn't match the speed advertised (by the platform vendor, software vendor, network vendor, etc). Assuming the advertised speeds are (a) within the realm of physical possibility and obeys the laws of physics, and (b) are real achievable speeds and not "click-bait," there are at least ten reasons for being unable to achieve advertised speeds. In situations where customer expectations and measured performance don't align, use the following checklist to help determine the reason(s) why ...