SHARE
Facebook X Pinterest WhatsApp

The Need for Continuous Intelligence in Higher Ed

thumbnail
The Need for Continuous Intelligence in Higher Ed

Because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that of some businesses.

Aug 22, 2021

Most talk about continuous intelligence typically focuses on the benefits it can deliver to businesses to improve operations, quickly resolve IT problems, address application performance issues, enhance the user experience, and strengthen traditional cyber security defenses.

Interestingly, institutes of higher education have exactly the same needs. And in some cases, because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that in some businesses.

Download Infographic Now: The 5 intelligence gaps curbing your climb to digital  success

Why? Institutes of higher education must deal with all the performance and security issues as major corporates, plus more that are unique to their environment.

There is great siloing. Like most businesses, a university might offer centralized IT services, but many departments go their own way buying, installing, and running systems and applications of their own. As a result, there often are many systems, each with its own management system. And the disparate systems all generate their own telemetrics, logs, and other data needed to fix problems and spot problems in the making product.

Universities are typically more open than businesses. There is less centralized control over what IT equipment, applications, and services can be used. And there is extensive collaboration with outsiders in most research environments. While a business might limit access to a system, application, service, or dataset, it is quite common for much more shared access to these things in an academic setting.

All of these factors make it much harder to manage systems, resolve problems, and reduce problems.

Advertisement
Watch Video Now: Digital Complexity and How to Address It

Broader compliance mandates than many businesses

Making matters even more challenging is that universities must abide by a more expansive set of regulatory mandates than many businesses.

Certainly, the same general data privacy rules businesses follow apply in academic settings. But in addition, universities usually run stores, sell services, and provide healthcare. As such, they must meet, enforce, and demonstrate HIPAA and PCI DSS compliance.

In addition, any university that received Federal funding from the U.S. Department of Education (and most do) must meet the requirements of the Family Educational Rights and Privacy Act (FERPA), a Federal law that protects the privacy of student education records.

See Also: Continuous Intelligence Insights

How continuous intelligence fits in

A suitably selected continuous intelligence solution can help address the needs of higher education. A solution should include CI and monitoring capabilities to provide observability and in-depth insights across the institute. It must capture all the machine data from the various systems and devices deployed throughout the school. And then, it must be able to make sense of that data in real-time using predictive and prescriptive analytics, artificial intelligence, and machine learning.

A properly chosen CI solution should provide observability and security all in one place. Specifically, a solution should help break down campus siloes, reduce downtime, enhance visibility, mitigate risks, and help IT understand the impact and context of any cyber-attacks across on-premises, hybrid, and multi-cloud infrastructures.

Download eBook Now: Continuous Intelligence and the Era of Real-Time, Data-Driven Business
thumbnail
Salvatore Salamone

Salvatore Salamone is a physicist by training who writes about science and information technology. During his career, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

Recommended for you...

Real-Time RAG Pipelines: Achieving Sub-Second Latency in Enterprise AI
Abhijit Ubale
Jan 28, 2026
Excel: The Russian Tsar of BI Tools
Fastvertising: What It Is, Why It Matters, and How Generative AI Amplifies It
The Most Important Question in Operational AI: Show Me Where It Actually Works
Stephen Ochs
Jan 21, 2026

Featured Resources from Cloud Data Insights

The $5 Trillion Blindspot: When Robots Run Faster Than Your Dashboards
Chris Willis
Feb 2, 2026
Real-time Analytics News for the Week Ending January 31
The Foundation Before the Speed: Preparing for Real-Time Analytics
Why AI Needs Certified Carrier Ethernet
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.