Aizon's Contextualization Functionalities Solution Brief
Variables, attributes, events measurements, amongst any other outputs derived from different and dispersed sources from manufacturing companies, are commonly stored for the sake of conducting audits compliant within the 21CFR P11 code, or for business/operational analysis.

This leads to valuable data stored in multiple systems creating an ever-increasing amount of silos resulting in uncontextualized, disconnected large-scale data sets which are commonly accessible by only a small group of people, departments, or business units with the proper access permissions and tools to consume it. This leads to low visibility, collaboration, and in some cases to inaccuracy, having a non-positive impact on efficiency.

Aizon provides a regulated, secure, and encrypted data lake for GxP environments to acquire data and transform it into knowledge, dismantling data silos, and enabling data contextualization.

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