πŸ“Š The Analytics of Accreditation: 3 Hurdles You Can Solve with Your Data Β· Thursday, September 17 Β· 12:00 PM CT / 1:00 PM ET Thu, Sept 17 Β· 12 PM CT Β· with Debbie Phelps Register Free β†’
Find Your Path
πŸŽ“ VP Student Affairs

Find at-risk students
weeks before it's too late.

Datatelligent helps Student Affairs leaders identify at-risk students earlier and understand which interventions actually move the needle β€” so your team spends its time on what works, not what's easiest to measure.

🚨 Earlier, more accurate at-risk alerts
πŸ€– Ask anything β€” AI-powered insights
πŸŽ“ Built for Higher Ed, not adapted from B2B
Catch Risk Sooner
Spot disengagement 4–6 weeks before midterms
Know What's Working
See which interventions actually move retention
Faster Answers
Cabinet questions on retention solved in minutes
25+
Higher Ed institutions
4–6 wks
Earlier at-risk identification
3–6 mo
Time to first insights
$250K
Avg. annual cost savings

What Student Affairs leaders tell us before they work with us

These aren't hypothetical pain points. They come directly from conversations with Student Affairs and Student Success leaders at institutions like yours.

🚨
"We find out a student is struggling too late"
By the time midterm grades or an advisor flag surfaces the issue, the student is already weeks behind. The window for an effective intervention has narrowed or closed.
πŸ—‚οΈ
"Advising notes, LMS activity, and attendance don't talk to each other"
The signals that predict risk live in different systems. No one person or team sees them together, so patterns get missed.
❓
"I don't know which interventions actually work"
We run tutoring, coaching, and outreach programs β€” but we can't easily tell which ones move retention and which ones are just busy work.
πŸ“‹
"Our early-alert system generates noise, not signal"
Too many low-value flags bury the students who need attention most. Advisors triage manually and inevitably miss some.
πŸ§‘β€πŸ€β€πŸ§‘
"Caseloads are too big to track everyone by hand"
Advisors and success coaches are stretched thin. Without a prioritized, data-driven list, the students most at risk don't always get seen first.
πŸ“Š
"I can't show the Cabinet our impact on retention"
Leadership wants to know Student Affairs' ROI on retention. Right now that story is anecdotal, not backed by a clear before/after data trail.

Three ways we change how you support students

We don't replace your systems. We connect them, make sense of the data inside them, and surface the insights your team needs to act earlier and more effectively.

🚨 Students at Risk

Every student ranked by risk, updated automatically

A single roster, sorted by retention likelihood, with the specific risk factors driving each score. Advisors open one screen and know exactly who needs outreach first β€” not who happened to email most recently.

βœ“
Students grouped into High, Medium, and Low risk tiers, refreshed weekly
βœ“
Ranked by retention likelihood β€” not gut feeling
βœ“
Key risk factors called out for every student β€” DFW grades, GPA, and more
βœ“
Trend column shows who's improving or declining week over week
See it applied to your institution β†’
Students at Risk β€” risk tier summary Students at Risk β€” student roster
πŸ§‘β€πŸŽ“ Student Detail

Drill into any student's full risk profile in one click

Select a student and see everything advisors need in one place β€” retention likelihood, risk tier, GPA, credit completion, and the specific flags driving the score, plus which interventions are recommended and how urgent each one is.

βœ“
Retention likelihood, risk tier, GPA, and credit completion at a glance
βœ“
Active risk flags labeled by source β€” Academic, SIS, and more
βœ“
Visual breakdown of which factors are hurting or helping retention
βœ“
Recommended interventions tagged by urgency, ready to act on
Request a live demo β†’
Student Detail β€” individual risk profile
πŸ€– Ask Fusion

Ask anything about student risk and outcomes β€” in plain English

Stop waiting on IR to run a query. Ask Fusion answers questions about student risk the way you'd ask a colleague β€” broken down by cohort, with a clear bright spot, watch item, and next action every time.

βœ“
"Which grade level holds the most high-risk students?" β€” answered in seconds, broken down by class standing
βœ“
Enrolled, at-risk, and high-risk counts shown side by side
βœ“
Every answer flags a bright spot, a watch item, and a next action
βœ“
Answers pulled from your live, unified data β€” not a static report
See trend detection in action β†’
Ask Fusion β€” AI assistant

From the people doing this work

Real feedback from Student Affairs and Student Success leaders who've been through it.

⭐⭐⭐⭐⭐
Day-by-day student visibility
"

Working with Datatelligent to build our data lake has been transformative. We now have the flexibility to create the specific data views our teams need while upholding student privacy, and crucially, we can finally look back historically, day by day.

πŸ‘€
Deborah Phelps
Executive Director of Institutional Effectiveness, Cowley College
⭐⭐⭐⭐⭐
$250,000 / year saved
"

I used to spend a quarter million dollars a year on systems and people to manage data and get the same insights Datatelligent delivers for a fraction of the price. They are disrupting the market with their subscription model.

πŸ‘€
Joseph Cassidy
AVP Economic Development & Dean of Continuing Ed, College of DuPage
⭐⭐⭐⭐⭐
Faster, more confident decisions
"

Working with Datatelligent will enable our strategic team to craft and adjust our student support activities with confidence and help us advance our data-informed organizational goals.

πŸ‘€
Jill Albin-Hill
VP of Technology & Operations, Dominican University

What student support looks like 6 months after go-live

Not aspirational. Based on what our current clients tell us after they've been live for one full academic cycle.

01
Advisors work from a prioritized list, not a gut feeling
The early-alert dashboard is always current. Advisors know exactly who to reach out to first, every day, based on real risk signals β€” not whoever emailed most recently.
02
Your team spots risk 4–6 weeks earlier
Automated trend alerts surface disengagement the moment it starts β€” not when it shows up in midterm grades. Intervention windows are wider. Outcomes improve.
03
You can prove which interventions actually work
Retention outcomes are tied directly to specific interventions β€” peer coaching, tutoring, outreach β€” so you can double down on what works and retire what doesn't.
04
The Cabinet sees Student Affairs' impact on retention clearly
A clear before/after data trail replaces anecdotal reporting β€” making the case for continued investment in student support straightforward.

See it applied to your specific student population

Not a product tour. A 45-minute working session built around your risk signals, your data systems, and the interventions your team already runs.

🎬 Request a Use-Case Demo πŸ“… Book a 30-min Strategy Session πŸŽ“ Join the Next AI Workshop

No sales pressure. No generic demo. You'll talk to someone who's worked with institutions like yours.

Not in Student Affairs? Start here.

Every role in your institution faces different data challenges. We've built use-case pages for each one.

πŸ›οΈ
President / Cabinet
Get a unified view of institutional performance so leadership makes faster, aligned decisions.
πŸ“ˆ
VP of Enrollment
Get a live view of the funnel β€” from first inquiry to registered student β€” so yield problems surface weeks earlier.
πŸ’»
CIO / CTO
Build a data architecture that connects every system and makes AI possible β€” without ripping out what already works.
Latest News
Days
Hours
Minutes