Pharma Manufacturing Use Cases

Explore example use cases and learn how to AWS cloud-technology can help optimize manufacturing processing, bring insights to the shop floor, and support GmP compliance.

  • SAP in the cloud
  • Data-driven Insights
  • AI/ML for optimization
  • Continuous compliance
  • SAP in the cloud
  • SAP in the cloud

    A large number of pharma and biotech organizations use SAP as their Enterprise Resource Planning (ERP) system. On-premises SAP installations typically need large internal teams for management, take significant effort to upgrade, and are sized to support peak volumes. This results in day-to-day underuse of infrastructure support and investment.

    SAP S/4HANA on AWS Cloud gives you greater flexibility in managing your resourcing. You get the ability to scale up and down, which typically provides a cost savings compared to on-premises deployments. Moreover, moving to SAP on AWS allows for the rapid, ongoing iteration of the latest SAP components, helping pharma organizations adopt modules for compliance quicker than on-premises. To simplify the migration of SAP to the AWS Cloud, an SAP HANA AWS Quick Start is available which provisions and configures the infrastructure required to deploy SAP HANA in minutes, following best practices from AWS. AWS also provides a GxP Installation Qualification (IQ) Template that helps customers plan and document their SAP HANA installation activities to expedite the setup and validation of SAP on AWS.

    Case studies

    Amgen Webinar

    In this webinar, learn how Amgen has migrated SAP applications to AWS while maintaining GmP compliance.

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    BMS Webinar

    In this webinar, learn how Bristol-Myers Squibb migrated to SAP on AWS and as a result gained performance improvements while reducing costs.

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    Moderna case study

    In this case study, learn how Moderna Therapeutics' production facility is enabled by SAP S/4HANA in a GxP IT environment on the AWS Cloud.

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    Whitepaper

    SAP HANA on the AWS Cloud to support GxP compliance, improve security, and achieve greater business agility.

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    SAP HANA Quick start

    Provision and configure the infrastructure required to deploy SAP HANA in minutes, following best practices from AWS.

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    Installation Qualification (IQ) Template

    This editable document will provide customers with a real-world example of qualifying infrastructure-as-code deployments.

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    SAP rapid migration test program

    Migrate your SAP solution running on non-HANA database to the SAP HANA database in just a few days with this rapid migration test program. 

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    Moderna webinar

    Get details on how Moderna built out their cloud based GmP strategy using SAP S/4HANA on the AWS Cloud.

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    Blog

    Learn about SAP and AWS Collaboration for Life Science Customers

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  • Data-driven Insights
  • Data-driven Insights

    Limited data visibility in pharma manufacturing can make it challenging to derive meaningful insights on the shop floor. In some cases, legacy manufacturing equipment lacks IoT sensors for monitoring key parameters, and in other instances data, is trapped in siloed data historians and cannot be easily analyzed.

    AWS offers an OSIsoft PI System QuickStart to help companies gain access to data in their historian systems, and unleash the full value of batch and time-series data to provide insights. For organizations with digitized operations, AWS offers IoT services that pull data into a secure, fully auditable Data Lake on AWS, and analytics for near real-time analyses on the shop floor.

    Case studies

    Bigfinite case study

    In this case study, learn how Bigfinite uses IoT and analytics to improve pharma manufacturing efficiencies.

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    Merck article

    In this article, learn how Merck optimized their manufacturing processes using analytics on AWS.

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    Whitepaper

    In this whitepaper, learn how Data Lakes can help organizations glean new insights from existing data.

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    OSI Pi Soft connector

    Access the Quick Start Reference deployment to enable analytics on your time series data.

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    Webinar

    Intro to AWS Lake Formation 

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    Blog

    Blockchain and the pharmaceutical supply chain: driving security and transparency with AWS Advanced Consulting Partner, PWC 

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    Blog

    How to quickly build, test, and deploy your data lake with AWS and APN Partners, such as Databricks

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  • AI/ML for optimization
  • AI/ML for optimization

    The speed at which manufacturers can identify process problems, product defects, and equipment maintenance issues influences operational efficiency. As a result, manufacturers are turning to cloud-based AI/ML to help align data from disparate systems and spot patterns from vast stores of data quickly.

    Amazon SageMaker combines easy-to-deploy machine learning models and access to scalable computing capacity so manufacturers get the speed they need to unlock insights from manufacturing data, and improve overall plant efficiencies.

    Case studies

    Whitepaper

    Modernizing life sciences manufacturing: How analytics, IoT and the cloud are rewriting drug production

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    Novo Nordisk Webinar

    In this webinar learn how Novo Nordisk improved its operational efficiency by utilizing machine learning in the AWS Cloud.

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    Bigfinite case study

    In this case study, learn how APN Technology Partner, Bigfinite uses AI/ML to improve pharma manufacturing efficiencies.

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    Reference architecture

    See example reference architectures for establishing a data lake, predictive analysis, and real-time inference in pharma manufacturing.

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    Blog

    Training machine learning models in pharma and biotech manufacturing with Bigfinite.

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  • Continuous compliance
  • Continuous compliance

    Critical to pharma manufacturing is remaining compliant with Good Practice (GxP) guidelines. For pharma facilities using on-premises IT infrastructure, this requires labor-intensive manual validations of compliance at specific points in time.

    By moving GxP regulated workloads to the AWS Cloud and utilizing services like AWS CloudTrail, Amazon CloudWatch, and AWS Config, pharma companies can log every change to the system and move to an automated and near real-time continuous compliance approach. This provides enhanced traceability and trackability, while decreasing the need for labor-intensive point-in-time audits of systems. AWS offers compliance consultants and essential documentation to help approach validation of regulated environments.

    Case studies

    Moderna case study

    In this case study, learn how Moderna built a manufacturing facility using SAP S/4HANA in a GxP validated environment in the AWS Cloud.

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    Merck Webinar

    In this webinar, learn how Merck moved to a continuous compliance model for regulated life sciences applications.

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    Novartis Webinar

    In this webinar, learn how Novartis used APN Technology Partner Turbot to implement and automate GxP compliance controls.

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    Whitepaper

    GxP in the AWS Cloud- the compliance and efficiency benefits of rethinking regulated workloads

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    Whitepaper

    Considerations for using AWS products in GxP systems

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    Training

    Introductory eLearning course for healthcare and life sciences compliance on AWS

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    Webinar

    Achieving continuous compliance using AWS Config

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    Webinar

    In this webinar, learn how to move to continuous compliance in life sciences

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    Blog

    Managed security and continuous compliance

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