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Aalto University enhances its remote access services and speed digital transformation with Ex Libris Higher-Ed cloud platform -

Ex Libris®, a ProQuest company, has announced that Aalto University in Finland has selected the Ex Libris Alma® library services platform and Primo® discovery and delivery solution as part of a drive to upgrade the university’s library. The integrated systems will unify the management of resources, simplify and automate workflows, free up staff for working on new initiatives, and strengthen the library’s ability to make comprehensive services available remotely.

The university’s current library system consists of products from several providers and does not offer the flexibility that the university requires. Because of the multiple tools in use, the librarians spend a considerable amount of time and effort carrying out routine tasks. To address the problems, the university decided on a single-supplier approach, which would deliver a seamless and more efficient service.

As an Ex Libris Voyager® customer, Aalto University is familiar with the quality of Ex Libris services. The cloud-based Alma platform will take the library’s management processes into the digital age, enabling the staff to automate workflows and improve the quality of the user experience while reducing the time and cost required for task management. To better serve faculty members, researchers, and students, especially during the challenging times, the library will be able to provide a single access point via the Primo search interface. Patrons will benefit from rapid discovery of comprehensive, relevant materials, both on-campus and off.

The integration of the Alma platform and Primo discovery will help Aalto University modernise operations and become more efficient at managing, analysing, and delivering print and electronic resources. The library must be able to support remote research, teaching, and learning.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

Click here to read the original press release.


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