Customer introduction

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Formed by the merger of Pfizer Pretron and Mylan, Huizhi is a new type of global healthcare company. We are the world's No. 1 generics company with approximately 40 manufacturing sites around the world that produce approximately 1,400 compounds and biologics, including oral solid formulations, injectables, compound formulations and apis. Our portfolio includes globally recognized iconic pharmaceutical brands, generics, complex generics and biosimilars, as well as a wide range of over-the-counter medicines. Serving patients in more than 165 countries and territories. Huizhi has more than 5,000 employees in China, covering more than 300 cities across the country. Pfizer Dalian factory was established in 1989, is one of the earliest foreign pharmaceutical production enterprises in China.

Face challenges

  • The technology route has changed from the Serverless SaaS model cloud data warehouse construction method to the highly autonomous and controllable way of data and technology construction.

  • Ensure data security and compliance by building a privatized big data technology platform to process data that may contain sensitive patient information, clinical trial data, and proprietary R&D information.

  • The business and research and development processes of pharmaceutical companies are relatively complex and require customized solutions to meet specific business and research requirements.

Scheme introduction

Previously, some of Huizhi's data platforms used third-party cloud vendors' feature-rich and easy-to-use SaaS services on the cloud, which basically realized the data storage and management of daily business data, but for the core business data part, there are great concerns about data security and controllability.

In 2022, with the development of Huizhi's business planning, more business core data needs to be added to the data lake. Through in-depth communication with Huizhi's technical department, Huizhi decided to use the overall construction idea of high independent controllability and data guarantee to build a private lakehouse integrated platform. Using UCloud to provide IDC and equipment rental as well as data lake platform system privatization deployment of a complete set of solutions, the two parties established cooperation.

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Scheme characteristics

  • Through hybrid cloud deployment, the enterprise can build an independent and controllable data lake platform with security and controllable, elastic and agile, and disaster recovery capabilities

  • Use public cloud host, US3 and USDP for big data development and debugging; A private USDP production cluster is deployed in the hybrid cloud to build a core data storage and analysis service system

  • Use enterprise-level identity authentication, authorization and fine-grained data access control technology to effectively protect the security of enterprise core data

  • Embrace Hadoop open source technology ecology to achieve flexible control of data analysis architecture and technology

Project income

  • The Hucang integrated data platform realizes the unified life cycle management of data assets in various links such as user testing, drug research, and enterprise operation roles

  • To provide a unified support platform for global data scientists to scientific analysis and machine learning scenarios based on massive data

  • Data privacy protection, private deployment of core data analytics services, can effectively reduce the risk of data leakage and abuse, and protect patient privacy

  • Sustainably upgraded USDP ensures that technology iteration keeps pace with business development needs

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