Problems that solves
High costs of routine operations
No automated business processes
Lengthy production timelines
Shortage of information for decision making
Poor communication and coordination among staff
Reduce Production Timelines
Support Decision Making
Enhance Staff Productivity
DRIVE KNOWLEDGE-BASED DECISIONS
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.
- 33% decrease in time and cost to develop models
- 50% reduction in time for aggregating data
- 38% reduction in development time
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.
- 30% reduction in errors
- 50% reduction in documentation time
- 40% increase in lab productivity
Quality & Compliance
DRIVE DATA-CENTRIC QUALITY EXCELLENCE IN BIOPHARMA
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 access to data and documents through a single user interface. Quality Intelligence provides trends and insights for data-driven decisions.
- 60% increase in right first time submisssions
- 80% reduction approval times
- 85% improvement in regulatory compliance
EMPOWER OPERATIONS IN PROCESS INDUSTRIESOrganizations 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.
- 95% reduction in time for data aggregation
- 90% reduction in time for APR generation
- 10% - 15% improvement in manufacturing productivity