Data-Driven Decisions for Education

Knowi connects directly to the database behind your LMS — whether that is Canvas (PostgreSQL), Blackboard (SQL Server/Oracle), or Moodle (MySQL/MariaDB). You can also pull data via the Canvas Data API or Blackboard REST API. No CSV exports, no middleware — just point Knowi at your LMS database and start building dashboards immediately.

Knowi's cross-source join lets you blend data from Banner, PeopleSoft, or Workday Student with Canvas or Blackboard LMS data and your financial aid system in a single query. The data stays in each source system — Knowi queries them directly and joins results on the fly, so you skip the warehouse entirely. Most institutions are running their first cross-system dashboard within a day.

For multi-campus institutions, you need a tool that can connect to different data sources per campus, compare performance across locations, and deliver dashboards to deans and administrators without requiring SQL skills. Knowi handles all three: it connects to 30+ data sources, supports cross-campus comparison dashboards, and includes natural language search so any administrator can explore data by typing questions in plain English. Multi-tenant security ensures each campus sees only its own data when needed.

Knowi's built-in machine learning models can be trained on your historical student data — GPA trends, credit accumulation, LMS login frequency, assignment completion rates, and financial aid status. The model identifies early warning patterns and flags at-risk students in a dashboard that advisors can check daily. Unlike standalone ML tools, the predictions live inside the same platform as your dashboards, so there is no extra integration step.

Yes. Knowi lets you combine historical enrollment data with application volumes, acceptance rates, yield rates, and demographic trends to build enrollment forecasts by program, campus, and term. Finance and admissions teams can use these forecasts directly in budget planning dashboards. Scheduled report delivery ensures stakeholders get updated projections automatically on the cadence they need.

Knowi supports scheduled report generation in PDF, CSV, or Excel format. You can build queries that match IPEDS reporting categories — graduation rates, enrollment by demographics, financial data — and schedule them for automatic delivery before filing deadlines. The same approach works for accreditation self-studies and board reports. Once configured, the reports regenerate with fresh data every cycle without manual effort.

Yes. Knowi includes natural language search that lets anyone type a question like "show me first-year retention rate by major for Fall 2025" and get an instant chart. No SQL, no training, no IT tickets. Deans, advisors, department chairs, and enrollment managers can all self-serve. Role-based access controls ensure each user only sees the data they are authorized to view.

The biggest difference is that Knowi does not require a data warehouse. Tableau and Power BI need you to first consolidate your SIS, LMS, and financial data into a warehouse like Snowflake or BigQuery before you can visualize it — a project that typically takes 3-6 months. Knowi connects directly to Banner, PeopleSoft, Canvas, Blackboard, and your financial systems, and joins across all of them in real time. It also includes built-in ML for predictive analytics and natural language search, which Tableau and Power BI require separate tools or add-ons for.

No. Traditional BI tools require you to build a data warehouse or data lake first, which typically takes months and significant IT resources. Knowi connects directly to your SIS, LMS, financial systems, HR databases, and CRM — and lets you join data across all of them in a single query without moving it. You can go from raw institutional data to a production dashboard in minutes, not months.