Combining Cloud-Native Solutions with an Existing Product Line
Many front-line decision makers at learning institutions are not technology experts. Evisions sought to help those decision makers find information quickly, instead of them spending months trying to get answers from data. “Two of the main goals of our partnership with NorthBay were to ensure our products are compatible with a wider variety of solutions and to provide our clients a smooth glide path to the cloud,” says Peter Wilbur, technical product manager at Evisions.
NorthBay helped Evisions create an AWS-based transformative platform that features a new data ingestion layer, a software-as-a-service data lake, and a data consumption and access application. These solutions allow customers to expand data access more broadly across campus and automate repeatable tasks, allowing their technology and data experts to solve more pressing problems.
DORIS, a serverless data model based on AWS Lambda functions, automatically ingests institutional data, which is then sent to an enterprise data lake. The first focus for DORIS was to help automate the collection and submission of Integrated Postsecondary Education Data System (IPEDS) survey data and allow institutional researchers to leverage that same clean source data for other insights.
The data access solution, CADMUS, allows customers to quickly and securely query data and create, combine, and extend data collections. CADMUS allows nontechnical users to access or create ad hoc data sets. Existing customers can connect their current Evisions toolset as one of the data source options.