4 Questions to Help Decide if You Need Predictive Analytics
June 14, 2017

Sridhar Iyengar
ManageEngine

Share this

The rise in digitization has contributed to the growth and complexity of unstructured data (text, audio, video and more). Users now access data more than ever before, making downtime more impactful to business. So IT teams need to be on guard and nip downtime issues in the bud before they culminate into a much bigger problem.

One efficient way to minimize downtime is to adopt IT operational analytics (ITOA) practices in your enterprise. By deploying ITOA, teams can constantly monitor IT systems to analyze and interpret data from various IT operational sources. This enables them to predict potential service downtime and reduce the mean time to repair (MTTR).

Predictive analytics is a popular ITOA technology that you can leverage to improve your business by leaps and bounds. Predictive analytics analyzes relationships among various data points to predict behavioral trends, growth opportunities and risks, which can add critical value to your business.

Here are a few questions to help you decide if predictive analytics is right for your business.

1. Do you need a better way to tackle application downtime?

By leveraging their data, predictive analytics allows businesses to prevent downtime. Predictive analytics uses adaptive algorithms to analyze existing historical data to observe past and current behavior from applications and networks. The goal of this analysis is to discover any potential problems before they develop.

If there is any deviation between the measured value and standard value, a notification is immediately sent to the IT admin, warning of a potential issue. This enables enterprises to take stock of those issues before they impact customers.

2. Are your customers really happy?

Enterprises often make the mistake of assuming their customers are satisfied. Reality, however, might tell a different story. Applying predictive techniques in your business processes will accurately assess if a customer is happy or disappointed with you and your services.

For instance, by analyzing emails, predictive analytics can illuminate areas related to customer satisfaction and suggest ways to engage customers better. Predictive analytics gives enterprises a competitive edge so they can choose better techniques to promote products and services that will win them more customers.

3. Is your data secure?

With security attacks rampant in the digital world (the WannaCry ransomware attack is a recent example), enterprises should take measures to safeguard their data from any breach. Due to the wide distribution of security attacks, it is rather challenging to estimate the volume and dollar value of the data loss. Leveraging predictive analytics will enable enterprises to identify possible vulnerabilities in their system to determine the probability of such attacks.

4. Are you managing your IT resources efficiently?

Predictive analytics can be used to monitor resource capacity and determine if it needs to be restocked. This will enable teams to make informed investments at the right time and avoid the dangers of running out of IT resources. This is critical as it allows enterprises to scale their infrastructure in accordance with their user growth.

Any enterprise that wishes to take better control of its IT operations — and predict the occurrence of unprecedented downtime — should consider investing in predictive analytics. Predictive analytics aligns an enterprise's technological goals with its business strategy and is in high demand. As predictive analytics takes off, the rising competition will prompt ITOA vendors to differentiate themselves by offering simpler and more affordable solutions, making predictive analytics available to everyone.

Sridhar Iyengar is VP, Product Management, at ManageEngine
Share this

The Latest

July 14, 2020

As systems become more complex and IT loses direct control of infrastructure (hello cloud), it becomes both more difficult and more important to capture and observe, holistically, the user experience. SaaS or cloud apps like Salesforce, Microsoft Office 365, and Workday have become mission-critical to most businesses and therefore need to be examined when it comes to experience monitoring ...

July 13, 2020

Newly distributed operations teams are struggling to cope with the sudden change to the WFH (work from home) concept. IT operations teams were traditionally set up to work from centralized locations, unlike software and engineering teams. Some organizations have overcome that by implementing AIOps solutions; others are using a brute force method of employing more IT operations analysts to keep the distributed NOCs going ...

July 09, 2020

Enterprises that halted their cloud migration journey during the current global pandemic are two and a half times more likely than those that continued their move to the cloud to have experienced IT outages that negatively impacted their SLAs, according to Virtana's latest survey report The Current State of Hybrid Cloud and IT ...

July 08, 2020

Every business has the responsibility to do their part against climate change by reducing their carbon footprint while increasing sustainability and efficiency. Harnessing optimization of IT infrastructure is one method companies can use to reduce carbon footprint, improve sustainability and increase business efficiency, while also keeping costs down ...

July 07, 2020

While the adoption of continuous integration (CI) is on the rise, software engineering teams are unable to take a zero-tolerance approach to software failures, costing enterprise organizations billions annually, according to a quantitative study conducted by Undo and a Cambridge Judge Business School MBA project ...

June 25, 2020

I've had the opportunity to work with a number of organizations embarking on their AIOps journey. I always advise them to start by evaluating their needs and the possibilities AIOps can bring to them through five different levels of AIOps maturity. This is a strategic approach that allows enterprises to achieve complete automation for long-term success ...

June 24, 2020

Sumo Logic recently commissioned an independent market research study to understand the industry momentum behind continuous intelligence — and the necessity for digital organizations to embrace a cloud-native, real-time continuous intelligence platform to support the speed and agility of business for faster decision-making, optimizing security, driving new innovation and delivering world-class customer experiences. Some of the key findings include ...

June 23, 2020

When it comes to viruses, it's typically those of the computer/digital variety that IT is concerned about. But with the ongoing pandemic, IT operations teams are on the hook to maintain business functions in the midst of rapid and massive change. One of the biggest challenges for businesses is the shift to remote work at scale. Ensuring that they can continue to provide products and services — and satisfy their customers — against this backdrop is challenging for many ...

June 22, 2020

Teams tasked with developing and delivering software are under pressure to balance the business imperative for speed with high customer expectations for quality. In the course of trying to achieve this balance, engineering organizations rely on a variety of tools, techniques and processes. The 2020 State of Software Quality report provides a snapshot of the key challenges organizations encounter when it comes to delivering quality software at speed, as well as how they are approaching these hurdles. This blog introduces its key findings ...

June 18, 2020

For IT teams, run-the-business, commodity areas such as employee help desks, device support and communication platforms are regularly placed in the crosshairs for cost takeout, but these areas are also highly visible to employees. Organizations can improve employee satisfaction and business performance by building unified functions that are measured by employee experience rather than price. This approach will ultimately fund transformation, as well as increase productivity and innovation ...