Daiichi Sankyo\u2019s mission to become a global oncology leader required significant improvements to information and intelligence. Download the full case study to learn how the Competitive Intelligence & Library Services team (CI-LIB) is achieving its goals with a custom solution created from Copyright Clearance Center (CCC)\u2019s RightFind Suite.<\/p>\n\n\n\n
Daiichi Sankyo set out with CCC\u2019s professional services consultants to create a custom solution known internally to their end users as ORION. The state-of-the-art integrated digital library ecosystem utilizes CCC SaaS software products in the RightFind Suite, including RightFind Navigate and RightFind Enterprise, to drive the integration of content resources, including public, licensed, subscribed, and proprietary internal assets.<\/p>\n\n\n\n
Prior to ORION, users toggled between five disparate systems to find all the scientific content relevant to their work. Today, Daiichi Sankyo users can now search across more than 55 scientific databases at the same time, including STM article citations, publisher subscriptions, eBook chapters, patents, clinical trials, news, competitive intelligence, posters, and reports. Users span the organization\u2019s global workforce \u2013 including departments like medical affairs, drug safety, competitive intelligence, medical writing, and R&D.<\/p>\n\n\n\n
When an employee has a need for scientific information \u2013 be it a piece of literature, a preprint, a clinical trial, or a patent \u2013 they search the ORION portal. Through the platform they can seamlessly determine their access and usage, purchased content, store information into shared libraries, and collaborate with colleagues across departments and geographic borders.<\/p>\n\n\n\n
Bringing together so many information sources could increase the potential of information overload, but personalization and semantic search features work to get the most relevant content to each individual. Users can explicitly select their favorite data sources to increase the relevancy of their search results. Additionally, ORION employs implicit personalization through machine learning, so users are delivered personalized content recommendations using CCC\u2019s proprietary algorithm.<\/p>\n\n\n\n
Semantic search features allow users to identify relevant documents with an expanded search that incorporates synonyms to find relevant scientific concepts faster and accelerate discoveries. With semantic enrichment, ontologies are built into both search and reading experiences so users can find relevant scientific concepts faster. When searching, users can identify relevant documents with automatic synonym expansion and homonym resolution. Once an article is found, the user can do on-the-fly document enrichment to quickly navigate to relevant concepts within full-text article.<\/p>\n\n\n\n
Daiichi will continue to expand their CCC solution to meet the organization\u2019s unique workflow and data needs. For next steps, in addition to scaling ORION across the global departments (customizing settings and data sources for the unique needs of specific functional areas and geographic regions), expanding AI and data capabilities, and increasing the third-party data connectors users can search across are top priorities.<\/p>\n\n\n\n
\u201cWe\u2019ve increased our visibility and value proposition, impacted the bottom line and reduced risk, and ultimately made work much easier for employees,\u201d said Kimberly.<\/p>\n\n\n\n
End users can feel that impact. Some of the ways users have described their experience with ORION: \u201ceasier and quicker,\u201d \u201cwell-organized,\u201d \u201ccentralized,\u201d \u201cessential\u201d and \u201can absolute must.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Daiichi Sankyo\u2019s goal was to create a \u201csingle source of truth, the very first place you should go\u201d for content access and rights information. That meant replacing the five tools they were using with one. Learn how the RightFind Suite meets their needs. <\/p>\n","protected":false},"featured_media":45310,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"tags":[],"resource_type":[950],"topic":[951,952,978,953],"class_list":["post-46025","resource","type-resource","status-publish","has-post-thumbnail","hentry","resource_type-fallstudien","topic-information-management-de","topic-pharma-and-healthcare-de","topic-research-development-de","topic-search-and-discovery-de"],"yoast_head":"\n