Preparing Your Data for a Successful SIS Migration

Changing your Student Information System is a major step, but for many institutions the real work begins before implementation ever starts. One of the most important factors in a successful SIS transition is the quality of the data you bring with you. 

For small and midsize colleges, data often lives across years of workarounds, manual processes, legacy fields, and inconsistent practices. That is completely normal. The good news is you don’t need perfect data to move forward. You just need a thoughtful plan.

A modern SIS implementation is the ideal opportunity to simplify, standardize, and strengthen the data your institution depends on every day.

Why Data Cleanup Matters

Your new SIS will power admissions, registration, enrollment, billing, reporting, retention, student experience, and more. If inaccurate or outdated data is migrated into the new system, those same issues you experienced in your legacy system will follow you into the future.

A proactive cleanup effort will help your institution:

• Improve confidence in reporting and dashboards
• Reduce duplicate or conflicting records
• Streamline implementation timelines
• Support better student service across departments
• Make integrations cleaner and more reliable
• Start fresh with stronger processes

The goal is not to preserve every legacy habit. But rather create a stronger foundation for what comes next.

What to Review First

While every institution is different, these are some of the most common areas worth evaluation before migration begins.

1. Duplicate Records: Over time, duplicate student, prospect, or alumni records can build up through imports, name changes, or disparate systems. Resolving duplicates early helps solidify cleaner communications, billing, transcripts, and reporting.
2. Inconsistent Codes and Naming Conventions: Programs, terms, statuses, departments, and locations are often labeled differently across campus systems and teams. For example, Fall 2026, F26 and 26Fall can all refer to the same term but shouldn’t exist in all three formats. Standardize these values now and prevent confusion later.
3. Unused Fields and Legacy Customizations: Many institutions carry fields or workflows created years ago for one-time needs that no longer serve a greater purpose. Migration is a great time to ask your teams, is this still needed? Who uses it? What decision does it support? If the answer is unclear, it may be time to retire it.
4. Missing or Incomplete Data: Look for gaps in critical records such as student contact information, academic standing, program history, financial balances, holds and alerts, and graduation data. You don’t need to solve everything at once, but identifying gaps early creates better planning.
5. Reporting Discrepancies: If two departments run the same report but get different numbers, the issue may be rooted in source data or definitions. Before migration, align on what key metrics mean and where trusted data should live.

What Can Wait?

Not every record needs to be polished and perfect before you go live with your new SIS. In many cases, historical data can be archived, simplified, or even migrated in phases.

A trusted SIS partner will help you determine what should be converted now, what can be stored for reference, what should be retired, and what can be improved after go-live. This keeps your SIS transition moving without unnecessary data-related delays.

Take A Practical Approach for Small Teams

If your staff is already stretched thin, start small.

First focus on the data that directly impacts current students, active applicants, billing, registration, and compliance reporting. High-impact cleanup beats perfection every time. Align owners by functional area, set realistic milestones, and steadily make progress.

The Opportunity Behind the Work

Data cleanup isn’t just a technical task. It’s a chance to improve how your institution operates. When done well, it can uncover inefficiencies, align teams, and help your institution get more value from every future process and decision.

Our Approach to Data Cleanup

At Thesis, we take a different approach to data migration. Unlike most SIS providers, we believe that data migration should not only be done early but also be included upfront in your scope and implementation cost. Not only do we embed your data migration into the core of your onboarding from the onset, but we let you define the data that comes over. Thesis supports our clients with best practices, but it is ultimately your decision how far back you want to go and what kind of data you migrate. This makes for a predictable, all-inclusive implementation cost, but it also reduces risk, delivers a faster go-live timeline, and ultimately drives a smoother transition for your institution.

A new SIS is more than a system change. It’s a chance to move forward with confidence.

Planning a SIS transition and unsure where to start with data migration? Connect with one of our SIS migration specialists for practice guidance, proven best practices, and a clear path to a smoother, more confident go-live.