
Evisions DORIS is due to be released in early 2021. For now, enjoy this sneak peek!
What is DORIS?
- A data platform that allows data to be collected from any source data system
- A data lake that collects data in batches or streams from across the institution
- A data warehouse with a data model that serves as a centralized source of truth for intent driven reporting and insight
Why DORIS?
- Disparate data systems within an institution or system of institutions
- High volumes of data and issues of data quality as they relate to completeness, accuracy, timeliness, and availability
- A lack of consistent longitudinal data across the institution or system
DORIS Data Flow
Partner Case Study
Read how Evisions partnered with NorthBay Solutions and Amazon Web Services (AWS) to build Evisions CADMUS and DORIS, web-based solutions that enable our higher education clients to access their data more quickly, easily, and confidently.
Features & Capabilites
Data source configuration management
Data snapshots
- For longitudinal insight
Automation of data collection
- Manual
- Scheduling
Historical data configuration and management
- Raw data identification
- Data mapping to DORIS model
Data snapshot tagging
- Fall census, Spring census, Pre-Fall Summer census, Post-Spring Summer census, Full year term end, Full year June end
Data model entity configuration and management
- Raw data identification
- Data mapping to DORIS model
DORIS Benefits
Data serves as the foundation of the institution
- Intent-driven (Your data, not ours)
- Defined + Reliable = Confidence
- Agnostic collection and data delivery
Ease of collaboration across the institution
- Larger institutions might have the time & resources to build this themselves, but many don’t
- Goal is to get the institution’s data into one place
Time-to-Report & Time-to-Value = Quicker & More Consistent
API based data collection and delivery
No longer need to iterate on the same data over and over
Every problem doesn’t need to be solved at once
- Start with a small set or single problem
- Iterate and build
Logical and easier to understand than an entire back-end data system
Accessible and actionable
- In-depth understanding of the actual data is not required