CRM
- Lead records
- Pipeline stage
- Campaign interactions
Turn Institutional Data Into Valuable Analytics
Unify data, predict risk and opportunity, and prioritize action across enrollment, retention, learning, and employability.
One intelligence layer. Five institutional outcomes.
AUGMENTED ENROLLMENT
The Institutional Growth Engine
Lead scoring, conversion prediction, yield optimization, enrollment forecasting, and scholarship optimization.
- Prioritize prospects by propensity
- Predict funnel-stage movement
- Identify admits at yield risk
- Optimize aid and net tuition revenue
- Forecast enrollment and campaign performance
ENROLLMENT INTELLIGENCE
SIS
- Application status
- Program choice
- Academic preparation
Financial Aid
- Aid packages
- Scholarship options
- Affordability signals
Marketing
- Digital touchpoints
- Channel performance
- Source attribution
External Data
- Market trends
- Regional demand
- Peer benchmarks
Not Another Dashboard. A single 360° view of your institution with AI.
Connect signals, predict risk or opportunity, prioritize what matters, orchestrate action, and learn from outcomes.
Signal Detection
Capture CRM, SIS, LMS, aid, service, faculty, career, market, and alumni signals.
Prediction & Scoring
Score probability, risk, opportunity, and likely outcomes.
Prioritized Queue
Rank candidates, students, cohorts, courses, and actions.
Immediate Action
Route work, assign ownership, and track execution.
Outcome & Learning
Feed results back so recommendations improve over time.
A complete path from data readiness to predictive intelligence and operational action.
Traditional analytics tools help institutions observe performance. This service helps them decide, act, and learn.
Institutional data depth
Unify the systems and signals that matter for each institutional goal.
Action, not observation
Move from dashboard interpretation to queues, routing, ownership, and follow-up.
Explainability and trust
Predict risk or opportunity while showing why action is needed.
Compounding advantage
Every captured outcome strengthens future predictions and recommendations.
HOW IT WORKS
The 3-Step Process to Leverage Institutional Requisites
STEP 1
Feasibility Analysis
Before any models are built, the institution's existing data environment is evaluated.
- Review Data Availability & Quality: We review the availability, maturity, and quality of the institution's data.
- Identify Gaps: Map out existing data silos and identify critical missing inputs (e.g., lag in CRM or SIS logs).
- Confirm Viable Output: Determine what metrics or predictions are realistically achievable with current data.
- Go/No-Go Recommendation: Deliver a formal recommendation on whether to advance to the build stage.
STEP 2
MVP
A controlled initial setup is constructed to prove the business case without massive upfront complexity.
- Targeted Use-Case Build: Build the initial predictive model utilizing the data identified as readily available during the feasibility analysis.
- Functional Validation: Demonstrate initial outputs to internal teams (such as admissions or advising) to validate usability and alignment.
STEP 3
Scale to Production
Once validated, the architecture is hardened into the institution's daily operations.
- Hardening & Automation: Transition from manual batch data reviews to automated, daily recurring data syncs.
- Annual Maintenance & Continuous Monitoring: Establish a feedback schedule to monitor model accuracy and adjust parameters as data accumulates.
BUILD YOUR ANALYTICS ROADMAP
Build your analytics roadmap with Talentus Global.
Share a few details about your institution and the outcome you want to improve. Our team will get in touch to discuss the best analytics starting point.
FAQ’s
Do you have more questions?
Schedule a consultation now to speak directly with an EdTech specialist.
Our Analytics service is an AI-powered institutional intelligence platform that transforms your raw academic, operational, and enrollment data into actionable insights. It gives decision-makers a 360° view of institutional performance — from student success metrics to financial and retention indicators.
No. While it includes powerful dashboards, the platform goes far beyond visualization. It offers predictive modeling, automated alerts, cohort analysis, and integration with your SIS, LMS, and CRM — enabling your institution to take proactive, data-driven actions, not just observe trends.
Our analytics platform connects with the major systems used in Higher Education, including Student Information Systems (SIS) like Thesis Elements, Ellucian Banner, and Anthology Student; LMS platforms like Canvas, D2L, Open LMS, and Moodle; CRM's like Salesforce, Element451, HubSpot, and Odoo; and ERP's like Oracle, SAP, Workday, Sage, and Odoo. Custom API connections are also supported.
Not at all. Most institutions start with imperfect, siloed data — and that is exactly where we help. Our onboarding process includes data profiling, cleansing, and normalization so that insights are reliable from day one, even as your data matures over time.
Absolutely. Many of our clients begin with one focused use case — such as early student risk detection or enrollment funnel analysis — and expand from there. Our modular architecture allows you to scale the analytics layer at your own pace, adding new data sources and use cases as your institutional needs grow.