Decisions that improve student outcomes start with data you can trust.

Unify SIS, LMS, CRM, and other campus systems – then apply community-college-ready transformations with nightly snapshots – so every team can see what’s happening with their students, understand why, and learn how to act in time. All without the need to submit data/report requests.

Built for the people responsible for enrollment, progression, and completion.

Every team needs answers in their context – without jumping between systems, stitching spreadsheets, or submitting data requests. ZogoTech brings data together with shared definitions and role-based views so leaders and teams can act in time – and stay aligned.

Align enrollment, momentum, completion, and performance gap priorities around one version of the truth. Track leading indicators early enough to intervene – and communicate progress with confidence.

Cabinet-ready scorecards with drill-down to campus, program, cohort, and demographic lenses.
Same-moment year-over-year comparisons using point-in-time snapshots.
Shared definitions that reduce KPI drift across teams, reports, and meetings.
Performance gaps and pathway views to focus resources where they move outcomes.
Board, accreditation, and funding narratives backed by traceable logic.

Reduce the ad-hoc queue while keeping access clear and definitions consistent. Deliver trusted, reusable datasets and cohorts that hold up across audiences and time.

Searchable data dictionary and metric definitions embedded in the platform.
Point-in-time cohorting for registration, census, and end-of-term reporting.
Automated refresh and repeatable calculations - less manual rework.
Confidence through transparency: logic, lineage, and consistent outputs.
Reusable, curated datasets - can be used to complement Power BI/Tableau workflows.

See daily movement while there’s still time to act. Compare same-day performance to prior years to spot shifts early and adjust strategy quickly.

Daily enrollment and funnel movement with same-day prior-year benchmarks.
Section fill, capacity, and schedule optimization to protect demand.
Melt risk and near-miss lists to focus outreach where it matters most.
Registration completion and add/drop patterns by segment (program, modality, demographics, campus).
Track registration barriers and resolution (holds cleared, payments completed, schedule stabilized) - so outreach and staffing focus where it helps most.

Identify pathway friction and gateway bottlenecks at the course and program level. Understand where instructional changes can improve momentum and close gaps.

Gateway course success, withdrawal, and repeat patterns by cohort and modality.
Progression and completion views by program, meta-major, and pathway.
Section- and faculty-level patterns to support continuous improvement.
Performance gap lenses to pinpoint where supports or redesigns are needed most.
Schedule and modality impacts on success and completion outcomes.

Support student success and student services teams with timely, actionable insight – not just activity counts. Prioritize outreach and connect service utilization to momentum and completion to strengthen what works.

Caseload and near-miss views for advising, coaching, and coordinated care.
Early risk indicators tied to attendance, performance, and momentum milestones.
Service utilization and engagement trends (tutoring, advising, basic needs, financial aid) by cohort and demographic lenses.
Intervention tracking to measure impact over time - not just volume.
Student journey views that connect supports to pathway progress.

Integrate the systems used across campus into one extensible, consistent source – with secure, role-based access and shared definitions. Move analytics and reporting off production systems to reduce risk and load while empowering executives, faculty, and staff with the same accurate data.

Low IT lift to get running: start with SIS plus a few priority systems, then add sources as needs evolve.
Normalize complex sources into a single model (SIS, LMS, NSC, degree audit, CRM) - not one-off extracts.
Run heavy queries on a dedicated analytics environment so reporting never drags on SIS/LMS.
Embed a data dictionary + semantic layer with plain-English definitions and technical formulas/lineage for analysts.
Publish curated datasets (advising, CRM, scheduling, portals) plus consistent ‘as‑of’ snapshots for cycle reporting and AI‑ready history.
Reduce tickets with role-ready, parameterized views and list builders - row/column security included.

Give faculty and chairs a simple, up-to-date view of their students – rosters, engagement, performance, and key indicators – in one place, without pulling spreadsheets from multiple systems. Surface who needs support early enough to intervene, then make it easy to take action (reach out, refer, document), before it’s too late.

Course roster views - that stay current - in one screen.
“Students who need attention” lists to prioritize outreach.
Quick filters + list builders for common faculty questions (who hasn’t logged in, who’s missing key work, who’s borderline, who’s improving/declining).
Early intervention workflows with consistent, governed access to the right data.
Department chair visibility across their sections to spot where additional supports are needed (without forcing faculty to reconcile different definitions or versions).

Trusted by leaders setting the pace in student success.

ZogoTech is an exceptional partner, providing us the tools and support needed to become a truly data-informed institution. Their expertise in data analytics and deep understanding of the challenges faced by community colleges have been invaluable.

Dr. Rebecca Ashford
President
Chattanooga State Community College
2025 Leah Meyer Austin Award Winner

ZogoTech has been a steady technology provider as well as a thought partner, helping us visualize our data strategy and building data capacity. We have grown together over the past decade, and anticipate many more productive years ahead.

Dr. Pamela Eddinger
President
Bunker Hill Community College
2014 Leah Meyer Austin Award Winner

To me, ZogoTech is family. ZogoTech has been with me for so long in this initiative that it's comfortable. You will do whatever we need you to do. You help us to have the data and to understand the data in better ways - and I can trust the data.

Dr. Gregory Williams
President, Odessa College
3x Aspen Top 10 Finalist
2018 Leah Meyer Austin Award Winner

Including 25% of Achieving the Dream’s Leader Colleges of Distinction.

Most colleges aren’t short on data. They’re short on usable information.

A single, consistent view of campus data – plus point-in-time history – so teams can answer questions fast and compare year over year.

Pre-Defined Integrations

Deep, meaningful integrations with 20+ data sources at a college (all major SIS systems, LMS, tutoring, financial, etc...). We know which fields to get from each system and how they connect to fields in other systems.

Data Dictionary

To facilitate the consistent use of data across users, ZogoTech has built a user-friendly, searchable data dictionary directly into the platform. By delivering actionable intelligence with clear data definitions within reports, end users are never left guessing what data means.

Pre-Built Transformations

Integrating data is the easy part. The hard, valuable part is transforming that raw data into actionable intelligence. ZogoTech loads and transforms your data, so Power BI, Tableau, Excel, and other BI tools can deliver faster, more consistent reporting.

Point-in-Time Data / Snapshots

Create nightly point-in-time snapshots - frozen views of data at critical milestones like registration, census, and term end. That lets colleges compare performance across years using the same moment in the cycle, with consistent numbers everyone can trust.

Community College Data Models

Organize your institutional data into a set of core data models built around the student success questions colleges ask most. That means you start with a decision-ready foundation - not generic warehouse tables.

National Student Clearinghouse

Connect NSC data so you can measure what happens after students leave your campus - transfer-out, transfer-in, and continued enrollment elsewhere. With that visibility, cohorts are easier to follow and your completion/transfer outcomes reflect reality, not guesswork.

Turn data into decisions that move student outcomes.

Student success focused analytics: see what’s happening, understand why, and decide what to do next – fast enough to matter.

Protect enrollment while registration is live.

See
Track daily funnel movement, same-day benchmarks, section fill, and melt signals – by program, modality, and student group.

Do Next
Shift outreach, adjust sections, and focus staff time where you can still change the outcome.

Spot risk early. Reach students fast.

See
See student-level course signals – attendance, engagement, missing work, holds, and early performance – while there’s still time to respond.

Do Next
Generate prioritized outreach lists, coordinate referrals, and track follow-through across faculty, advising, and supports.

Fix gateway and pathway bottlenecks.

See
Pinpoint where students stall: DFW patterns, repeats, prerequisite sequences, and modality impacts in high-enrollment courses.

Do Next
Redesign courses, add co-requisite supports, and align scheduling so more students build momentum and stay on path.

Scale supports that help.

See
Connect tutoring, advising, and basic-needs engagement to student progress so you can see what moves outcomes – and what doesn’t.

Do Next
Double down on what works, target referrals, and reallocate capacity based on measured impact.

From insight to action - on real campuses.

Campus leaders share how they use up-to-date student data to act earlier and strengthen outcomes.

Dr. Vern Lindquist
President
Johnston Community College

Rebecca Carr
Associate Director for Strategic Analytics
Southeast Community College

Dr. Douglas Walcerz
Provost and Executive VP of Academic and Student Affairs
Lee College

Dr. Joianne Smith
President
Oakton College

Typical questions answered - without submitting tickets.

Increasing Enrollment

What does my class enrollment look like right now compared to this time last year?
Based on Chi squared statistical significance testing, at this point in the enrollment cycle, which particular groups of students should I focus on?
What courses do we need to cancel or consolidate?
Which students still need the courses that we’re consolidating so we can make sure that they stay on path?

Accelerating Progression

How is retention improving for cohorts over time?
Are our students completing key courses earlier in their time with us?
Are student credit accumulations by cohort improving over time?
Which course do students tend to struggle? Which courses have high enrollment, but low success rates?
How effectively are support services being utilized to improve student outcomes?
How many students follow the correct course sequence? Who are we losing in our major course sequence and how do we get those students back on track?
For our Allied Health Program, do our pre-health students succeed or graduate earlier than students who come to us fresh?

Improving Completion

How long is it taking students to finish my program? How can I decrease that time?
Which students are progressing through stackable programs, completing certificates, or reaching key milestones along the way to their degree?
Are students actually dropping out, or are they transferring to a four-year institution?
How many of my students have transferred onto a four-year institution? Where did they go and what programs are they pursuing? Can we reverse transfer their credits?
What percentage of a given starting cohort earned a credential after 2, 4 or 6 years?

Eliminating Performance Gaps

Do the demographics of our student population match that of our local community?
What are the success, completion, and withdrawal rates for specific cohorts? Where are there gaps?
Does Gateway Course completion differ across different cohorts?
What programs and services are underserved populations most successful in? How could we replicate those strategies in other programs?