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Case Studies

DATA SCIENCE
DRIVE KNOWLEDGE-BASED DECISIONS

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 reporting, automating these processes allows novice users to get the most of their data while freeing up expert users to focus on more value-added tasks. Utilizing a common framework also ensures best practices are captured and shared enterprise-wide. Democratizing data science helps teams do more with less and unlock the innovations that today’s businesses need to survive and thrive.

SCIENTIFIC INFORMATICS
TRANSFORM SCIENTIFIC DATA INTO KNOWLEDGE

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 discussing results. Scientifically-aware tools also help guarantee that researchers have the capabilities they need to explore their data more deeply. Together, such an environment facilitates innovation and helps researchers guide their work via data-driven decisions.

BIOPHARMA QUALITY AND COMPLIANCE
DRIVE DATA-CENTRIC QUALITY EXCELLENCE IN BIOPHARMA

Quality is essential for patient safety, treatment efficacy, sustainability and protection of brand reputation. Dassault Systèmes helps organizations achieve Quality and Business Excellence with a new and comprehensive data-centric approach to Quality that supports patient safety, treatment efficacy, sustainability and protection of brand reputation—all based on digital continuity, data integrity and a “Single Source of Truth.” Integrated capabilities include Quality Document and Content Management including automated tasks, electronic signatures, standardized processes, audit trails and Quality Process Management (e.g., CAPA investigations or root-cause analysis).

The system provides immediate access to data and documents with hyperlinks and Quality Intelligence using machine learning and federated search. Developed for the highly regulated BioPharma industry, this cloud-based solution supports full regulatory compliance with a modern, intuitive user interface and is readily scalable from only a few to 100,000 users.

FORMULATIONS DESIGN
ACCELERATE PRODUCT LAUNCHES

Organizations that manufacture formula-based products must ensure regulatory compliance globally and efficiently manage the complete lifecycle from idea to label. By facilitating the management of product complexity as well as the regulatory requirements for global formulations, BIOVIA’s solution for Formulations Design and Management helps to improve productivity, manage costs and speed products to market.

It gives formulators instantaneous regulatory guidance throughout formulation development and provides secure access to all current and historical product development data that significantly increases efficiency. It helps accelerate product innovation and product launches while successfully navigating complex regulatory requirements and more effectively managing and leveraging their formula, packaging and consumer Intellectual Property (IP) in a single, global PLM solution.

LABORATORY INFORMATICS
OPTIMIZE LAB PRODUCTIVITY AND COMPLIANCE

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 lifecycle, in order to drive innovation and to optimize processes and products. Digital Laboratory Informatics capabilities allow for streamlined and more efficient lab workflows, harmonization and standardization and a fully integrated and automated easy-to-deploy process.

MANUFACTURING ANALYTICS
EMPOWER PRODUCTION OPERATIONS IN PROCESS INDUSTRIES

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 market, and maximize profitability. It helps improve process design by understanding the critical process parameters, increase process performance by monitoring variability enabling preemptive action and drive process improvement by understanding and control process and product variability.

MOLECULAR MODELING AND SIMULATION
FOSTER INNOVATION WITH IN SILICO DESIGN

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 explore. By tying the virtual and real worlds together, researchers can better guide their projects with virtual tests guiding physical ones and vice-versa. As a result, teams are able to create better performing, safer and cost-effective products, leading to improved patient outcomes.

Case Studies

The Commonwealth Scientific and Industrial Research Organisation

Financial business services case study

Read Case Study

INTECSEA

WorleyParsons Group

Energy, Process & Utilities Case Study

Read Case Study

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Design Optimization
Design Simulation
Electromagnetic Design Solutions
Materials Data Management
Materials Data Selection
Modelling and Visualization
Multiphysics Simulation
Simulation Process Management

DATA SCIENCE
DRIVE KNOWLEDGE-BASED DECISIONS

SCIENTIFIC INFORMATICS
TRANSFORM SCIENTIFIC DATA INTO KNOWLEDGE

BIOPHARMA QUALITY AND COMPLIANCE
DRIVE DATA-CENTRIC QUALITY EXCELLENCE IN BIOPHARMA

FORMULATIONS DESIGN
ACCELERATE PRODUCT LAUNCHES

LABORATORY INFORMATICS
OPTIMIZE LAB PRODUCTIVITY AND COMPLIANCE

MANUFACTURING ANALYTICS
EMPOWER PRODUCTION OPERATIONS IN PROCESS INDUSTRIES

MOLECULAR MODELING AND SIMULATION
FOSTER INNOVATION WITH IN SILICO DESIGN

Other Products

Get in Touch

Design Optimization Design Simulation Electromagnetic Design Solutions Materials Data Management Materials Data Selection Modelling and Visualization Multiphysics Simulation Simulation Process Management

DATA SCIENCE DRIVE KNOWLEDGE-BASED DECISIONS

Other Products

Get in Touch

Design Optimization
Design Simulation
Electromagnetic Design Solutions
Materials Data Management
Materials Data Selection
Modelling and Visualization
Multiphysics Simulation
Simulation Process Management

DATA SCIENCE
DRIVE KNOWLEDGE-BASED DECISIONS