Publishing solutions provider Ixxus has announced that its client, Decision Resources Group (DRG), has launched a new, intuitive platform, the Ask DRG Insights Platform. The platform enables DRG customers to obtain healthcare research, data and insights in real-time, and covers over 150 diseases, 300 companies and 17 high-level therapy areas.
Ixxus designed and built the technology underlying the platform, which provides asset management, powerful search and discovery, and innovative content-to-content linking. Kentico is integrated as an authoring tool and Drupal for front-end delivery, creating an end-to-end publishing workflow.
The platform leverages a custom taxonomy alongside metadata enrichment and content-to-content linking to realise a sophisticated network of knowledge. Diseases, companies and drugs are stored at a granular level and linked together to create dynamic, visually-driven insight into the healthcare landscape.
These content associations make it possible for DRG to easily and efficiently assemble insightful reports on chosen topics, and to surface relevant content to new audiences. Reports no longer need to be created as linear, monolithic blocks, but can be rapidly and flexibly assembled from content objects to produce custom offerings on-demand.
Ixxus worked closely with DRG, utilising an agile methodology over 3 phases and 10 months to complete the project. An initial MVP (Minimum Viable Product) was designed and delivered within 4 months, allowing DRG to reap the advantages of the new platform as quickly as possible while continuing to iteratively input into the final solution.
The solution incorporates a number of Ixxus Publishing Modules, including Collections, Two-Way Association and Bulk Metadata Upload: specialist publishing tools designed to meet common publishing challenges and accelerate clients' digital transformation programs.
Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).
