Before Choosing an SIS: Questions Every University Should Ask

Summary: Choosing a Student Information System is a long-term institutional decision. The right questions can help universities look beyond product demonstrations and feature lists to evaluate whether a platform can support their processes, data, people and future strategy. This guide explores the critical questions university leaders should ask around institutional fit, data, integration, implementation, security, AI, vendor partnership and long-term value while also examining how Academia by Serosoft approaches these challenges.

A modern interface, an impressive product demonstration and a long list of features can make several platforms appear equally capable.

But an SIS is not a tool that a university will use for one department or one project.

It sits at the centre of institutional operations, connecting admissions, academics, student records, examinations, finance, student services and reporting. The wrong decision can create years of additional complexity. The right one can provide a stronger foundation for a more connected, data-informed institution.

This is particularly important at a time when higher education institutions are reassessing how technology, data and AI support institutional strategy. EDUCAUSE’s 2025 research identifies the data-empowered institution as a major priority and highlights the challenges institutions face with fragmented data, legacy technology and disconnected systems.

So, before asking:

“Which SIS has the best features?”

Universities should start by asking better questions.

What Does Your University Need from a New SIS? 

The first question should not be about the vendor.

It should be about the university.

Many institutions begin an SIS evaluation because the existing platform is outdated. But “outdated” can mean different things. One university may be struggling with manual processes. Another may have reliable core functionality but poor reporting. A third may be dealing with disconnected systems and duplicate data.

Without clearly defining the problem, the procurement process can quickly become a comparison of feature lists rather than a search for the right solution.

Before approaching vendors, universities should identify where their current environment creates friction. This could include slow admissions processes, repeated data entry, limited visibility across departments or difficulty adapting the system when institutional requirements change.

The goal is to move from:

“We need a new SIS.”

To:

“These are the institutional problems our new SIS must solve.”

That distinction can significantly improve every stage of the evaluation process.

Will the SIS Fit the Way Our University Actually Operates?

No two universities operate in the same way.

Academic structures, programmes, approval processes, campuses and student journeys can all differ. A system may look impressive during a demonstration but still create difficulties if the institution has to change every process to fit the software.

This does not mean a university should demand unlimited customisation.

In fact, excessive custom development can create its own problems around upgrades, maintenance and long-term complexity. The better question is whether the platform offers the right balance between standardisation and configurability.

 

University teams should ask vendors to demonstrate how the SIS handles their actual scenarios rather than generic examples.

For instance:

• How are institution-specific workflows configured?
• Can academic rules be adapted?
• How easily can processes evolve?
• Which changes can the university manage independently?

The strongest SIS should support institutional flexibility without becoming a completely customised product that is difficult to maintain.

How Will Your University’s Data Connect Across Systems? 

Data is one of the most important questions in any SIS decision, yet it is often treated as an implementation issue to solve later.

That can be a mistake.

The EDUCAUSE 2025 QuickPoll on data modernisation found that institutions continue to struggle with siloed data and legacy environments that make it difficult to gain a unified view of institutional performance.

Before selecting an SIS, universities should understand their current data landscape.

What information needs to be migrated? How reliable is that information? Which systems will remain in place? And how will information move between the SIS and the wider institutional ecosystem?

The question is not simply whether a vendor can “migrate data.”

It is whether the university has a clear strategy for creating reliable, connected information after implementation.

At Academia, we see the SIS as more than a repository of student records. Its real value increases when information can move across processes and provide a more connected institutional view.

Can the SIS Work with the Technology We Already Have?

A university rarely operates with a single technology platform.

Learning management systems, finance software, payment solutions, identity management tools and communication platforms may all form part of the existing environment.

This makes integration a critical question.

A new SIS should not simply replace one silo with another.

Universities should ask how the platform connects with existing systems, what integration capabilities are available and how easily new applications can be added in the future.

This is particularly important because institutional technology requirements will continue to change. The integrations required today may not be the integrations required five years from now.

Drawing on Academia’s experience in higher education technology, a connected technology ecosystem should be part of the institutional vision from the beginning, not something considered after the SIS has already been implemented. 

Who Needs to Be Involved in the Decision?

An SIS affects almost every part of a university.

Yet technology decisions can sometimes be led by a limited group, with other stakeholders becoming involved only when implementation begins.

That approach can create gaps between what the system is expected to deliver and what different teams actually need.

The procurement process should involve the people who understand admissions, academics, student services, finance, IT, data governance and institutional leadership.

This becomes even more important when evaluating emerging technologies. EDUCAUSE’s 2025 research on AI-related procurement found that technology, cybersecurity and data privacy teams were commonly involved, while teaching and learning professionals were less consistently represented.

The lesson extends beyond AI.

A successful SIS decision requires both technical and operational perspectives. The people responsible for using the system every day should help define what success looks like.

How Will We Know Whether the Implementation Is Successful?

Buying the software is only the beginning.

An SIS implementation can involve data migration, process redesign, integrations, testing, staff training and change management. Universities should therefore ask vendors about implementation with the same level of scrutiny used during product evaluation.

Important questions include:

• What does the implementation process look like?
• How will existing data be validated and migrated?
• What responsibilities sit with the university and what responsibilities sit with the vendor?
• How will users be trained?
• What support is available after go-live?

Universities should also define success before implementation begins.

Is success measured by going live on time? By reducing manual work? By improving reporting? Or by creating a better experience for students and staff?

The answer should be more meaningful than simply:

“The system is live.”

A successful implementation should create measurable improvements in how the institution operates.

Can We Get the Information We Need Without Creating Another Manual Process?

Reporting deserves its own question because nearly every SIS vendor will say that its platform provides reports.

The real difference lies in how accessible, relevant and actionable that information is.

If university teams still need to export data from multiple systems and manually combine spreadsheets before leadership can understand what is happening, the institution has not fully solved the reporting challenge.

EDUCAUSE’s data modernisation research shows that institutions are increasingly investing in modern data environments to improve decision-making and address operational inefficiencies.

Universities should therefore ask vendors to demonstrate reporting using realistic institutional scenarios.

Can users access information quickly? Are reports configurable? Can leaders move from high-level trends into underlying data? And how much technical support is required to create a new report?

At Academia, reporting is designed to go beyond static information. With institutional analytics and 400+ AI reports, the focus is on helping universities access information more quickly and turn data into more meaningful insights.

Is the System Ready for How AI Will Change Higher Education?

AI is now part of the higher education technology conversation. But universities should avoid making an SIS decision simply because a platform uses the term “AI-powered.”

The more important question is:

“What practical value does AI provide, and how is it governed?”

UNESCO’s 2025 survey found that 19% of participating higher education institutions already had formal AI policies, while another 42% were developing guidance. The findings underline the fact that AI adoption is increasingly being accompanied by questions around governance and responsible use.

Universities should ask vendors what AI capabilities actually do, what data they use and what controls exist around their use.

At Academia, this includes SERA AI and AI-powered reporting capabilities designed around higher education use cases. The objective is not simply to add AI to existing processes, but to make institutional information easier to explore and use.

What Happens After the Contract Is Signed?

An SIS is not a short-term purchase.

The university will depend on the vendor for support, upgrades, product development and, potentially, new capabilities for many years.

According to Academia’s higher education technology experts, one of the biggest mistakes institutions can make is evaluating an SIS only for what it can deliver at the point of purchase. Higher education requirements evolve, and the technology partner must be able to evolve alongside the institution. This is why a vendor’s understanding of higher education, product vision and long-term approach to institutional transformation should be evaluated alongside the platform itself. 

This makes the vendor relationship as important as the platform itself.

Universities should understand the provider’s roadmap and ask how often the platform evolves. They should also evaluate the vendor’s higher education expertise and ability to support the institution after implementation.

A useful question is:

“Are we buying software, or are we choosing a long-term technology partner?”

The answer can influence the university’s experience long after the original procurement process is over.

How Can Academia by Serosoft Support Universities Evaluating an SIS?

Academia by Serosoft is an AI-powered Student Information System and Education ERP designed to support the complete student lifecycle.

The platform brings together key institutional processes, including admissions, academics, examinations, fees, student services and institutional reporting, while supporting configurable workflows and integration with the wider technology ecosystem.

Through capabilities such as AI-powered analytics, 400+ AI reports and SERA AI, Academia also helps institutions move beyond simply storing information towards using institutional data more effectively.

For universities evaluating an SIS, the focus should ultimately be on whether the platform can support both today’s operational requirements and tomorrow’s institutional ambitions.

Are We Choosing for Today or Preparing for Tomorrow?

A university can compare dozens of features and still miss the most important consideration.

Will this system remain relevant as the institution changes?

Higher education is operating in an environment shaped by changing student expectations, evolving technology, growing use of AI and increasing pressure to make better use of institutional data. EDUCAUSE’s research on institutional resilience similarly identifies adaptability, data fluency and interconnectedness as important characteristics for institutions navigating uncertainty and change.

 

The right SIS should therefore not only support the university’s current processes.

It should provide enough flexibility to support what comes next.

Conclusion

Choosing a Student Information System should begin with questions, not product demonstrations.

The most important questions are often not about whether a platform has a particular feature. They are about institutional fit, connected data, integration, reporting, implementation, AI governance and the long-term vendor relationship.

A strong SIS decision requires universities to look beyond what a platform can do today and consider how it will support the institution as processes, technology and expectations evolve.

Because ultimately, the question is not:

“Which SIS looks best during the demo?”

It is:

“Which SIS gives our university the strongest foundation for what comes next?”

Frequently Asked Questions

What is the most important question to ask before choosing an SIS?

Universities should first identify the institutional problems they are trying to solve. This creates clearer evaluation criteria and prevents the selection process from becoming only a comparison of features.

Who should be involved in selecting a university SIS?

The evaluation should include stakeholders from IT, admissions, academics, student services, finance, data governance and institutional leadership. The people who will use or depend on the system should help define requirements.

What should universities ask about SIS implementation?

Universities should ask about data migration, implementation responsibilities, timelines, training, integrations, testing and post-go-live support. They should also define how implementation success will be measured.

Should AI influence an SIS purchasing decision?

AI can be an important consideration, but universities should evaluate practical use cases, data governance, transparency and institutional oversight rather than selecting a platform based only on AI claims.

How can Academia by Serosoft support universities?

Academia provides an AI-powered Student Information System and Education ERP that supports the complete student lifecycle, configurable workflows, integrations, institutional reporting, AI-powered analytics, and SERA AI.