Businesses today are swamped with data. Valuable insights are hidden among different data silos, leading to inefficiencies across the entire organization. While data scientists can help tame the flood of data, qualified individuals are in short supply. As a result, the few on staff are left to deal with piles of ad hoc analyses and manual, labor-intensive projects that yield little value to the organization.

Organizations therefore need a scalable framework to create, validate, and consume data science workflows. From accessing and aggregating data to sophisticated analytics, modeling and...

Science-based organizations need to optimize operations by improving efficiency while maximizing quality and adhering to regulations, while driving innovation. These challenges also apply to the lab environment, which needs to remove inefficiencies and compliance risks from lab processes and to provide a collaborative environment for innovation.

The solution is to remove disconnected and paper-based processes that are error-prone and hamper access of relevant data throughout the research, development and manufacturing lifecycle.  It is imperative to make decisions as early as possible in the...

Quality helps ensuring patient safety, treatment efficacy, sustainability and protection of brand reputation. Dassault Systèmes helps achieving Quality and Business Excellence with a new a comprehensive data-centric approach to Quality, ensuring digital continuity, data integrity and a “Single Source of Truth” of information. The integrated capabilities include Quality Document and Content Management with automated tasks, electronic signatures, standardized controlled processes and audit trails, Quality Process Management (like CAPA investigations or root-cause analysis) with immediate...

Organizations need to maximize efficiency, reduce costs and control product quality, variability and yield. BIOVIA provides process development, quality, and manufacturing users with self-service, on-demand access to process and quality data from disparate databases and paper records. It automatically aggregates and contextualizes the data and enables ad-hoc statistical investigations. Teams across different departments, organizations and geographies can collaborate and gain actionable insights. The discipline supports three major areas that empower production operations, shorten time to...

Declining R&D productivity is forcing organizations to think outside the box to keep up with increasing consumer demands. Relying on physical experimentation alone is not economically sustainable in such a climate. Researchers need to facilitate a deeper understanding of both how and why their products work to better tie them to project and business goals.

Modeling & Simulation provides a snapshot of the fundamental atomic interactions supporting product performance. In silico testing allows researchers to test concepts with minimum risk and lower costs, unlocking new avenues of ideas to...

Scientific discovery arises from the collaboration of diverse teams. The types of content they utilize can be equally as diverse, across disciplines such as cheminformatics, bioinformatics, proteomics, genomics and more. Organizations must ensure that researchers have the tools they need to effectively analyze and share this content to maximize its impact.

Leveraging a common framework for managing scientific content helps facilitate an environment of collaboration across internal and external R&D networks. Researchers can easily aggregate, process and analyze data while rapidly sharing and...