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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 Lumada IIoT?

Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.

Media

Media

Integrations Supported

Integrations Supported

Hitachi Visualization Suite

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

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

IDBS

Date Founded

1989

Company Location

United Kingdom

Company Website

skylandanalytics.net

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

Categories and Features

Life Sciences

Not specified

SPC

Not specified

Statistical Analysis

Not specified

Categories and Features

Data Pipeline

Not specified

DataOps

Not specified

EAM

Not specified

Industrial IoT

Not specified

Integration

Not specified

IoT

Big Data Analytics
Data Collection
Data Management
Device Management
Performance Management

IoT Analytics

Not specified

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