Oracle CRM On Demand Release 17 introduces forecasting and analytics capabilities which include flexible fiscal calendars, the ability to perform both revenue and product quantity forecasting, and real-time information comparisons against current and historical forecasts.
Release 17 also includes usability enhancements and a newly redesigned user interface that give sales teams more customized features. Oracle CRM On Demand Release 17 includes automated time-based workflows to manage sales, marketing, service and channels. It also features automated migration and data loader tools, including Oracle Migration Tool On Demand, to migrate customizations from one environment to another and the Oracle Data Loader On Demand to create, update and delete massive data volumes.
Extended Partner Relationship Management function in Oracle CRM On Demand Release 17 features new support of partner-delegated administration and analytics for deal registration, funding, and pipeline. It provides language support for Brazilian, Portuguese and Norwegian languages, in addition to the 18 currently supported languages and multi-currency capabilities.
Unifying Industry to Better Understand GCP Guidance
May 7th 2025In this episode of the Applied Clinical Trials Podcast, David Nickerson, head of clinical quality management at EMD Serono; and Arlene Lee, director of product management, data quality & risk management solutions at Medidata, discuss the newest ICH E6(R3) GCP guidelines as well as how TransCelerate and ACRO have partnered to help stakeholders better acclimate to these guidelines.
Beyond the Molecule: How Human-Centered Design Unlocks AI's Promise in Pharma
June 23rd 2025How human-centered AI that is focused on customer, user, and employee experience can drive real transformation in clinical trials and beyond by aligning intelligent technologies with the people who use them.
2025 DIA Annual Meeting: Why AI and Automation Are Set to Become the New Normal in Clinical Research
June 20th 2025Peter Ronco, CEO, Emmes, shares his long-term vision for artificial intelligence in clinical research, from making automation routine to improving drug discovery, transforming regulatory oversight, reducing animal testing, and promoting ethical, equitable data use worldwide.