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What is Skyland PIMS?

Skyland PIMS® presents a holistic approach to managing product and process data from start to finish. This collaborative platform caters to both new and established global drug sponsors as well as contract manufacturing organizations (CMOs), enabling them to efficiently manage critical information related to development, manufacturing, and quality assurance. With its cloud-based framework and validatable software, it offers rapid implementation and lowers the total cost of ownership (TCO). The system helps maintain data consistency, clarity, and oversight throughout the entire supply chain, leading to faster and more effective scaling, technology transfers, and market launches. Users can effortlessly capture batch details and leverage summary dashboards for efficient data monitoring, release tracking, analysis, and reporting. Additionally, the platform simplifies the oversight of product and process specifications, along with target control limits, while facilitating easy audit trail generation. Moreover, it adeptly integrates batch and limits data to produce valuable process analysis and control charts. Compliance with CPV/APR reporting mandates is straightforward, all while upholding a continuous library of product and process data that ensures transparency and integrity across international networks. By optimizing data management across the product lifecycle and supply chain, Skyland PIMS® bolsters operational efficiency and strengthens collaboration among stakeholders. This cutting-edge approach not only enhances regulatory compliance but also encourages a culture of ongoing improvement within organizations, ultimately leading to better outcomes in drug development and manufacturing. As a result, stakeholders can expect increased productivity and a more responsive supply chain.

What is MODA?

The MODA Platform acts as a comprehensive solution that unifies manufacturing and laboratory data into a single accessible source, with the goal of accelerating the launch of pharmaceutical products while minimizing labor-intensive and error-prone processes. Tailored to meet user needs, this platform is both modular and scalable, allowing organizations to start with a module that meets their current demands and expand as required. Key components include MODA-EM for Quality Control, which streamlines all QC activities; MODA-ES for Manufacturing, providing intuitive and adaptable electronic batch records; and MODA eLogs for electronic documentation, featuring easy-to-use digital logbooks that ensure regulatory compliance. Specifically designed for the pharmaceutical industry, the platform tackles the drawbacks of traditional paper records, including delays in approval processes, entry inaccuracies, and potentially hazardous calculations, thereby facilitating a seamless transition to digital operations. In addition to boosting efficiency, this groundbreaking solution fosters a culture of quality and compliance throughout the organization, ultimately leading to improved product integrity and safety in the market. Overall, the MODA Platform stands as a vital tool for modernizing pharmaceutical operations and enhancing overall productivity.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IDBS

Date Founded

1989

Company Location

United Kingdom

Company Website

skylandanalytics.net

Company Facts

Organization Name

Lonza

Date Founded

1897

Company Location

Switzerland

Company Website

bioscience.lonza.com/lonza_bs/US/en/informatics-paperless-solutions

Categories and Features

Life Sciences

Not specified

SPC

Not specified

Statistical Analysis

Not specified

Categories and Features

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