One connected view across systems
Bring data from the SIS, LMS, ERP, CRM, assessment tools, and local sources into one unified platform.
Doowii unifies institutional data, governance, analytics, reporting, and AI in one place. We manage the platform end to end.
Analytics, reporting & AI
One governed experience for every approved team
Education semantic & governance layer
Configured definitions, permissions, and context
Managed data foundation
Ingestion, modeling, quality, and operations
Institutional systems & existing stack
The technology and data you already run
Connect systems, definitions, and workflows once, then give every approved team a consistent way to understand and act on institutional data.
Bring data from the SIS, LMS, ERP, CRM, assessment tools, and local sources into one unified platform.
Give leadership, institutional research, enrollment, and student success teams access to the same governed definitions and context.
Support questions, dashboards, recurring reporting, monitored indicators, and predictive analysis without creating separate data silos.
Let Doowii operate and update the platform as your sources, definitions, permissions, teams, and priorities change.
Doowii brings the technical foundation, education context, and team-facing workflows into one unified platform managed end to end. Institutional teams retain ownership of definitions and access decisions.
Bring approved data from the SIS, LMS, ERP, CRM, assessment tools, and local sources into one unified platform.
Map education concepts to local definitions, document calculation logic, and apply the permissions your institution requires.
Use the same governed platform for questions, dashboards, recurring reports, monitored indicators, and predictive analysis.
Keep the warehouse, lake, or reporting tools that serve you. Doowii connects education modeling, governance, analytics, reporting, and AI across the systems and investments in scope.
Where a shared data layer is not established, Doowii manages ingestion, modeling, governance, and platform operations end to end for institutional teams.
Questions, shared dashboards, recurring reporting, monitored indicators, and AI stay connected to the definitions, permissions, and review practices your institution governs.
Doowii generates and runs a query against approved data, then returns a result with methodology and source context available for review. Data teams retain control of definitions and access while approved users explore institutional questions from the same platform.

Describe a recurring report once. Doowii helps assemble it, refresh it on schedule, and surface what changed for review. Board, cabinet, and term reporting remain connected to the same definitions used across the institution.
Custom reports
Illustrative workflow
Chronic Absenteeism Report
Attendance · student groups · interventions
Enrollment Risk Analysis
Admissions · deposits · engagement
Board Outcomes Brief
Shared definitions · term-over-term change
Models trained on approved institutional data can highlight students, cohorts, or enrollment patterns that may warrant attention. Contributing factors provide context, and your team remains responsible for decisions.

Bring the metrics each team watches into a shared board. Pinboards refresh on the configured data schedule, helping leaders and practitioners work from the same governed definitions as reports, questions, and models elsewhere in the platform.

A metric is only useful when people understand its definition, source, scope, and access rules. Doowii begins with education-specific patterns and works with your team to reflect the language and policies your institution uses.
Common student, enrollment, course, attendance, and program concepts reduce the amount of context an institution has to create from scratch.
Cohorts, terms, statuses, and metrics are configured around local policy and operating practice rather than imposed as a generic template.
Permissions, documented logic, and source context help teams understand what a metric means and how it was assembled.
Student persistence
Institution-configured metric
Source context retained with the metric
Institutions can assemble infrastructure, extend a vendor ecosystem, or use a unified education data platform managed end to end. This comparison describes those common operating patterns rather than the capabilities of any individual vendor.
| Consideration | General-purpose platforms | Vendor-native analytics | Doowii |
|---|---|---|---|
| Primary design center | Flexible infrastructure intended for many industries and technical patterns. | Analytics designed around a specific product ecosystem and its data model. | One unified data platform designed around education systems, governance, and workflows. |
| Relationship to the existing stack | Often becomes part of the core data stack, with the institution selecting and assembling the surrounding services. | Fits most directly within the vendor’s suite; cross-stack work depends on its extension options. | Provides one unified platform across existing systems and investments, including a warehouse where one is already established. |
| Cross-system data | Broadly flexible, with connectors, models, and education context typically designed by the institution or its partners. | Often streamlined for data inside the ecosystem; external sources may require additional configuration. | Connection plans are shaped around the institution’s SIS, LMS, ERP, CRM, assessment, and local data. |
| Semantic layer | The institution defines education concepts, metrics, and governance patterns. | Begins with the vendor’s model, with configuration options varying by product. | Begins with education context, then maps definitions and metrics to institutional practice. |
| Operating responsibility | The institution and its implementation partners generally operate and maintain the assembled stack. | The vendor manages its product; the institution coordinates data and governance beyond that environment. | Doowii manages the platform end to end in partnership with institutional data and technology stakeholders. |
| Path to governed institutional use | Timing depends on architecture choices, staffing, integrations, and modeling scope. | Can be efficient inside the native ecosystem; broader use cases may add integration and governance work. | A phased implementation establishes the shared foundation around selected priorities, then expands across teams and workflows. |
Actual scope and operating model vary by product, contract, architecture, and institutional requirements.
Doowii scopes data access source by source. Depending on the system, product version, available APIs, and project needs, each connection may use a prebuilt pattern or institution-specific configuration within the unified platform.
Begin with the institutional priorities that matter most. Doowii then expands the unified platform across systems, teams, and workflows as data access, governance, and technical requirements are validated.
Align on the decisions, workflows, source systems, owners, and governance requirements that define the initial scope.
Establish approved data access, ingest the selected sources, and map institutional data to the education model.
Configure local definitions and permissions, then review outputs with the people responsible for the source data and metrics.
Roll out approved workflows, monitor the foundation, and update models and definitions as institutional needs change.
Doowii maintains a SOC 2 Type II report and builds access control, encryption, and auditability into the platform’s operating practices. These controls support governed use across systems, teams, analytics, reporting, and AI. Detailed security and privacy information is available in the Security & Trust center.
Role-aware access
Permissions aligned to approved use
Encryption
Protections for data in transit and at rest
Auditability
Controls and activity designed for review
No. Doowii unifies the SIS, LMS, ERP, CRM, assessment, and other systems already in your environment. It can work with an existing warehouse or provide the managed data foundation when one is not established.
Doowii is the unified data platform for education, managed end to end. It connects and models institutional data, applies shared definitions and permissions, and supports analytics, dashboards, reporting, monitored indicators, and AI across approved teams.
It means approved data from institutional systems, shared definitions, access controls, analytics, reporting, and AI workflows operate on the same governed platform. It does not require replacing your SIS, LMS, ERP, CRM, assessment systems, or an existing warehouse.
No. Education-ready models and common definitions provide a useful starting point. The platform is then configured to your institution's sources, terminology, permissions, and workflows, including custom data that matters only to your organization.
Data and institutional research teams retain ownership of definitions, access, and review. Doowii operates the shared platform with them, giving approved teams a governed way to use institutional data while technical stakeholders maintain control.
Results can include the interpretation, methodology, and source context used to produce them. Doowii is designed to support reviewable analysis rather than replace institutional judgment or automate consequential decisions.
We begin with the institutional outcomes and workflows that matter most, then connect the relevant sources, configure definitions and permissions, validate outputs with your team, and expand the platform across teams. Scope and timing depend on the systems and priorities involved.
Doowii maintains a SOC 2 Type II report and is designed to support institutions' student-data privacy obligations. Access, governance, and review are built into the platform, with additional documentation available through the Security & Trust center.
Start with the systems and institutional priorities that matter most, then expand the unified platform across teams and workflows.