Oracle Announces Oracle® CRM On Demand Release 17
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.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
