With the rapidly changing consumer behavior and needs, health tech and life sciences product designers and engineers are constantly under pressure to stay one step ahead in product management. Regulatory bottlenecks, human errors, and information silos slow down production and management processes, thus driving down productivity. Agile PLM support empowers health tech and life sciences organizations to deliver product quality, reduce waste, comply with regulations, improve safety and gain a competitive advantage. It also enables organizations to optimize data structures and streamline workflows.
Here’s how agile PLM helps life sciences organizations to fast-track product implementations, integrations and customizations to make them stand out:
Single Data Repository:
Data storage, distribution and security, are big concerns for life sciences organizations. As they have to manage a huge amount of data every day, traditional storage and collaboration systems require manual intervention and significantly hamper productivity. They also increase the chances of human error and keeps the R&D team from focusing on more creative processes.
With an oracle agile PLM instead of switching between multiple data sources and apps, organizations simply rely on a single data repository. Teams effectively collaborate through this platform and access relevant data on and off-site. The data backup feature also allows organizations to easily search and access older data.
Compliance With the Protocols:
Regulatory compliance is a big concern for life sciences and health tech organizations. Non-compliance of the production practices and product quality with local and global authorities’ standards lands organizations into serious financial trouble.
An effective PLM system ensures that the product complies with the regulatory standards throughout its lifecycle. It helps to identify and control a non-conforming product. It also lists down the preventive measures that organizations need to take to make their products comply with the standards.
Seamless Collaboration and Workflow:
A change in one element can trigger a revision in the whole product design. Life sciences organizations need rapid collaboration to avoid production delays and ensure quality. Without a PLM system, productivity gets severely compromised. This is because employees spend too much time collaborating on re-entering data, rectifying mistakes, and approving changes through different mediums.
PLM integrations with existing ERPs enable interconnectivity among various departments and improve the collaboration among teams. This enhances the speed and quality of the data entry. It also makes the update, distribution, and approval processes easier as all teams follows the same protocols and have access to real-time discussions and evaluations.
Improved Project Delivery:
Lack of a proper storage and collaboration system makes it hard for employees to keep track of the project progress. Delays in the management processes and decision-making impact the timely completion of projects and make organizations lose valuable customers.
Oracle Agile PLM enables organizations to fast-track operations through real-time tracking of the progress. Through an intuitive dashboard, employees can ensure a smooth flow of operations and make timely decisions.
Besides these benefits, agile PLM also helps life sciences organizations leverage industry-specific capabilities and tools like clinical trial finders, special dictionaries, and supporting research to address their unique needs. These enable the life sciences organizations to become more effective. They also help reduce production time, obtain authorizations quickly, and manage renewals or variations.
Xavor Corporation has spent 25 years digitizing the life sciences organizations and enabling them to perform at their best potential. Our services enable organizations to become efficient by optimizing common data structures and processes across the infrastructure. We ensure that organizational problems get minimized by sharing accurate, consistent, and common data. We also aim to bring together data from disparate groups or new business mergers and acquisitions.