Fragmented Data Is Quietly Undermining Student Success and Cybersecurity Hygiene
As the new academic year kicks off, universities are under pressure to improve student outcomes, modernize campus operations, and strengthen cybersecurity, often while operating with limited resources and staff.
To meet these demands, institutions are turning to AI-powered tools to provide more personalized student support, streamline campus operations, and help IT teams identify and respond to problems faster. However, fragmented systems and siloed data limit visibility, making it harder for universities to provide timely support.
Students, staff, and partners now expect always-on services, consistent online experiences, and secure access as a baseline, yet most institutions can't deliver on that expectation. The missing ingredient? A connected, AI-ready data foundation.
Siloed tools, teams, budgets, and resources spread across departments and campuses generate massive amounts of data. However, not having a unified view into this data and no real-time visibility into big-picture issues creates unnecessary exposure to security threats and inadvertently reduces student support because no one can see the whole picture.
Since the cost of disconnected data is measurable in dollars, hours, security risk, and student outcomes, closing that data visibility gap should be a focus for universities.
Turning Scattered Data into 24/7 Guidance
Data fragmentation carries its steepest cost in student outcomes, particularly for first-year and at-risk students. As universities look to improve the student experience, holistic data insights provide the ability to quickly identify and predict issues that are instrumental in ensuring students can find the information they need, stay productive, and connect to the tools and services essential to their learning.
Consider student retention, for example. The goal is to identify students at risk before they disengage, before they stop attending class, stop doing coursework, and decide they're going to fail anyway and walk away. That means correlating signals, like logins, class/session attendance, laptops connection on campus WiFi, and other signals from systems, then identifying anomalies to put supports and interventions in place before students hit that failure point.
Personalized guidance, the kind that combats summer melt and first-year attrition, depends on the institution being able to see and act on student data quickly. But this is only possible once data is unified.
When Georgia State University streamlined its operations on a unified system, for example, the IT team built a proof-of-concept AI-powered application that helps students navigate the complicated financial aid process by surfacing personalized information, financial resources, student records, deadlines, and next steps. Unified data allowed its team to innovate on the student-facing problems that matter most, enhancing student experience throughout the admissions process.
Why This Was Traditionally so Hard
Historically, when leadership wanted insight into the institution's data or wanted to properly leverage what's available, CIOs would have to spend significant amounts of money for data warehouses, and then duplicate the data and hire a staff to manage the whole lifecycle.
This made any form of reporting extremely cumbersome. Leadership would set parameters and then data analysts would spend a month or two producing a single report.
In my previous positions as a higher-education CIO, I would see this first-hand — pulling data from four different systems, manually reconciling spreadsheets and then building a report. By the time it lands in the president's inbox, the window to act has already passed.
By unifying enterprise data across disconnected systems and departmental silos, universities can change what's possible.
A unified data platform lets leaders simply ask questions and get instant answers, chatting with their data through an LLM to understand what's happening across the institution, and accelerating the ability to make decisions closer to when issues first occur.
Faster, more accurate reporting leads to more confident action for student experience leads, higher education security operations centers, and campus leadership. This is the pathway for stronger student outcomes and the future of positive student experiences.
Connected Data Is Essential for Campus Cybersecurity
Connected, unified data supports higher education security as well. By uniting both institutional strategy and the SOC team around a unified data platform across academic, operational, and security systems, universities can aggregate, access, find, and act on all of their data holistically.
To be clear, this is not centralizing data or moving it to one location. This is the ability to search your university data where it lives, across formats and systems.
Having true data visibility allows for real-time access to critical information and the context to analyze and act quickly. Building a holistic approach to security requires a unified view into the entire IT environment, and end-to-end observability so IT teams can see everything as it happens, enabling security analysts to better detect anomalies and patterns.
As long as disconnected tools, systems, and data persist, there will be gaps where intrusions and malware can go undetected for months or years. With a streamlined data strategy, an institution is exposed to fewer vulnerabilities, and when faced with threats, can act decisively knowing exactly which systems are compromised and require attention.
The Texas A&M University System's Cybersecurity Operations team sets a great example. The team defends 11 universities, eight state agencies, and the second-largest student body in the U.S., protecting tens of thousands of endpoints against billions of telemetry events every month.
Previously, security analysts' skills were hindered by the need to source data from multiple security products based on different query languages. By replacing those disparate portals on a unified platform, deployed automatically on all devices, the team consolidated everything into a single interface. Adding an automation layer to all the proper data saves TAMU about 100 hours of analyst time per month and cuts resolution of a repeat attack from weeks to a couple of hours.
Looking Ahead
A streamlined, efficient data strategy should never be an afterthought. This is the first step to building an intelligent institution and the foundation that enables innovation and lays the groundwork for AI-powered solutions.
AI holds real promise for higher education, but to implement effective tools, institutions must have key elements in place, like full access to an institution's data, because AI-powered solutions are only as strong as the data they're built on.
Intelligence at scale can't be bought with a single product or tool. Instead, universities cultivate an environment of intelligence when they build and maintain connected, secure, real-time systems across programs and departments.
A unified data foundation solves multiple problems simultaneously. It improves the uptime and usability of IT systems, strengthens student support and lets institutions detect and respond to cyber threats before they compromise valuable campus data.